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jackfrued 5 tahun lalu
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19 mengubah file dengan 11413 tambahan dan 3465 penghapusan
Tampilan Split Tampilkan Statistik Diff
  1. 5 5
      Day31-35/31-35.玩转Linux操作系统.md
  2. 4 16
      Day41-55/48.前后端分离开发入门.md
  3. 7 39
      Day41-55/49.RESTful架构和DRF入门.md
  4. 107 110
      Day76-90/code/.ipynb_checkpoints/1-pandas入门-checkpoint.ipynb
  5. 372 0
      Day76-90/code/.ipynb_checkpoints/2-pandas-索引-checkpoint.ipynb
  6. 5834 0
      Day76-90/code/.ipynb_checkpoints/3-pandas数据清洗之空数据-checkpoint.ipynb
  7. 494 0
      Day76-90/code/.ipynb_checkpoints/4-pandas多层索引-checkpoint.ipynb
  8. 1000 0
      Day76-90/code/.ipynb_checkpoints/5-pandas多层索引计算-checkpoint.ipynb
  9. 1209 0
      Day76-90/code/.ipynb_checkpoints/6-pandas数据集成-checkpoint.ipynb
  10. 1272 0
      Day76-90/code/.ipynb_checkpoints/7-pandas数据集成merge-checkpoint.ipynb
  11. 877 0
      Day76-90/code/.ipynb_checkpoints/8-pandas分组聚合操作-checkpoint.ipynb
  12. 107 110
      Day76-90/code/1-pandas入门.ipynb
  13. 91 1801
      Day76-90/code/2-pandas-索引.ipynb
  14. 19 1295
      Day76-90/code/3-pandas数据清洗之空数据.ipynb
  15. 11 85
      Day76-90/code/4-pandas多层索引.ipynb
  16. 1 1
      Day76-90/code/5-pandas多层索引计算.ipynb
  17. 1 1
      Day76-90/code/6-pandas数据集成.ipynb
  18. 1 1
      Day76-90/code/7-pandas数据集成merge.ipynb
  19. 1 1
      Day76-90/code/8-pandas分组聚合操作.ipynb

+ 5 - 5
Day31-35/31-35.玩转Linux操作系统.md
Tampilan Berkas 

@@ -230,7 +230,7 @@ Linux系统的命令通常都是如下所示的格式：
 
   [root@iZwz97tbgo9lkabnat2lo8Z ~]# !454
 
   ```
 
 
-  > 说明：查看到历史命令之后，可以用`!历史命令编号`来重新执行该命令；通过`history -c`可以清除历史命令。
 
+  > **说明**：查看到历史命令之后，可以用`!历史命令编号`来重新执行该命令；通过`history -c`可以清除历史命令。
 
 
 ### 实用程序
 
 
@@ -308,7 +308,7 @@ Linux系统的命令通常都是如下所示的格式：
 
    ...
 
    ```
 
 
-   > 说明：上面用到了一个名为`wget`的命令，它是一个网络下载器程序，可以从指定的URL下载资源。
 
+   > **说明**：上面用到了一个名为`wget`的命令，它是一个网络下载器程序，可以从指定的URL下载资源。
 
 
 6. 拷贝/移动文件 - **cp** / **mv**。
 
 
@@ -350,7 +350,7 @@ Linux系统的命令通常都是如下所示的格式：
 
    52:</script>
 
    ...
 
    ```
 
-   > 说明：`grep`在搜索字符串时可以使用正则表达式，如果需要使用正则表达式可以用`grep -E`或者直接使用`egrep`。
 
+   > **说明**：`grep`在搜索字符串时可以使用正则表达式，如果需要使用正则表达式可以用`grep -E`或者直接使用`egrep`。
 
 
 9. 创建链接和查看链接 - **ln** / **readlink**。
 
 
@@ -372,7 +372,7 @@ Linux系统的命令通常都是如下所示的格式：
 
    CentOS Linux release 7.4.1708 (Core)
 
    ```
 
 
-   > 说明：链接可以分为硬链接和软链接（符号链接）。硬链接可以认为是一个指向文件数据的指针，就像Python中对象的引用计数，每添加一个硬链接，文件的对应链接数就增加1，只有当文件的链接数为0时，文件所对应的存储空间才有可能被其他文件覆盖。我们平常删除文件时其实并没有删除硬盘上的数据，我们删除的只是一个指针，或者说是数据的一条使用记录，所以类似于“文件粉碎机”之类的软件在“粉碎”文件时除了删除文件指针，还会在文件对应的存储区域填入数据来保证文件无法再恢复。软链接类似于Windows系统下的快捷方式，当软链接链接的文件被删除时，软链接也就失效了。
 
+   > **说明**：链接可以分为硬链接和软链接（符号链接）。硬链接可以认为是一个指向文件数据的指针，就像Python中对象的引用计数，每添加一个硬链接，文件的对应链接数就增加1，只有当文件的链接数为0时，文件所对应的存储空间才有可能被其他文件覆盖。我们平常删除文件时其实并没有删除硬盘上的数据，我们删除的只是一个指针，或者说是数据的一条使用记录，所以类似于“文件粉碎机”之类的软件在“粉碎”文件时除了删除文件指针，还会在文件对应的存储区域填入数据来保证文件无法再恢复。软链接类似于Windows系统下的快捷方式，当软链接链接的文件被删除时，软链接也就失效了。
 
 
 10. 压缩/解压缩和归档/解归档 - **gzip** / **gunzip** / **xz**。
 
 
@@ -429,7 +429,7 @@ Linux系统的命令通常都是如下所示的格式：
 
    [root@iZwz97tbgo9lkabnat2lo8Z ~]# xargs < a.txt > b.txt
 
    ```
 
 
-   > 说明：这个命令就像上面演示的那样常在管道（实现进程间通信的一种方式）和重定向（重新指定输入输出的位置）操作中用到，后面的内容中会讲到管道操作和输入输出重定向操作。
 
+   > **说明**：这个命令就像上面演示的那样常在管道（实现进程间通信的一种方式）和重定向（重新指定输入输出的位置）操作中用到，后面的内容中会讲到管道操作和输入输出重定向操作。
 
 
 13. 显示文件或目录 - **basename** / **dirname**。

+ 4 - 16
Day41-55/48.前后端分离开发入门.md
Tampilan Berkas 

@@ -133,21 +133,7 @@ class SubjectMapper(ModelMapper):
 
     <meta charset="UTF-8">
 
     <title>学科信息</title>
 
     <style>
 
-        #container {
 
-            width: 80%;
 
-            margin: 10px auto;
 
-        }
 
-        #main>dl>dt {
 
-            font-size: 1.5em;
 
-            font-weight: bold;
 
-        }
 
-        #main>dl>dd {
 
-            font-size: 1.2em;
 
-        }
 
-        a {
 
-            text-decoration: none;
 
-            color: darkcyan;
 
-        }
 
+		/* 此处省略层叠样式表 */
 
     </style>
 
 </head>
 
 <body>
 
@@ -157,7 +143,9 @@ class SubjectMapper(ModelMapper):
 
         <div id="main">
 
             <dl v-for="subject in subjects">
 
                 <dt>
 
-                    <a :href="'/static/html/teachers.html?sno=' + subject.no">{{ subject.name }}</a>
 
+                    <a :href="'/static/html/teachers.html?sno=' + subject.no">
 
+                        {{ subject.name }}
 
+                    </a>
 
                     <img v-if="subject.is_hot" src="/static/images/hot-icon-small.png">
 
                 </dt>
 
                 <dd>{{ subject.intro }}</dd>

+ 7 - 39
Day41-55/49.RESTful架构和DRF入门.md
Tampilan Berkas 

@@ -156,48 +156,14 @@ urlpatterns = [
 
 
 通过Vue.js渲染页面。
 
 
-```Python
 
+```HTML
 
 <!DOCTYPE html>
 
 <html lang="en">
 
 <head>
 
     <meta charset="UTF-8">
 
     <title>老师信息</title>
 
     <style>
 
-        #container {
 
-            width: 80%;
 
-            margin: 10px auto;
 
-        }
 
-        .teacher {
 
-            width: 100%;
 
-            margin: 0 auto;
 
-            padding: 10px 0;
 
-            border-bottom: 1px dashed gray;
 
-            overflow: auto;
 
-        }
 
-        .teacher>div {
 
-            float: left;
 
-        }
 
-        .photo {
 
-            height: 140px;
 
-            border-radius: 75px;
 
-            overflow: hidden;
 
-            margin-left: 20px;
 
-        }
 
-        .info {
 
-            width: 75%;
 
-            margin-left: 30px;
 
-        }
 
-        .info div {
 
-            clear: both;
 
-            margin: 5px 10px;
 
-        }
 
-        .info span {
 
-            margin-right: 25px;
 
-        }
 
-        a {
 
-            text-decoration: none;
 
-            color: darkcyan;
 
-        }
 
+        /* 此处省略掉层叠样式表 */
 
     </style>
 
 </head>
 
 <body>
 
@@ -217,9 +183,11 @@ urlpatterns = [
 
                 </div>
 
                 <div class="intro">{{ teacher.intro }}</div>
 
                 <div class="comment">
 
-                    <a href="" @click.prevent="praise(teacher)">好评</a>&nbsp;&nbsp;(<strong>{{ teacher.good_count }}</strong>)
 
+                    <a href="" @click.prevent="praise(teacher)">好评</a>&nbsp;&nbsp;
 
+                    (<strong>{{ teacher.good_count }}</strong>)
 
                     &nbsp;&nbsp;&nbsp;&nbsp;
 
-                    <a href="" @click.prevent="criticize(teacher)">差评</a>&nbsp;&nbsp;(<strong>{{ teacher.bad_count }}</strong>)
 
+                    <a href="" @click.prevent="criticize(teacher)">差评</a>&nbsp;&nbsp;
 
+                    (<strong>{{ teacher.bad_count }}</strong>)
 
                 </div>
 
             </div>
 
         </div>
 
@@ -355,7 +323,7 @@ JSON Web Token通常简称为JWT，它是一种开放标准（RFC 7519）。随
 
 2. 在令牌过期之前，无法作废已经颁发的令牌，要解决这个问题，还需要额外的中间层和代码来辅助。
 
 3. JWT是用户的身份令牌，一旦泄露，任何人都可以获得该用户的所有权限。为了降低令牌被盗用后产生的风险，JWT的有效期应该设置得比较短。对于一些比较重要的权限，使用时应通过其他方式再次对用户进行认证，例如短信验证码等。
 
 
-#### 使用PyJWT生成和验证令牌
 
+#### 使用PyJWT
 
 
 在Python代码中，可以使用三方库`PyJWT`生成和验证JWT，下面是安装`PyJWT`的命令。

+ 107 - 110
Day76-90/code/.ipynb_checkpoints/1-pandas入门-checkpoint.ipynb
Tampilan Berkas 

@@ -2,7 +2,7 @@
 
  "cells": [
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 2,
 
+   "execution_count": 1,
 
    "metadata": {},
 
    "outputs": [],
 
    "source": [
 
@@ -13,7 +13,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 3,
 
+   "execution_count": 2,
 
    "metadata": {},
 
    "outputs": [],
 
    "source": [
 
@@ -22,14 +22,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": null,
 
-   "metadata": {},
 
-   "outputs": [],
 
-   "source": []
 
-  },
 
-  {
 
-   "cell_type": "code",
 
-   "execution_count": 4,
 
+   "execution_count": 5,
 
    "metadata": {
 
     "scrolled": false
 
    },
 
@@ -44,7 +37,7 @@
 
        "dtype: int64"
 
       ]
 
      },
 
-     "execution_count": 4,
 
+     "execution_count": 5,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -52,13 +45,13 @@
 
    "source": [
 
     "# 创建\n",
 
     "# Series是一维的数据\n",
 
-    "s = Series(data = [120,136,128,99],index = ['Math','Python','En','Chinese'])\n",
 
+    "s = Series(data=[120,136,128,99], index=['Math','Python','En','Chinese'])\n",
 
     "s"
 
    ]
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 5,
 
+   "execution_count": 6,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
@@ -67,7 +60,7 @@
 
        "(4,)"
 
       ]
 
      },
 
-     "execution_count": 5,
 
+     "execution_count": 6,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -78,16 +71,16 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 6,
 
+   "execution_count": 7,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
      "data": {
 
       "text/plain": [
 
-       "array([120, 136, 128,  99], dtype=int64)"
 
+       "array([120, 136, 128,  99])"
 
       ]
 
      },
 
-     "execution_count": 6,
 
+     "execution_count": 7,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -99,7 +92,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 7,
 
+   "execution_count": 8,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
@@ -108,7 +101,7 @@
 
        "numpy.ndarray"
 
       ]
 
      },
 
-     "execution_count": 7,
 
+     "execution_count": 8,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -119,7 +112,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 8,
 
+   "execution_count": 9,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
@@ -128,7 +121,7 @@
 
        "120.75"
 
       ]
 
      },
 
-     "execution_count": 8,
 
+     "execution_count": 9,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -139,7 +132,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 9,
 
+   "execution_count": 10,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
@@ -148,7 +141,7 @@
 
        "136"
 
       ]
 
      },
 
-     "execution_count": 9,
 
+     "execution_count": 10,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -159,7 +152,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 10,
 
+   "execution_count": 11,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
@@ -168,7 +161,7 @@
 
        "15.903353943953666"
 
       ]
 
      },
 
-     "execution_count": 10,
 
+     "execution_count": 11,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -179,36 +172,33 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 11,
 
-   "metadata": {
 
-    "collapsed": true
 
-   },
 
+   "execution_count": 20,
 
+   "metadata": {},
 
    "outputs": [
 
     {
 
      "data": {
 
       "text/plain": [
 
-       "Math       14400\n",
 
-       "Python     18496\n",
 
-       "En         16384\n",
 
-       "Chinese     9801\n",
 
+       "Math       122\n",
 
+       "Python     138\n",
 
+       "En         130\n",
 
+       "Chinese    101\n",
 
        "dtype: int64"
 
       ]
 
      },
 
-     "execution_count": 11,
 
+     "execution_count": 20,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
    ],
 
    "source": [
 
-    "s.pow(2)"
 
+    "s.add(1)\n",
 
+    "s"
 
    ]
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 12,
 
-   "metadata": {
 
-    "collapsed": true
 
-   },
 
+   "execution_count": 21,
 
+   "metadata": {},
 
    "outputs": [
 
     {
 
      "data": {
 
@@ -238,64 +228,64 @@
 
        "  </thead>\n",
 
        "  <tbody>\n",
 
        "    <tr>\n",
 
-       "      <th>a</th>\n",
 
-       "      <td>113</td>\n",
 
-       "      <td>116</td>\n",
 
-       "      <td>75</td>\n",
 
+       "      <td>a</td>\n",
 
+       "      <td>109</td>\n",
 
+       "      <td>120</td>\n",
 
+       "      <td>23</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>b</th>\n",
 
-       "      <td>19</td>\n",
 
-       "      <td>145</td>\n",
 
-       "      <td>23</td>\n",
 
+       "      <td>b</td>\n",
 
+       "      <td>54</td>\n",
 
+       "      <td>39</td>\n",
 
+       "      <td>54</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>c</th>\n",
 
-       "      <td>57</td>\n",
 
-       "      <td>107</td>\n",
 
-       "      <td>113</td>\n",
 
+       "      <td>c</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>106</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>d</th>\n",
 
-       "      <td>95</td>\n",
 
+       "      <td>d</td>\n",
 
+       "      <td>21</td>\n",
 
+       "      <td>96</td>\n",
 
        "      <td>3</td>\n",
 
-       "      <td>66</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>e</th>\n",
 
-       "      <td>28</td>\n",
 
-       "      <td>121</td>\n",
 
-       "      <td>120</td>\n",
 
+       "      <td>e</td>\n",
 
+       "      <td>23</td>\n",
 
+       "      <td>145</td>\n",
 
+       "      <td>147</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>f</th>\n",
 
-       "      <td>141</td>\n",
 
-       "      <td>85</td>\n",
 
-       "      <td>132</td>\n",
 
+       "      <td>f</td>\n",
 
+       "      <td>80</td>\n",
 
+       "      <td>62</td>\n",
 
+       "      <td>83</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>h</th>\n",
 
-       "      <td>124</td>\n",
 
-       "      <td>39</td>\n",
 
-       "      <td>10</td>\n",
 
+       "      <td>h</td>\n",
 
+       "      <td>70</td>\n",
 
+       "      <td>31</td>\n",
 
+       "      <td>134</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>i</th>\n",
 
-       "      <td>80</td>\n",
 
-       "      <td>35</td>\n",
 
-       "      <td>17</td>\n",
 
+       "      <td>i</td>\n",
 
+       "      <td>132</td>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>115</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>j</th>\n",
 
-       "      <td>68</td>\n",
 
-       "      <td>99</td>\n",
 
-       "      <td>31</td>\n",
 
+       "      <td>j</td>\n",
 
+       "      <td>95</td>\n",
 
+       "      <td>143</td>\n",
 
+       "      <td>111</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>k</th>\n",
 
-       "      <td>74</td>\n",
 
-       "      <td>12</td>\n",
 
-       "      <td>11</td>\n",
 
+       "      <td>k</td>\n",
 
+       "      <td>66</td>\n",
 
+       "      <td>94</td>\n",
 
+       "      <td>7</td>\n",
 
        "    </tr>\n",
 
        "  </tbody>\n",
 
        "</table>\n",
 
@@ -303,19 +293,19 @@
 
       ],
 
       "text/plain": [
 
        "   Python   En  Math\n",
 
-       "a     113  116    75\n",
 
-       "b      19  145    23\n",
 
-       "c      57  107   113\n",
 
-       "d      95    3    66\n",
 
-       "e      28  121   120\n",
 
-       "f     141   85   132\n",
 
-       "h     124   39    10\n",
 
-       "i      80   35    17\n",
 
-       "j      68   99    31\n",
 
-       "k      74   12    11"
 
+       "a     109  120    23\n",
 
+       "b      54   39    54\n",
 
+       "c      97   22   106\n",
 
+       "d      21   96     3\n",
 
+       "e      23  145   147\n",
 
+       "f      80   62    83\n",
 
+       "h      70   31   134\n",
 
+       "i     132   51   115\n",
 
+       "j      95  143   111\n",
 
+       "k      66   94     7"
 
       ]
 
      },
 
-     "execution_count": 12,
 
+     "execution_count": 21,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -324,7 +314,7 @@
 
     "# DataFrame是二维的数据\n",
 
     "# excel就非常相似\n",
 
     "# 所有进行数据分析，数据挖掘的工具最基础的结果：行和列，行表示样本，列表示的是属性\n",
 
-    "df = DataFrame(data = np.random.randint(0,150,size = (10,3)),index = list('abcdefhijk'),columns=['Python','En','Math'])\n",
 
+    "df = DataFrame(data=np.random.randint(0, 150, size=(10, 3)), index=list('abcdefhijk'), columns=['Python', 'En', 'Math'])\n",
 
     "df"
 
    ]
 
   },
 
@@ -553,7 +543,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 19,
 
+   "execution_count": 22,
 
    "metadata": {
 
     "scrolled": true
 
    },
 
@@ -561,50 +551,57 @@
 
     {
 
      "data": {
 
       "text/plain": [
 
-       "Python    79.9\n",
 
-       "En        76.2\n",
 
-       "Math      59.8\n",
 
+       "Python    74.7\n",
 
+       "En        80.3\n",
 
+       "Math      78.3\n",
 
        "dtype: float64"
 
       ]
 
      },
 
-     "execution_count": 19,
 
+     "execution_count": 22,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
    ],
 
    "source": [
 
-    "df.mean(axis = 0)"
 
+    "df.mean(axis=0)"
 
    ]
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 20,
 
+   "execution_count": 23,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
      "data": {
 
       "text/plain": [
 
-       "a    101.333333\n",
 
-       "b     62.333333\n",
 
-       "c     92.333333\n",
 
-       "d     54.666667\n",
 
-       "e     89.666667\n",
 
-       "f    119.333333\n",
 
-       "h     57.666667\n",
 
-       "i     44.000000\n",
 
-       "j     66.000000\n",
 
-       "k     32.333333\n",
 
+       "a     84.000000\n",
 
+       "b     49.000000\n",
 
+       "c     75.000000\n",
 
+       "d     40.000000\n",
 
+       "e    105.000000\n",
 
+       "f     75.000000\n",
 
+       "h     78.333333\n",
 
+       "i     99.333333\n",
 
+       "j    116.333333\n",
 
+       "k     55.666667\n",
 
        "dtype: float64"
 
       ]
 
      },
 
-     "execution_count": 20,
 
+     "execution_count": 23,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
    ],
 
    "source": [
 
-    "df.mean(axis = 1)"
 
+    "df.mean(axis=1)"
 
    ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": []
 
   }
 
  ],
 
  "metadata": {
 
@@ -623,7 +620,7 @@
 
    "name": "python",
 
    "nbconvert_exporter": "python",
 
    "pygments_lexer": "ipython3",
 
-   "version": "3.7.3"
 
+   "version": "3.7.7"
 
   }
 
  },
 
  "nbformat": 4,

+ 372 - 0
Day76-90/code/.ipynb_checkpoints/2-pandas-索引-checkpoint.ipynb
Tampilan Berkas 

@@ -0,0 +1,372 @@
 
+{
 
+ "cells": [
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "import numpy as np\n",
 
+    "\n",
 
+    "import pandas as pd\n",
 
+    "\n",
 
+    "from pandas import Series, DataFrame"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s = Series(np.random.randint(0,150,size = 100),index = np.arange(10,110),dtype=np.int16,name = 'Python')\n",
 
+    "s"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s[10]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s[[10,20]]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "# 切片操作\n",
 
+    "s[10:20]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s[::2]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s[::-2]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "# 可以使用pandas为开发者提供方法，去进行检索\n",
 
+    "s.loc[10]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [],
 
+   "source": [
 
+    "s.loc[[10,20]]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s.loc[10:20]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s.loc[::2]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s.loc[::-2]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s.index"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "# iloc 索引从0开始，数字化自然索引\n",
 
+    "s.iloc[0]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s.iloc[[0,10]]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s.iloc[0:20]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "s.iloc[::-2]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "# DataFrame是二维，索引大同小异，\n",
 
+    "df = DataFrame(data = np.random.randint(0,150,size= (10,3)),index=list('ABCDEFHIJK'),columns=['Python','En','Math'])\n",
 
+    "\n",
 
+    "df"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df['A']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df['Python']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df[['Python','En']]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [],
 
+   "source": [
 
+    "df['Python':'Math']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df['A':'D']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df.loc['Python']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [],
 
+   "source": [
 
+    "df.loc['A']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df.loc[['A','H']]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df.loc['A':'E']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df.loc[::2]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df.loc[::-2]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df.iloc['A']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df.iloc[0]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [],
 
+   "source": [
 
+    "df.iloc[[0,5]]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df.iloc[0:5]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [],
 
+   "source": [
 
+    "df.iloc[::-2]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [],
 
+   "source": [
 
+    "df"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df.iloc[::2,1:]"
 
+   ]
 
+  }
 
+ ],
 
+ "metadata": {
 
+  "kernelspec": {
 
+   "display_name": "Python 3",
 
+   "language": "python",
 
+   "name": "python3"
 
+  },
 
+  "language_info": {
 
+   "codemirror_mode": {
 
+    "name": "ipython",
 
+    "version": 3
 
+   },
 
+   "file_extension": ".py",
 
+   "mimetype": "text/x-python",
 
+   "name": "python",
 
+   "nbconvert_exporter": "python",
 
+   "pygments_lexer": "ipython3",
 
+   "version": "3.7.7"
 
+  }
 
+ },
 
+ "nbformat": 4,
 
+ "nbformat_minor": 2
 
+}

+ 5834 - 0
Day76-90/code/.ipynb_checkpoints/3-pandas数据清洗之空数据-checkpoint.ipynb
Tampilan Berkas 

@@ -0,0 +1,5834 @@
 
+{
 
+ "cells": [
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 1,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "import numpy as np\n",
 
+    "\n",
 
+    "import pandas as pd\n",
 
+    "\n",
 
+    "from pandas import Series,DataFrame"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 6,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>55</td>\n",
 
+       "      <td>0</td>\n",
 
+       "      <td>79</td>\n",
 
+       "      <td>129</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>72</td>\n",
 
+       "      <td>82</td>\n",
 
+       "      <td>57</td>\n",
 
+       "      <td>138</td>\n",
 
+       "      <td>111</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <td>102</td>\n",
 
+       "      <td>54</td>\n",
 
+       "      <td>115</td>\n",
 
+       "      <td>81</td>\n",
 
+       "      <td>81</td>\n",
 
+       "      <td>51</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <td>103</td>\n",
 
+       "      <td>13</td>\n",
 
+       "      <td>80</td>\n",
 
+       "      <td>54</td>\n",
 
+       "      <td>129</td>\n",
 
+       "      <td>40</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <td>104</td>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>91</td>\n",
 
+       "      <td>39</td>\n",
 
+       "      <td>34</td>\n",
 
+       "      <td>98</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <td>195</td>\n",
 
+       "      <td>135</td>\n",
 
+       "      <td>104</td>\n",
 
+       "      <td>102</td>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>40</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <td>196</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>72</td>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>39</td>\n",
 
+       "      <td>31</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <td>197</td>\n",
 
+       "      <td>136</td>\n",
 
+       "      <td>26</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>62</td>\n",
 
+       "      <td>81</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <td>198</td>\n",
 
+       "      <td>50</td>\n",
 
+       "      <td>48</td>\n",
 
+       "      <td>103</td>\n",
 
+       "      <td>60</td>\n",
 
+       "      <td>6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <td>199</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>13</td>\n",
 
+       "      <td>91</td>\n",
 
+       "      <td>145</td>\n",
 
+       "      <td>147</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "<p>100 rows × 5 columns</p>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "     Python   En  Math  Physic  Chem\n",
 
+       "100       4   55     0      79   129\n",
 
+       "101      72   82    57     138   111\n",
 
+       "102      54  115    81      81    51\n",
 
+       "103      13   80    54     129    40\n",
 
+       "104     113   91    39      34    98\n",
 
+       "..      ...  ...   ...     ...   ...\n",
 
+       "195     135  104   102      76    40\n",
 
+       "196      75   72    28      39    31\n",
 
+       "197     136   26   123      62    81\n",
 
+       "198      50   48   103      60     6\n",
 
+       "199      77   13    91     145   147\n",
 
+       "\n",
 
+       "[100 rows x 5 columns]"
 
+      ]
 
+     },
 
+     "execution_count": 6,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df = DataFrame(np.random.randint(0,150,size = (100,5)),index = np.arange(100,200),columns=['Python','En','Math','Physic','Chem'])\n",
 
+    "df\n",
 
+    "df[100]['Python']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 3,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python    False\n",
 
+       "En        False\n",
 
+       "Math      False\n",
 
+       "Physic    False\n",
 
+       "Chem      False\n",
 
+       "dtype: bool"
 
+      ]
 
+     },
 
+     "execution_count": 3,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 判断DataFrame是否存在空数据\n",
 
+    "df.isnull().any()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 6,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python    True\n",
 
+       "En        True\n",
 
+       "Math      True\n",
 
+       "Physic    True\n",
 
+       "Chem      True\n",
 
+       "dtype: bool"
 
+      ]
 
+     },
 
+     "execution_count": 6,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.notnull().all()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 12,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "500"
 
+      ]
 
+     },
 
+     "execution_count": 12,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "100*5"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 13,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "for i in range(50):\n",
 
+    "    # 行索引\n",
 
+    "    index = np.random.randint(100,200,size =1)[0]\n",
 
+    "\n",
 
+    "    cols = df.columns\n",
 
+    "\n",
 
+    "    # 列索引\n",
 
+    "    col = np.random.choice(cols)\n",
 
+    "\n",
 
+    "    df.loc[index,col] = None"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 15,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "for i in range(20):\n",
 
+    "    # 行索引\n",
 
+    "    index = np.random.randint(100,200,size =1)[0]\n",
 
+    "\n",
 
+    "    cols = df.columns\n",
 
+    "\n",
 
+    "    # 列索引\n",
 
+    "    col = np.random.choice(cols)\n",
 
+    "\n",
 
+    "#     not a number 不是一个数\n",
 
+    "    df.loc[index,col] = np.NAN"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 16,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>100</th>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>101</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "      <td>114.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>102</th>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>103</th>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>73.0</td>\n",
 
+       "      <td>120.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>1.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>104</th>\n",
 
+       "      <td>126.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>116.0</td>\n",
 
+       "      <td>17.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>105</th>\n",
 
+       "      <td>85.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>42.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>66.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>106</th>\n",
 
+       "      <td>142.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>1.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>83.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>107</th>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>108</th>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>110.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>109</th>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>30.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>110</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>111</th>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>51.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>112</th>\n",
 
+       "      <td>53.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>45.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>113</th>\n",
 
+       "      <td>42.0</td>\n",
 
+       "      <td>148.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>114</th>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>134.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>115</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>116</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>137.0</td>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>20.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>117</th>\n",
 
+       "      <td>148.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>134.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>118</th>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>81.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>119</th>\n",
 
+       "      <td>27.0</td>\n",
 
+       "      <td>111.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>120</th>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>93.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>121</th>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>25.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>19.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>122</th>\n",
 
+       "      <td>111.0</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>12.0</td>\n",
 
+       "      <td>38.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>123</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>103.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>124</th>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>125</th>\n",
 
+       "      <td>7.0</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>108.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>126</th>\n",
 
+       "      <td>88.0</td>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>55.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>127</th>\n",
 
+       "      <td>33.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>106.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>128</th>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>129</th>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>...</th>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>170</th>\n",
 
+       "      <td>144.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>77.0</td>\n",
 
+       "      <td>92.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>171</th>\n",
 
+       "      <td>36.0</td>\n",
 
+       "      <td>98.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>172</th>\n",
 
+       "      <td>51.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>34.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>173</th>\n",
 
+       "      <td>149.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>174</th>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>146.0</td>\n",
 
+       "      <td>112.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>175</th>\n",
 
+       "      <td>115.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>62.0</td>\n",
 
+       "      <td>9.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>176</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>7.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "      <td>45.0</td>\n",
 
+       "      <td>148.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>177</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>178</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>49.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>179</th>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>180</th>\n",
 
+       "      <td>146.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>181</th>\n",
 
+       "      <td>71.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>182</th>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>116.0</td>\n",
 
+       "      <td>110.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>183</th>\n",
 
+       "      <td>55.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>93.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>34.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>184</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>185</th>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>118.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>51.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>186</th>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>12.0</td>\n",
 
+       "      <td>71.0</td>\n",
 
+       "      <td>36.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>187</th>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>188</th>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>189</th>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>132.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>190</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>191</th>\n",
 
+       "      <td>30.0</td>\n",
 
+       "      <td>60.0</td>\n",
 
+       "      <td>98.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>192</th>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>193</th>\n",
 
+       "      <td>104.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>17.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>194</th>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>41.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>195</th>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>41.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>196</th>\n",
 
+       "      <td>58.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>197</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>198</th>\n",
 
+       "      <td>131.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>44.0</td>\n",
 
+       "      <td>114.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>199</th>\n",
 
+       "      <td>79.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>95.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "<p>100 rows × 5 columns</p>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "     Python     En   Math  Physic   Chem\n",
 
+       "100   122.0   10.0    5.0    28.0   57.0\n",
 
+       "101     NaN  129.0   16.0   114.0   26.0\n",
 
+       "102    97.0  121.0  122.0    29.0   65.0\n",
 
+       "103   141.0   73.0  120.0   147.0    1.0\n",
 
+       "104   126.0    NaN   86.0   116.0   17.0\n",
 
+       "105    85.0    NaN   42.0   121.0   66.0\n",
 
+       "106   142.0   65.0    1.0   124.0   83.0\n",
 
+       "107   136.0  141.0    NaN    86.0  113.0\n",
 
+       "108    15.0   37.0  124.0   110.0  102.0\n",
 
+       "109    63.0   30.0    NaN    69.0   58.0\n",
 
+       "110     NaN    NaN  113.0   109.0   16.0\n",
 
+       "111     5.0   51.0   87.0    58.0  126.0\n",
 
+       "112    53.0   97.0   76.0    37.0   45.0\n",
 
+       "113    42.0  148.0    NaN    97.0    NaN\n",
 
+       "114    70.0  138.0   69.0    68.0  134.0\n",
 
+       "115     NaN  136.0  113.0    22.0   94.0\n",
 
+       "116    31.0  137.0    6.0    20.0   28.0\n",
 
+       "117   148.0   74.0  134.0     4.0  124.0\n",
 
+       "118   102.0   81.0  138.0   128.0   32.0\n",
 
+       "119    27.0  111.0   13.0     NaN   22.0\n",
 
+       "120    28.0   93.0  121.0     NaN    4.0\n",
 
+       "121   136.0    NaN   25.0    97.0   19.0\n",
 
+       "122   111.0   70.0   12.0    38.0   58.0\n",
 
+       "123     NaN  103.0  147.0    86.0    8.0\n",
 
+       "124    10.0   10.0   46.0    63.0  149.0\n",
 
+       "125     7.0   75.0   97.0   108.0   31.0\n",
 
+       "126    88.0    6.0    NaN     NaN   55.0\n",
 
+       "127    33.0   74.0  106.0    50.0   46.0\n",
 
+       "128    74.0   28.0   26.0   100.0   76.0\n",
 
+       "129    76.0   18.0  101.0     NaN    NaN\n",
 
+       "..      ...    ...    ...     ...    ...\n",
 
+       "170   144.0  124.0   77.0    92.0   82.0\n",
 
+       "171    36.0   98.0    NaN    43.0   80.0\n",
 
+       "172    51.0    NaN   68.0    34.0   74.0\n",
 
+       "173   149.0    NaN   18.0   141.0    NaN\n",
 
+       "174     8.0  139.0  146.0   112.0    NaN\n",
 
+       "175   115.0    NaN   64.0    62.0    9.0\n",
 
+       "176     NaN    7.0  140.0    45.0  148.0\n",
 
+       "177     NaN   43.0   68.0   109.0   18.0\n",
 
+       "178    31.0  100.0    NaN    49.0  123.0\n",
 
+       "179    29.0   46.0   69.0    57.0   90.0\n",
 
+       "180   146.0   86.0   18.0    22.0   46.0\n",
 
+       "181    71.0   50.0   40.0     NaN  140.0\n",
 
+       "182     4.0  100.0  147.0   116.0  110.0\n",
 
+       "183    55.0   87.0   93.0     NaN   34.0\n",
 
+       "184     NaN  109.0  124.0    87.0   82.0\n",
 
+       "185    10.0  118.0  139.0    50.0   51.0\n",
 
+       "186    32.0   12.0   71.0    36.0    NaN\n",
 
+       "187    94.0    NaN  138.0    13.0  149.0\n",
 
+       "188    65.0  101.0  123.0   128.0   86.0\n",
 
+       "189    43.0   94.0    NaN    29.0  132.0\n",
 
+       "190    68.0  135.0   94.0    28.0  125.0\n",
 
+       "191    30.0   60.0   98.0     NaN   15.0\n",
 
+       "192    89.0   16.0   10.0   135.0    4.0\n",
 
+       "193   104.0  139.0   97.0    29.0   17.0\n",
 
+       "194     5.0   29.0   41.0    99.0    NaN\n",
 
+       "195    19.0  102.0  135.0    41.0   40.0\n",
 
+       "196    58.0    NaN   70.0    82.0   64.0\n",
 
+       "197     NaN   97.0  129.0    76.0   13.0\n",
 
+       "198   131.0   15.0    NaN    44.0  114.0\n",
 
+       "199    79.0    NaN   95.0   128.0    NaN\n",
 
+       "\n",
 
+       "[100 rows x 5 columns]"
 
+      ]
 
+     },
 
+     "execution_count": 16,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 18,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python    True\n",
 
+       "En        True\n",
 
+       "Math      True\n",
 
+       "Physic    True\n",
 
+       "Chem      True\n",
 
+       "dtype: bool"
 
+      ]
 
+     },
 
+     "execution_count": 18,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.isnull().any()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 22,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python    14\n",
 
+       "En        14\n",
 
+       "Math      15\n",
 
+       "Physic    11\n",
 
+       "Chem      13\n",
 
+       "dtype: int64"
 
+      ]
 
+     },
 
+     "execution_count": 22,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.isnull().sum()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 23,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df2 = df.copy()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 24,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
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+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python    14\n",
 
+       "En        14\n",
 
+       "Math      15\n",
 
+       "Physic    11\n",
 
+       "Chem      13\n",
 
+       "dtype: int64"
 
+      ]
 
+     },
 
+     "execution_count": 24,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df2.isnull().sum()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 26,
 
+   "metadata": {
 
+    "collapsed": true
 
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+   "outputs": [
 
+    {
 
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+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
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+       "    <tr>\n",
 
+       "      <th>100</th>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>101</th>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "      <td>114.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>102</th>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>103</th>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>73.0</td>\n",
 
+       "      <td>120.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>1.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>104</th>\n",
 
+       "      <td>126.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>116.0</td>\n",
 
+       "      <td>17.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>105</th>\n",
 
+       "      <td>85.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>42.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>66.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>106</th>\n",
 
+       "      <td>142.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>1.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>83.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>107</th>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>108</th>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>110.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>109</th>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>30.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>110</th>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>111</th>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>51.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>112</th>\n",
 
+       "      <td>53.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>45.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>113</th>\n",
 
+       "      <td>42.0</td>\n",
 
+       "      <td>148.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>114</th>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>134.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>115</th>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>116</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>137.0</td>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>20.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>117</th>\n",
 
+       "      <td>148.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>134.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>118</th>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>81.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>119</th>\n",
 
+       "      <td>27.0</td>\n",
 
+       "      <td>111.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>120</th>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>93.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>121</th>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>25.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>19.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>122</th>\n",
 
+       "      <td>111.0</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>12.0</td>\n",
 
+       "      <td>38.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>123</th>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>103.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>124</th>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>125</th>\n",
 
+       "      <td>7.0</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>108.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>126</th>\n",
 
+       "      <td>88.0</td>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>55.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>127</th>\n",
 
+       "      <td>33.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>106.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>128</th>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>129</th>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>...</th>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>170</th>\n",
 
+       "      <td>144.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>77.0</td>\n",
 
+       "      <td>92.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>171</th>\n",
 
+       "      <td>36.0</td>\n",
 
+       "      <td>98.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>172</th>\n",
 
+       "      <td>51.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>34.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>173</th>\n",
 
+       "      <td>149.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>174</th>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>146.0</td>\n",
 
+       "      <td>112.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>175</th>\n",
 
+       "      <td>115.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>62.0</td>\n",
 
+       "      <td>9.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>176</th>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>7.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "      <td>45.0</td>\n",
 
+       "      <td>148.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>177</th>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>178</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>49.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>179</th>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>180</th>\n",
 
+       "      <td>146.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>181</th>\n",
 
+       "      <td>71.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>182</th>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>116.0</td>\n",
 
+       "      <td>110.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>183</th>\n",
 
+       "      <td>55.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>93.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>34.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>184</th>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>185</th>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>118.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>51.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>186</th>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>12.0</td>\n",
 
+       "      <td>71.0</td>\n",
 
+       "      <td>36.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>187</th>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>188</th>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>189</th>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>132.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>190</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>191</th>\n",
 
+       "      <td>30.0</td>\n",
 
+       "      <td>60.0</td>\n",
 
+       "      <td>98.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>192</th>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>193</th>\n",
 
+       "      <td>104.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>17.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>194</th>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>41.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>195</th>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>41.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>196</th>\n",
 
+       "      <td>58.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>197</th>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>198</th>\n",
 
+       "      <td>131.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>44.0</td>\n",
 
+       "      <td>114.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>199</th>\n",
 
+       "      <td>79.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>95.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "<p>100 rows × 5 columns</p>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "     Python     En   Math  Physic   Chem\n",
 
+       "100   122.0   10.0    5.0    28.0   57.0\n",
 
+       "101   100.0  129.0   16.0   114.0   26.0\n",
 
+       "102    97.0  121.0  122.0    29.0   65.0\n",
 
+       "103   141.0   73.0  120.0   147.0    1.0\n",
 
+       "104   126.0  100.0   86.0   116.0   17.0\n",
 
+       "105    85.0  100.0   42.0   121.0   66.0\n",
 
+       "106   142.0   65.0    1.0   124.0   83.0\n",
 
+       "107   136.0  141.0  100.0    86.0  113.0\n",
 
+       "108    15.0   37.0  124.0   110.0  102.0\n",
 
+       "109    63.0   30.0  100.0    69.0   58.0\n",
 
+       "110   100.0  100.0  113.0   109.0   16.0\n",
 
+       "111     5.0   51.0   87.0    58.0  126.0\n",
 
+       "112    53.0   97.0   76.0    37.0   45.0\n",
 
+       "113    42.0  148.0  100.0    97.0  100.0\n",
 
+       "114    70.0  138.0   69.0    68.0  134.0\n",
 
+       "115   100.0  136.0  113.0    22.0   94.0\n",
 
+       "116    31.0  137.0    6.0    20.0   28.0\n",
 
+       "117   148.0   74.0  134.0     4.0  124.0\n",
 
+       "118   102.0   81.0  138.0   128.0   32.0\n",
 
+       "119    27.0  111.0   13.0   100.0   22.0\n",
 
+       "120    28.0   93.0  121.0   100.0    4.0\n",
 
+       "121   136.0  100.0   25.0    97.0   19.0\n",
 
+       "122   111.0   70.0   12.0    38.0   58.0\n",
 
+       "123   100.0  103.0  147.0    86.0    8.0\n",
 
+       "124    10.0   10.0   46.0    63.0  149.0\n",
 
+       "125     7.0   75.0   97.0   108.0   31.0\n",
 
+       "126    88.0    6.0  100.0   100.0   55.0\n",
 
+       "127    33.0   74.0  106.0    50.0   46.0\n",
 
+       "128    74.0   28.0   26.0   100.0   76.0\n",
 
+       "129    76.0   18.0  101.0   100.0  100.0\n",
 
+       "..      ...    ...    ...     ...    ...\n",
 
+       "170   144.0  124.0   77.0    92.0   82.0\n",
 
+       "171    36.0   98.0  100.0    43.0   80.0\n",
 
+       "172    51.0  100.0   68.0    34.0   74.0\n",
 
+       "173   149.0  100.0   18.0   141.0  100.0\n",
 
+       "174     8.0  139.0  146.0   112.0  100.0\n",
 
+       "175   115.0  100.0   64.0    62.0    9.0\n",
 
+       "176   100.0    7.0  140.0    45.0  148.0\n",
 
+       "177   100.0   43.0   68.0   109.0   18.0\n",
 
+       "178    31.0  100.0  100.0    49.0  123.0\n",
 
+       "179    29.0   46.0   69.0    57.0   90.0\n",
 
+       "180   146.0   86.0   18.0    22.0   46.0\n",
 
+       "181    71.0   50.0   40.0   100.0  140.0\n",
 
+       "182     4.0  100.0  147.0   116.0  110.0\n",
 
+       "183    55.0   87.0   93.0   100.0   34.0\n",
 
+       "184   100.0  109.0  124.0    87.0   82.0\n",
 
+       "185    10.0  118.0  139.0    50.0   51.0\n",
 
+       "186    32.0   12.0   71.0    36.0  100.0\n",
 
+       "187    94.0  100.0  138.0    13.0  149.0\n",
 
+       "188    65.0  101.0  123.0   128.0   86.0\n",
 
+       "189    43.0   94.0  100.0    29.0  132.0\n",
 
+       "190    68.0  135.0   94.0    28.0  125.0\n",
 
+       "191    30.0   60.0   98.0   100.0   15.0\n",
 
+       "192    89.0   16.0   10.0   135.0    4.0\n",
 
+       "193   104.0  139.0   97.0    29.0   17.0\n",
 
+       "194     5.0   29.0   41.0    99.0  100.0\n",
 
+       "195    19.0  102.0  135.0    41.0   40.0\n",
 
+       "196    58.0  100.0   70.0    82.0   64.0\n",
 
+       "197   100.0   97.0  129.0    76.0   13.0\n",
 
+       "198   131.0   15.0  100.0    44.0  114.0\n",
 
+       "199    79.0  100.0   95.0   128.0  100.0\n",
 
+       "\n",
 
+       "[100 rows x 5 columns]"
 
+      ]
 
+     },
 
+     "execution_count": 26,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 固定值填充\n",
 
+    "df2.fillna(value=100)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 27,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python    71.662791\n",
 
+       "En        75.627907\n",
 
+       "Math      77.929412\n",
 
+       "Physic    73.471910\n",
 
+       "Chem      69.080460\n",
 
+       "dtype: float64"
 
+      ]
 
+     },
 
+     "execution_count": 27,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df2.mean()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": []
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 29,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>100</th>\n",
 
+       "      <td>122</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>57</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>101</th>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>129</td>\n",
 
+       "      <td>16</td>\n",
 
+       "      <td>114</td>\n",
 
+       "      <td>26</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>102</th>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>121</td>\n",
 
+       "      <td>122</td>\n",
 
+       "      <td>29</td>\n",
 
+       "      <td>65</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>103</th>\n",
 
+       "      <td>141</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>120</td>\n",
 
+       "      <td>147</td>\n",
 
+       "      <td>1</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>104</th>\n",
 
+       "      <td>126</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>86</td>\n",
 
+       "      <td>116</td>\n",
 
+       "      <td>17</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>105</th>\n",
 
+       "      <td>85</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>42</td>\n",
 
+       "      <td>121</td>\n",
 
+       "      <td>66</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>106</th>\n",
 
+       "      <td>142</td>\n",
 
+       "      <td>65</td>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>124</td>\n",
 
+       "      <td>83</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>107</th>\n",
 
+       "      <td>136</td>\n",
 
+       "      <td>141</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>86</td>\n",
 
+       "      <td>113</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>108</th>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>37</td>\n",
 
+       "      <td>124</td>\n",
 
+       "      <td>110</td>\n",
 
+       "      <td>102</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>109</th>\n",
 
+       "      <td>63</td>\n",
 
+       "      <td>30</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>69</td>\n",
 
+       "      <td>58</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>110</th>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>109</td>\n",
 
+       "      <td>16</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>111</th>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>87</td>\n",
 
+       "      <td>58</td>\n",
 
+       "      <td>126</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>112</th>\n",
 
+       "      <td>53</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>37</td>\n",
 
+       "      <td>45</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>113</th>\n",
 
+       "      <td>42</td>\n",
 
+       "      <td>148</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>69</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>114</th>\n",
 
+       "      <td>70</td>\n",
 
+       "      <td>138</td>\n",
 
+       "      <td>69</td>\n",
 
+       "      <td>68</td>\n",
 
+       "      <td>134</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>115</th>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>136</td>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>94</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>116</th>\n",
 
+       "      <td>31</td>\n",
 
+       "      <td>137</td>\n",
 
+       "      <td>6</td>\n",
 
+       "      <td>20</td>\n",
 
+       "      <td>28</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>117</th>\n",
 
+       "      <td>148</td>\n",
 
+       "      <td>74</td>\n",
 
+       "      <td>134</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>124</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>118</th>\n",
 
+       "      <td>102</td>\n",
 
+       "      <td>81</td>\n",
 
+       "      <td>138</td>\n",
 
+       "      <td>128</td>\n",
 
+       "      <td>32</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>119</th>\n",
 
+       "      <td>27</td>\n",
 
+       "      <td>111</td>\n",
 
+       "      <td>13</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>22</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>120</th>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>93</td>\n",
 
+       "      <td>121</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>4</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>121</th>\n",
 
+       "      <td>136</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>25</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>19</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>122</th>\n",
 
+       "      <td>111</td>\n",
 
+       "      <td>70</td>\n",
 
+       "      <td>12</td>\n",
 
+       "      <td>38</td>\n",
 
+       "      <td>58</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>123</th>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>103</td>\n",
 
+       "      <td>147</td>\n",
 
+       "      <td>86</td>\n",
 
+       "      <td>8</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>124</th>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>63</td>\n",
 
+       "      <td>149</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>125</th>\n",
 
+       "      <td>7</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>108</td>\n",
 
+       "      <td>31</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>126</th>\n",
 
+       "      <td>88</td>\n",
 
+       "      <td>6</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>55</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>127</th>\n",
 
+       "      <td>33</td>\n",
 
+       "      <td>74</td>\n",
 
+       "      <td>106</td>\n",
 
+       "      <td>50</td>\n",
 
+       "      <td>46</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>128</th>\n",
 
+       "      <td>74</td>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>26</td>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>76</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>129</th>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>69</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>...</th>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>170</th>\n",
 
+       "      <td>144</td>\n",
 
+       "      <td>124</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>92</td>\n",
 
+       "      <td>82</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>171</th>\n",
 
+       "      <td>36</td>\n",
 
+       "      <td>98</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>43</td>\n",
 
+       "      <td>80</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>172</th>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>68</td>\n",
 
+       "      <td>34</td>\n",
 
+       "      <td>74</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>173</th>\n",
 
+       "      <td>149</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>141</td>\n",
 
+       "      <td>69</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>174</th>\n",
 
+       "      <td>8</td>\n",
 
+       "      <td>139</td>\n",
 
+       "      <td>146</td>\n",
 
+       "      <td>112</td>\n",
 
+       "      <td>69</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>175</th>\n",
 
+       "      <td>115</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>64</td>\n",
 
+       "      <td>62</td>\n",
 
+       "      <td>9</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>176</th>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>7</td>\n",
 
+       "      <td>140</td>\n",
 
+       "      <td>45</td>\n",
 
+       "      <td>148</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>177</th>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>43</td>\n",
 
+       "      <td>68</td>\n",
 
+       "      <td>109</td>\n",
 
+       "      <td>18</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>178</th>\n",
 
+       "      <td>31</td>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>49</td>\n",
 
+       "      <td>123</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>179</th>\n",
 
+       "      <td>29</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>69</td>\n",
 
+       "      <td>57</td>\n",
 
+       "      <td>90</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>180</th>\n",
 
+       "      <td>146</td>\n",
 
+       "      <td>86</td>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>46</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>181</th>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>50</td>\n",
 
+       "      <td>40</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>140</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>182</th>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>147</td>\n",
 
+       "      <td>116</td>\n",
 
+       "      <td>110</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>183</th>\n",
 
+       "      <td>55</td>\n",
 
+       "      <td>87</td>\n",
 
+       "      <td>93</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>34</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>184</th>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>109</td>\n",
 
+       "      <td>124</td>\n",
 
+       "      <td>87</td>\n",
 
+       "      <td>82</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>185</th>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>118</td>\n",
 
+       "      <td>139</td>\n",
 
+       "      <td>50</td>\n",
 
+       "      <td>51</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>186</th>\n",
 
+       "      <td>32</td>\n",
 
+       "      <td>12</td>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>36</td>\n",
 
+       "      <td>69</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>187</th>\n",
 
+       "      <td>94</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>138</td>\n",
 
+       "      <td>13</td>\n",
 
+       "      <td>149</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>188</th>\n",
 
+       "      <td>65</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>128</td>\n",
 
+       "      <td>86</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>189</th>\n",
 
+       "      <td>43</td>\n",
 
+       "      <td>94</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>29</td>\n",
 
+       "      <td>132</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>190</th>\n",
 
+       "      <td>68</td>\n",
 
+       "      <td>135</td>\n",
 
+       "      <td>94</td>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>125</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>191</th>\n",
 
+       "      <td>30</td>\n",
 
+       "      <td>60</td>\n",
 
+       "      <td>98</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>15</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>192</th>\n",
 
+       "      <td>89</td>\n",
 
+       "      <td>16</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>135</td>\n",
 
+       "      <td>4</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>193</th>\n",
 
+       "      <td>104</td>\n",
 
+       "      <td>139</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>29</td>\n",
 
+       "      <td>17</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>194</th>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>29</td>\n",
 
+       "      <td>41</td>\n",
 
+       "      <td>99</td>\n",
 
+       "      <td>69</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>195</th>\n",
 
+       "      <td>19</td>\n",
 
+       "      <td>102</td>\n",
 
+       "      <td>135</td>\n",
 
+       "      <td>41</td>\n",
 
+       "      <td>40</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>196</th>\n",
 
+       "      <td>58</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>70</td>\n",
 
+       "      <td>82</td>\n",
 
+       "      <td>64</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>197</th>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>129</td>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>13</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>198</th>\n",
 
+       "      <td>131</td>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>44</td>\n",
 
+       "      <td>114</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>199</th>\n",
 
+       "      <td>79</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>95</td>\n",
 
+       "      <td>128</td>\n",
 
+       "      <td>69</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "<p>100 rows × 5 columns</p>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "     Python   En  Math  Physic  Chem\n",
 
+       "100     122   10     5      28    57\n",
 
+       "101      71  129    16     114    26\n",
 
+       "102      97  121   122      29    65\n",
 
+       "103     141   73   120     147     1\n",
 
+       "104     126   75    86     116    17\n",
 
+       "105      85   75    42     121    66\n",
 
+       "106     142   65     1     124    83\n",
 
+       "107     136  141    77      86   113\n",
 
+       "108      15   37   124     110   102\n",
 
+       "109      63   30    77      69    58\n",
 
+       "110      71   75   113     109    16\n",
 
+       "111       5   51    87      58   126\n",
 
+       "112      53   97    76      37    45\n",
 
+       "113      42  148    77      97    69\n",
 
+       "114      70  138    69      68   134\n",
 
+       "115      71  136   113      22    94\n",
 
+       "116      31  137     6      20    28\n",
 
+       "117     148   74   134       4   124\n",
 
+       "118     102   81   138     128    32\n",
 
+       "119      27  111    13      73    22\n",
 
+       "120      28   93   121      73     4\n",
 
+       "121     136   75    25      97    19\n",
 
+       "122     111   70    12      38    58\n",
 
+       "123      71  103   147      86     8\n",
 
+       "124      10   10    46      63   149\n",
 
+       "125       7   75    97     108    31\n",
 
+       "126      88    6    77      73    55\n",
 
+       "127      33   74   106      50    46\n",
 
+       "128      74   28    26     100    76\n",
 
+       "129      76   18   101      73    69\n",
 
+       "..      ...  ...   ...     ...   ...\n",
 
+       "170     144  124    77      92    82\n",
 
+       "171      36   98    77      43    80\n",
 
+       "172      51   75    68      34    74\n",
 
+       "173     149   75    18     141    69\n",
 
+       "174       8  139   146     112    69\n",
 
+       "175     115   75    64      62     9\n",
 
+       "176      71    7   140      45   148\n",
 
+       "177      71   43    68     109    18\n",
 
+       "178      31  100    77      49   123\n",
 
+       "179      29   46    69      57    90\n",
 
+       "180     146   86    18      22    46\n",
 
+       "181      71   50    40      73   140\n",
 
+       "182       4  100   147     116   110\n",
 
+       "183      55   87    93      73    34\n",
 
+       "184      71  109   124      87    82\n",
 
+       "185      10  118   139      50    51\n",
 
+       "186      32   12    71      36    69\n",
 
+       "187      94   75   138      13   149\n",
 
+       "188      65  101   123     128    86\n",
 
+       "189      43   94    77      29   132\n",
 
+       "190      68  135    94      28   125\n",
 
+       "191      30   60    98      73    15\n",
 
+       "192      89   16    10     135     4\n",
 
+       "193     104  139    97      29    17\n",
 
+       "194       5   29    41      99    69\n",
 
+       "195      19  102   135      41    40\n",
 
+       "196      58   75    70      82    64\n",
 
+       "197      71   97   129      76    13\n",
 
+       "198     131   15    77      44   114\n",
 
+       "199      79   75    95     128    69\n",
 
+       "\n",
 
+       "[100 rows x 5 columns]"
 
+      ]
 
+     },
 
+     "execution_count": 29,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 均值\n",
 
+    "df3 = df2.fillna(value=df2.mean())\n",
 
+    "df3.astype(np.int16)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 31,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "array([ 6, 18,  1, 17, 19,  5, 17, 16, 13,  3])"
 
+      ]
 
+     },
 
+     "execution_count": 31,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "nd = np.random.randint(0,20,size = 10)\n",
 
+    "nd"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 33,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "array([ 1,  3,  5,  6, 13, 16, 17, 17, 18, 19])"
 
+      ]
 
+     },
 
+     "execution_count": 33,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "nd.sort()\n",
 
+    "nd"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 34,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "14.5"
 
+      ]
 
+     },
 
+     "execution_count": 34,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "(13 + 16)/2"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 35,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "14.5"
 
+      ]
 
+     },
 
+     "execution_count": 35,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "np.median(nd)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 36,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>100</th>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>101</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "      <td>114.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>102</th>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>103</th>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>73.0</td>\n",
 
+       "      <td>120.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>1.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>104</th>\n",
 
+       "      <td>126.0</td>\n",
 
+       "      <td>82.5</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>116.0</td>\n",
 
+       "      <td>17.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>105</th>\n",
 
+       "      <td>85.0</td>\n",
 
+       "      <td>82.5</td>\n",
 
+       "      <td>42.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>66.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>106</th>\n",
 
+       "      <td>142.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>1.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>83.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>107</th>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>108</th>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>110.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>109</th>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>30.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>110</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>82.5</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>111</th>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>51.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>112</th>\n",
 
+       "      <td>53.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>45.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>113</th>\n",
 
+       "      <td>42.0</td>\n",
 
+       "      <td>148.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>114</th>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>134.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>115</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>116</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>137.0</td>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>20.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>117</th>\n",
 
+       "      <td>148.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>134.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>118</th>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>81.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>119</th>\n",
 
+       "      <td>27.0</td>\n",
 
+       "      <td>111.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>120</th>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>93.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>121</th>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>82.5</td>\n",
 
+       "      <td>25.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>19.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>122</th>\n",
 
+       "      <td>111.0</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>12.0</td>\n",
 
+       "      <td>38.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>123</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>103.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>124</th>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>125</th>\n",
 
+       "      <td>7.0</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>108.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>126</th>\n",
 
+       "      <td>88.0</td>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>55.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>127</th>\n",
 
+       "      <td>33.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>106.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>128</th>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>129</th>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>...</th>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>170</th>\n",
 
+       "      <td>144.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>77.0</td>\n",
 
+       "      <td>92.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>171</th>\n",
 
+       "      <td>36.0</td>\n",
 
+       "      <td>98.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>172</th>\n",
 
+       "      <td>51.0</td>\n",
 
+       "      <td>82.5</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>34.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>173</th>\n",
 
+       "      <td>149.0</td>\n",
 
+       "      <td>82.5</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>174</th>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>146.0</td>\n",
 
+       "      <td>112.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>175</th>\n",
 
+       "      <td>115.0</td>\n",
 
+       "      <td>82.5</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>62.0</td>\n",
 
+       "      <td>9.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>176</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>7.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "      <td>45.0</td>\n",
 
+       "      <td>148.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>177</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>178</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>49.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>179</th>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>180</th>\n",
 
+       "      <td>146.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>181</th>\n",
 
+       "      <td>71.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>182</th>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>116.0</td>\n",
 
+       "      <td>110.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>183</th>\n",
 
+       "      <td>55.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>93.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>34.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>184</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>185</th>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>118.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>51.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>186</th>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>12.0</td>\n",
 
+       "      <td>71.0</td>\n",
 
+       "      <td>36.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>187</th>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>82.5</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>188</th>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>189</th>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>132.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>190</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>191</th>\n",
 
+       "      <td>30.0</td>\n",
 
+       "      <td>60.0</td>\n",
 
+       "      <td>98.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>192</th>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>193</th>\n",
 
+       "      <td>104.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>17.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>194</th>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>41.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>195</th>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>41.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>196</th>\n",
 
+       "      <td>58.0</td>\n",
 
+       "      <td>82.5</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>197</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>198</th>\n",
 
+       "      <td>131.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>44.0</td>\n",
 
+       "      <td>114.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>199</th>\n",
 
+       "      <td>79.0</td>\n",
 
+       "      <td>82.5</td>\n",
 
+       "      <td>95.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "<p>100 rows × 5 columns</p>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "     Python     En   Math  Physic   Chem\n",
 
+       "100   122.0   10.0    5.0    28.0   57.0\n",
 
+       "101    68.0  129.0   16.0   114.0   26.0\n",
 
+       "102    97.0  121.0  122.0    29.0   65.0\n",
 
+       "103   141.0   73.0  120.0   147.0    1.0\n",
 
+       "104   126.0   82.5   86.0   116.0   17.0\n",
 
+       "105    85.0   82.5   42.0   121.0   66.0\n",
 
+       "106   142.0   65.0    1.0   124.0   83.0\n",
 
+       "107   136.0  141.0   86.0    86.0  113.0\n",
 
+       "108    15.0   37.0  124.0   110.0  102.0\n",
 
+       "109    63.0   30.0   86.0    69.0   58.0\n",
 
+       "110    68.0   82.5  113.0   109.0   16.0\n",
 
+       "111     5.0   51.0   87.0    58.0  126.0\n",
 
+       "112    53.0   97.0   76.0    37.0   45.0\n",
 
+       "113    42.0  148.0   86.0    97.0   65.0\n",
 
+       "114    70.0  138.0   69.0    68.0  134.0\n",
 
+       "115    68.0  136.0  113.0    22.0   94.0\n",
 
+       "116    31.0  137.0    6.0    20.0   28.0\n",
 
+       "117   148.0   74.0  134.0     4.0  124.0\n",
 
+       "118   102.0   81.0  138.0   128.0   32.0\n",
 
+       "119    27.0  111.0   13.0    69.0   22.0\n",
 
+       "120    28.0   93.0  121.0    69.0    4.0\n",
 
+       "121   136.0   82.5   25.0    97.0   19.0\n",
 
+       "122   111.0   70.0   12.0    38.0   58.0\n",
 
+       "123    68.0  103.0  147.0    86.0    8.0\n",
 
+       "124    10.0   10.0   46.0    63.0  149.0\n",
 
+       "125     7.0   75.0   97.0   108.0   31.0\n",
 
+       "126    88.0    6.0   86.0    69.0   55.0\n",
 
+       "127    33.0   74.0  106.0    50.0   46.0\n",
 
+       "128    74.0   28.0   26.0   100.0   76.0\n",
 
+       "129    76.0   18.0  101.0    69.0   65.0\n",
 
+       "..      ...    ...    ...     ...    ...\n",
 
+       "170   144.0  124.0   77.0    92.0   82.0\n",
 
+       "171    36.0   98.0   86.0    43.0   80.0\n",
 
+       "172    51.0   82.5   68.0    34.0   74.0\n",
 
+       "173   149.0   82.5   18.0   141.0   65.0\n",
 
+       "174     8.0  139.0  146.0   112.0   65.0\n",
 
+       "175   115.0   82.5   64.0    62.0    9.0\n",
 
+       "176    68.0    7.0  140.0    45.0  148.0\n",
 
+       "177    68.0   43.0   68.0   109.0   18.0\n",
 
+       "178    31.0  100.0   86.0    49.0  123.0\n",
 
+       "179    29.0   46.0   69.0    57.0   90.0\n",
 
+       "180   146.0   86.0   18.0    22.0   46.0\n",
 
+       "181    71.0   50.0   40.0    69.0  140.0\n",
 
+       "182     4.0  100.0  147.0   116.0  110.0\n",
 
+       "183    55.0   87.0   93.0    69.0   34.0\n",
 
+       "184    68.0  109.0  124.0    87.0   82.0\n",
 
+       "185    10.0  118.0  139.0    50.0   51.0\n",
 
+       "186    32.0   12.0   71.0    36.0   65.0\n",
 
+       "187    94.0   82.5  138.0    13.0  149.0\n",
 
+       "188    65.0  101.0  123.0   128.0   86.0\n",
 
+       "189    43.0   94.0   86.0    29.0  132.0\n",
 
+       "190    68.0  135.0   94.0    28.0  125.0\n",
 
+       "191    30.0   60.0   98.0    69.0   15.0\n",
 
+       "192    89.0   16.0   10.0   135.0    4.0\n",
 
+       "193   104.0  139.0   97.0    29.0   17.0\n",
 
+       "194     5.0   29.0   41.0    99.0   65.0\n",
 
+       "195    19.0  102.0  135.0    41.0   40.0\n",
 
+       "196    58.0   82.5   70.0    82.0   64.0\n",
 
+       "197    68.0   97.0  129.0    76.0   13.0\n",
 
+       "198   131.0   15.0   86.0    44.0  114.0\n",
 
+       "199    79.0   82.5   95.0   128.0   65.0\n",
 
+       "\n",
 
+       "[100 rows x 5 columns]"
 
+      ]
 
+     },
 
+     "execution_count": 36,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 中位数填充\n",
 
+    "df2.median()\n",
 
+    "df4 = df2.fillna(df2.median())\n",
 
+    "df4"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 37,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>100</th>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>101</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "      <td>114.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>102</th>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>103</th>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>73.0</td>\n",
 
+       "      <td>120.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>1.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>104</th>\n",
 
+       "      <td>126.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>116.0</td>\n",
 
+       "      <td>17.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>105</th>\n",
 
+       "      <td>85.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>42.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>66.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>106</th>\n",
 
+       "      <td>142.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>1.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>83.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>107</th>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>108</th>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>110.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>109</th>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>30.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>110</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>111</th>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>51.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>112</th>\n",
 
+       "      <td>53.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>45.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>113</th>\n",
 
+       "      <td>42.0</td>\n",
 
+       "      <td>148.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>114</th>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>134.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>115</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>116</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>137.0</td>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>20.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>117</th>\n",
 
+       "      <td>148.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>134.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>118</th>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>81.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>119</th>\n",
 
+       "      <td>27.0</td>\n",
 
+       "      <td>111.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>120</th>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>93.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>121</th>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>25.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>19.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>122</th>\n",
 
+       "      <td>111.0</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>12.0</td>\n",
 
+       "      <td>38.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>123</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>103.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>124</th>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>125</th>\n",
 
+       "      <td>7.0</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>108.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>126</th>\n",
 
+       "      <td>88.0</td>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>55.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>127</th>\n",
 
+       "      <td>33.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>106.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>128</th>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>129</th>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>...</th>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>170</th>\n",
 
+       "      <td>144.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>77.0</td>\n",
 
+       "      <td>92.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>171</th>\n",
 
+       "      <td>36.0</td>\n",
 
+       "      <td>98.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>172</th>\n",
 
+       "      <td>51.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>34.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>173</th>\n",
 
+       "      <td>149.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>141.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>174</th>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>146.0</td>\n",
 
+       "      <td>112.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>175</th>\n",
 
+       "      <td>115.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>62.0</td>\n",
 
+       "      <td>9.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>176</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>7.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "      <td>45.0</td>\n",
 
+       "      <td>148.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>177</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>178</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>49.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>179</th>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>180</th>\n",
 
+       "      <td>146.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>181</th>\n",
 
+       "      <td>71.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>182</th>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>116.0</td>\n",
 
+       "      <td>110.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>183</th>\n",
 
+       "      <td>55.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>93.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>34.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>184</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>185</th>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>118.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>51.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>186</th>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>12.0</td>\n",
 
+       "      <td>71.0</td>\n",
 
+       "      <td>36.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>187</th>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>188</th>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>189</th>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>132.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>190</th>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>94.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>191</th>\n",
 
+       "      <td>30.0</td>\n",
 
+       "      <td>60.0</td>\n",
 
+       "      <td>98.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>192</th>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>193</th>\n",
 
+       "      <td>104.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>17.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>194</th>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>41.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>195</th>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>41.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>196</th>\n",
 
+       "      <td>58.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>197</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>198</th>\n",
 
+       "      <td>131.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>44.0</td>\n",
 
+       "      <td>114.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>199</th>\n",
 
+       "      <td>79.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>95.0</td>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "<p>100 rows × 5 columns</p>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "     Python     En   Math  Physic   Chem\n",
 
+       "100   122.0   10.0    5.0    28.0   57.0\n",
 
+       "101     NaN  129.0   16.0   114.0   26.0\n",
 
+       "102    97.0  121.0  122.0    29.0   65.0\n",
 
+       "103   141.0   73.0  120.0   147.0    1.0\n",
 
+       "104   126.0    NaN   86.0   116.0   17.0\n",
 
+       "105    85.0    NaN   42.0   121.0   66.0\n",
 
+       "106   142.0   65.0    1.0   124.0   83.0\n",
 
+       "107   136.0  141.0    NaN    86.0  113.0\n",
 
+       "108    15.0   37.0  124.0   110.0  102.0\n",
 
+       "109    63.0   30.0    NaN    69.0   58.0\n",
 
+       "110     NaN    NaN  113.0   109.0   16.0\n",
 
+       "111     5.0   51.0   87.0    58.0  126.0\n",
 
+       "112    53.0   97.0   76.0    37.0   45.0\n",
 
+       "113    42.0  148.0    NaN    97.0    NaN\n",
 
+       "114    70.0  138.0   69.0    68.0  134.0\n",
 
+       "115     NaN  136.0  113.0    22.0   94.0\n",
 
+       "116    31.0  137.0    6.0    20.0   28.0\n",
 
+       "117   148.0   74.0  134.0     4.0  124.0\n",
 
+       "118   102.0   81.0  138.0   128.0   32.0\n",
 
+       "119    27.0  111.0   13.0     NaN   22.0\n",
 
+       "120    28.0   93.0  121.0     NaN    4.0\n",
 
+       "121   136.0    NaN   25.0    97.0   19.0\n",
 
+       "122   111.0   70.0   12.0    38.0   58.0\n",
 
+       "123     NaN  103.0  147.0    86.0    8.0\n",
 
+       "124    10.0   10.0   46.0    63.0  149.0\n",
 
+       "125     7.0   75.0   97.0   108.0   31.0\n",
 
+       "126    88.0    6.0    NaN     NaN   55.0\n",
 
+       "127    33.0   74.0  106.0    50.0   46.0\n",
 
+       "128    74.0   28.0   26.0   100.0   76.0\n",
 
+       "129    76.0   18.0  101.0     NaN    NaN\n",
 
+       "..      ...    ...    ...     ...    ...\n",
 
+       "170   144.0  124.0   77.0    92.0   82.0\n",
 
+       "171    36.0   98.0    NaN    43.0   80.0\n",
 
+       "172    51.0    NaN   68.0    34.0   74.0\n",
 
+       "173   149.0    NaN   18.0   141.0    NaN\n",
 
+       "174     8.0  139.0  146.0   112.0    NaN\n",
 
+       "175   115.0    NaN   64.0    62.0    9.0\n",
 
+       "176     NaN    7.0  140.0    45.0  148.0\n",
 
+       "177     NaN   43.0   68.0   109.0   18.0\n",
 
+       "178    31.0  100.0    NaN    49.0  123.0\n",
 
+       "179    29.0   46.0   69.0    57.0   90.0\n",
 
+       "180   146.0   86.0   18.0    22.0   46.0\n",
 
+       "181    71.0   50.0   40.0     NaN  140.0\n",
 
+       "182     4.0  100.0  147.0   116.0  110.0\n",
 
+       "183    55.0   87.0   93.0     NaN   34.0\n",
 
+       "184     NaN  109.0  124.0    87.0   82.0\n",
 
+       "185    10.0  118.0  139.0    50.0   51.0\n",
 
+       "186    32.0   12.0   71.0    36.0    NaN\n",
 
+       "187    94.0    NaN  138.0    13.0  149.0\n",
 
+       "188    65.0  101.0  123.0   128.0   86.0\n",
 
+       "189    43.0   94.0    NaN    29.0  132.0\n",
 
+       "190    68.0  135.0   94.0    28.0  125.0\n",
 
+       "191    30.0   60.0   98.0     NaN   15.0\n",
 
+       "192    89.0   16.0   10.0   135.0    4.0\n",
 
+       "193   104.0  139.0   97.0    29.0   17.0\n",
 
+       "194     5.0   29.0   41.0    99.0    NaN\n",
 
+       "195    19.0  102.0  135.0    41.0   40.0\n",
 
+       "196    58.0    NaN   70.0    82.0   64.0\n",
 
+       "197     NaN   97.0  129.0    76.0   13.0\n",
 
+       "198   131.0   15.0    NaN    44.0  114.0\n",
 
+       "199    79.0    NaN   95.0   128.0    NaN\n",
 
+       "\n",
 
+       "[100 rows x 5 columns]"
 
+      ]
 
+     },
 
+     "execution_count": 37,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 众数填充，数量最多的那个数\n",
 
+    "df2"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 42,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
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+       "    <tr>\n",
 
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+       "      <td>82</td>\n",
 
+       "      <td>89</td>\n",
 
+       "      <td>99</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>125</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>101</th>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>31</td>\n",
 
+       "      <td>109</td>\n",
 
+       "      <td>32</td>\n",
 
+       "      <td>5</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>102</th>\n",
 
+       "      <td>56</td>\n",
 
+       "      <td>103</td>\n",
 
+       "      <td>56</td>\n",
 
+       "      <td>61</td>\n",
 
+       "      <td>90</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>103</th>\n",
 
+       "      <td>47</td>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>147</td>\n",
 
+       "      <td>138</td>\n",
 
+       "      <td>99</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>104</th>\n",
 
+       "      <td>38</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>82</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>44</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>105</th>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>11</td>\n",
 
+       "      <td>122</td>\n",
 
+       "      <td>3</td>\n",
 
+       "      <td>126</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>106</th>\n",
 
+       "      <td>56</td>\n",
 
+       "      <td>26</td>\n",
 
+       "      <td>106</td>\n",
 
+       "      <td>14</td>\n",
 
+       "      <td>139</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>107</th>\n",
 
+       "      <td>3</td>\n",
 
+       "      <td>137</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>67</td>\n",
 
+       "      <td>144</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>108</th>\n",
 
+       "      <td>35</td>\n",
 
+       "      <td>47</td>\n",
 
+       "      <td>102</td>\n",
 
+       "      <td>60</td>\n",
 
+       "      <td>63</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>109</th>\n",
 
+       "      <td>86</td>\n",
 
+       "      <td>126</td>\n",
 
+       "      <td>57</td>\n",
 
+       "      <td>88</td>\n",
 
+       "      <td>149</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>110</th>\n",
 
+       "      <td>19</td>\n",
 
+       "      <td>140</td>\n",
 
+       "      <td>30</td>\n",
 
+       "      <td>35</td>\n",
 
+       "      <td>33</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>111</th>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>11</td>\n",
 
+       "      <td>33</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>112</th>\n",
 
+       "      <td>31</td>\n",
 
+       "      <td>54</td>\n",
 
+       "      <td>91</td>\n",
 
+       "      <td>119</td>\n",
 
+       "      <td>69</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>113</th>\n",
 
+       "      <td>64</td>\n",
 
+       "      <td>37</td>\n",
 
+       "      <td>50</td>\n",
 
+       "      <td>23</td>\n",
 
+       "      <td>21</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>114</th>\n",
 
+       "      <td>72</td>\n",
 
+       "      <td>57</td>\n",
 
+       "      <td>138</td>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>21</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>115</th>\n",
 
+       "      <td>55</td>\n",
 
+       "      <td>120</td>\n",
 
+       "      <td>104</td>\n",
 
+       "      <td>32</td>\n",
 
+       "      <td>25</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>116</th>\n",
 
+       "      <td>96</td>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>89</td>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>146</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>117</th>\n",
 
+       "      <td>63</td>\n",
 
+       "      <td>0</td>\n",
 
+       "      <td>8</td>\n",
 
+       "      <td>64</td>\n",
 
+       "      <td>89</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>118</th>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>125</td>\n",
 
+       "      <td>82</td>\n",
 
+       "      <td>74</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>119</th>\n",
 
+       "      <td>85</td>\n",
 
+       "      <td>39</td>\n",
 
+       "      <td>70</td>\n",
 
+       "      <td>132</td>\n",
 
+       "      <td>111</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>120</th>\n",
 
+       "      <td>109</td>\n",
 
+       "      <td>90</td>\n",
 
+       "      <td>44</td>\n",
 
+       "      <td>74</td>\n",
 
+       "      <td>39</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>121</th>\n",
 
+       "      <td>2</td>\n",
 
+       "      <td>148</td>\n",
 
+       "      <td>103</td>\n",
 
+       "      <td>114</td>\n",
 
+       "      <td>65</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>122</th>\n",
 
+       "      <td>110</td>\n",
 
+       "      <td>29</td>\n",
 
+       "      <td>99</td>\n",
 
+       "      <td>80</td>\n",
 
+       "      <td>57</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>123</th>\n",
 
+       "      <td>109</td>\n",
 
+       "      <td>88</td>\n",
 
+       "      <td>81</td>\n",
 
+       "      <td>135</td>\n",
 
+       "      <td>71</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>124</th>\n",
 
+       "      <td>70</td>\n",
 
+       "      <td>103</td>\n",
 
+       "      <td>134</td>\n",
 
+       "      <td>121</td>\n",
 
+       "      <td>121</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>125</th>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>92</td>\n",
 
+       "      <td>117</td>\n",
 
+       "      <td>27</td>\n",
 
+       "      <td>43</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>126</th>\n",
 
+       "      <td>6</td>\n",
 
+       "      <td>92</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>59</td>\n",
 
+       "      <td>105</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>127</th>\n",
 
+       "      <td>65</td>\n",
 
+       "      <td>90</td>\n",
 
+       "      <td>52</td>\n",
 
+       "      <td>148</td>\n",
 
+       "      <td>22</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>128</th>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>129</td>\n",
 
+       "      <td>17</td>\n",
 
+       "      <td>119</td>\n",
 
+       "      <td>13</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>129</th>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>107</td>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>139</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>...</th>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2070</th>\n",
 
+       "      <td>127</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>16</td>\n",
 
+       "      <td>31</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2071</th>\n",
 
+       "      <td>93</td>\n",
 
+       "      <td>61</td>\n",
 
+       "      <td>9</td>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>22</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2072</th>\n",
 
+       "      <td>116</td>\n",
 
+       "      <td>61</td>\n",
 
+       "      <td>54</td>\n",
 
+       "      <td>8</td>\n",
 
+       "      <td>61</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2073</th>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>72</td>\n",
 
+       "      <td>140</td>\n",
 
+       "      <td>112</td>\n",
 
+       "      <td>34</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2074</th>\n",
 
+       "      <td>26</td>\n",
 
+       "      <td>108</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>32</td>\n",
 
+       "      <td>33</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2075</th>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>130</td>\n",
 
+       "      <td>135</td>\n",
 
+       "      <td>124</td>\n",
 
+       "      <td>113</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2076</th>\n",
 
+       "      <td>33</td>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>136</td>\n",
 
+       "      <td>38</td>\n",
 
+       "      <td>20</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2077</th>\n",
 
+       "      <td>107</td>\n",
 
+       "      <td>11</td>\n",
 
+       "      <td>129</td>\n",
 
+       "      <td>54</td>\n",
 
+       "      <td>119</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2078</th>\n",
 
+       "      <td>84</td>\n",
 
+       "      <td>55</td>\n",
 
+       "      <td>129</td>\n",
 
+       "      <td>37</td>\n",
 
+       "      <td>87</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2079</th>\n",
 
+       "      <td>95</td>\n",
 
+       "      <td>50</td>\n",
 
+       "      <td>45</td>\n",
 
+       "      <td>19</td>\n",
 
+       "      <td>84</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2080</th>\n",
 
+       "      <td>124</td>\n",
 
+       "      <td>74</td>\n",
 
+       "      <td>65</td>\n",
 
+       "      <td>140</td>\n",
 
+       "      <td>53</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2081</th>\n",
 
+       "      <td>26</td>\n",
 
+       "      <td>35</td>\n",
 
+       "      <td>149</td>\n",
 
+       "      <td>145</td>\n",
 
+       "      <td>127</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2082</th>\n",
 
+       "      <td>19</td>\n",
 
+       "      <td>21</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>3</td>\n",
 
+       "      <td>89</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2083</th>\n",
 
+       "      <td>84</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>131</td>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>4</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2084</th>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>74</td>\n",
 
+       "      <td>105</td>\n",
 
+       "      <td>68</td>\n",
 
+       "      <td>89</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2085</th>\n",
 
+       "      <td>23</td>\n",
 
+       "      <td>93</td>\n",
 
+       "      <td>84</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>88</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2086</th>\n",
 
+       "      <td>86</td>\n",
 
+       "      <td>133</td>\n",
 
+       "      <td>26</td>\n",
 
+       "      <td>125</td>\n",
 
+       "      <td>13</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2087</th>\n",
 
+       "      <td>21</td>\n",
 
+       "      <td>124</td>\n",
 
+       "      <td>40</td>\n",
 
+       "      <td>115</td>\n",
 
+       "      <td>5</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2088</th>\n",
 
+       "      <td>20</td>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>35</td>\n",
 
+       "      <td>31</td>\n",
 
+       "      <td>37</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2089</th>\n",
 
+       "      <td>96</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>64</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2090</th>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>43</td>\n",
 
+       "      <td>92</td>\n",
 
+       "      <td>78</td>\n",
 
+       "      <td>60</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2091</th>\n",
 
+       "      <td>16</td>\n",
 
+       "      <td>31</td>\n",
 
+       "      <td>17</td>\n",
 
+       "      <td>60</td>\n",
 
+       "      <td>58</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2092</th>\n",
 
+       "      <td>65</td>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>13</td>\n",
 
+       "      <td>13</td>\n",
 
+       "      <td>34</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2093</th>\n",
 
+       "      <td>69</td>\n",
 
+       "      <td>49</td>\n",
 
+       "      <td>109</td>\n",
 
+       "      <td>40</td>\n",
 
+       "      <td>58</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2094</th>\n",
 
+       "      <td>128</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>82</td>\n",
 
+       "      <td>111</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2095</th>\n",
 
+       "      <td>26</td>\n",
 
+       "      <td>59</td>\n",
 
+       "      <td>8</td>\n",
 
+       "      <td>54</td>\n",
 
+       "      <td>149</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2096</th>\n",
 
+       "      <td>111</td>\n",
 
+       "      <td>47</td>\n",
 
+       "      <td>90</td>\n",
 
+       "      <td>92</td>\n",
 
+       "      <td>66</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2097</th>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>140</td>\n",
 
+       "      <td>104</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2098</th>\n",
 
+       "      <td>102</td>\n",
 
+       "      <td>6</td>\n",
 
+       "      <td>7</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>119</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2099</th>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>19</td>\n",
 
+       "      <td>77</td>\n",
 
+       "      <td>143</td>\n",
 
+       "      <td>48</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "<p>2000 rows × 5 columns</p>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "      Python   En  Math  Physic  Chem\n",
 
+       "100       82   89    99     101   125\n",
 
+       "101        4   31   109      32     5\n",
 
+       "102       56  103    56      61    90\n",
 
+       "103       47  100   147     138    99\n",
 
+       "104       38   46    82      75    44\n",
 
+       "105       18   11   122       3   126\n",
 
+       "106       56   26   106      14   139\n",
 
+       "107        3  137    75      67   144\n",
 
+       "108       35   47   102      60    63\n",
 
+       "109       86  126    57      88   149\n",
 
+       "110       19  140    30      35    33\n",
 
+       "111       76    1     5      11    33\n",
 
+       "112       31   54    91     119    69\n",
 
+       "113       64   37    50      23    21\n",
 
+       "114       72   57   138      15    21\n",
 
+       "115       55  120   104      32    25\n",
 
+       "116       96   24    89      22   146\n",
 
+       "117       63    0     8      64    89\n",
 
+       "118       28   46   125      82    74\n",
 
+       "119       85   39    70     132   111\n",
 
+       "120      109   90    44      74    39\n",
 
+       "121        2  148   103     114    65\n",
 
+       "122      110   29    99      80    57\n",
 
+       "123      109   88    81     135    71\n",
 
+       "124       70  103   134     121   121\n",
 
+       "125       51   92   117      27    43\n",
 
+       "126        6   92    97      59   105\n",
 
+       "127       65   90    52     148    22\n",
 
+       "128        4  129    17     119    13\n",
 
+       "129       24  100   107      28   139\n",
 
+       "...      ...  ...   ...     ...   ...\n",
 
+       "2070     127   77    24      16    31\n",
 
+       "2071      93   61     9      28    22\n",
 
+       "2072     116   61    54       8    61\n",
 
+       "2073       4   72   140     112    34\n",
 
+       "2074      26  108   123      32    33\n",
 
+       "2075      46  130   135     124   113\n",
 
+       "2076      33   18   136      38    20\n",
 
+       "2077     107   11   129      54   119\n",
 
+       "2078      84   55   129      37    87\n",
 
+       "2079      95   50    45      19    84\n",
 
+       "2080     124   74    65     140    53\n",
 
+       "2081      26   35   149     145   127\n",
 
+       "2082      19   21   101       3    89\n",
 
+       "2083      84   10   131      71     4\n",
 
+       "2084      28   74   105      68    89\n",
 
+       "2085      23   93    84      97    88\n",
 
+       "2086      86  133    26     125    13\n",
 
+       "2087      21  124    40     115     5\n",
 
+       "2088      20   15    35      31    37\n",
 
+       "2089      96  123   123       5    64\n",
 
+       "2090      22   43    92      78    60\n",
 
+       "2091      16   31    17      60    58\n",
 
+       "2092      65   18    13      13    34\n",
 
+       "2093      69   49   109      40    58\n",
 
+       "2094     128   46    10      82   111\n",
 
+       "2095      26   59     8      54   149\n",
 
+       "2096     111   47    90      92    66\n",
 
+       "2097       5   97    73     140   104\n",
 
+       "2098     102    6     7       5   119\n",
 
+       "2099      97   19    77     143    48\n",
 
+       "\n",
 
+       "[2000 rows x 5 columns]"
 
+      ]
 
+     },
 
+     "execution_count": 42,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df = DataFrame(np.random.randint(0,150,size = (2000,5)),index = np.arange(100,2100),columns=['Python','En','Math','Physic','Chem'])\n",
 
+    "df"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 43,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "for i in range(1000):\n",
 
+    "    # 行索引\n",
 
+    "    index = np.random.randint(100,2100,size =1)[0]\n",
 
+    "\n",
 
+    "    cols = df.columns\n",
 
+    "\n",
 
+    "    # 列索引\n",
 
+    "    col = np.random.choice(cols)\n",
 
+    "\n",
 
+    "    df.loc[index,col] = None"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 44,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python    190\n",
 
+       "En        200\n",
 
+       "Math      194\n",
 
+       "Physic    189\n",
 
+       "Chem      181\n",
 
+       "dtype: int64"
 
+      ]
 
+     },
 
+     "execution_count": 44,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.isnull().sum()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 45,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
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+       "        vertical-align: middle;\n",
 
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+       "\n",
 
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+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>100</th>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>101</th>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>102</th>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>103.0</td>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>103</th>\n",
 
+       "      <td>47.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>104</th>\n",
 
+       "      <td>38.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>44.0</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "     Python     En   Math  Physic   Chem\n",
 
+       "100    82.0   89.0   99.0   101.0  125.0\n",
 
+       "101     4.0   31.0  109.0    32.0    5.0\n",
 
+       "102    56.0  103.0   56.0     NaN   90.0\n",
 
+       "103    47.0  100.0  147.0   138.0   99.0\n",
 
+       "104    38.0   46.0    NaN    75.0   44.0"
 
+      ]
 
+     },
 
+     "execution_count": 45,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.head()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 46,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>2095</th>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>59.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>54.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2096</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>47.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "      <td>92.0</td>\n",
 
+       "      <td>66.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2097</th>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>73.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "      <td>104.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2098</th>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>7.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>119.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2099</th>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>77.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>48.0</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "      Python    En  Math  Physic   Chem\n",
 
+       "2095    26.0  59.0   8.0    54.0  149.0\n",
 
+       "2096     NaN  47.0  90.0    92.0   66.0\n",
 
+       "2097     5.0  97.0  73.0   140.0  104.0\n",
 
+       "2098   102.0   6.0   7.0     5.0  119.0\n",
 
+       "2099    97.0  19.0  77.0     NaN   48.0"
 
+      ]
 
+     },
 
+     "execution_count": 46,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.tail()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 48,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "array([ 82.,   4.,  56.,  47.,  38.,  18.,   3.,  35.,  86.,  19.,  76.,\n",
 
+       "        31.,  64.,  72.,  55.,  96.,  63.,  28.,  85., 109.,   2., 110.,\n",
 
+       "        70.,  51.,   6.,  65.,  24.,  48.,  44.,  11., 114., 129.,  87.,\n",
 
+       "       108., 125.,  nan, 140., 132.,  91.,  34.,  54.,  30.,  12.,  98.,\n",
 
+       "       142.,  79.,  13.,  77.,  40., 139.,  39.,  81., 112.,  36.,  22.,\n",
 
+       "         5., 120.,  17., 127., 119.,  59., 146.,  89., 103.,   8.,  97.,\n",
 
+       "       130.,  73.,  83., 122.,  95., 100.,  41.,  21., 136.,  80., 101.,\n",
 
+       "        50.,  27.,  71.,  16., 141., 126., 102., 145.,  15.,  52.,  94.,\n",
 
+       "        10.,  33., 137.,   9., 128.,  88.,  26.,  84.,  93.,   1.,   7.,\n",
 
+       "       131., 107., 148.,   0., 105.,  66.,  32., 115., 118.,  58.,  53.,\n",
 
+       "        29.,  42.,  57.,  62.,  25.,  60.,  69., 133.,  68.,  20., 106.,\n",
 
+       "       147.,  78.,  90., 124., 149.,  92.,  75., 117., 143.,  99.,  37.,\n",
 
+       "       123.,  45.,  61., 121., 135., 138., 116.,  14., 104.,  74.,  46.,\n",
 
+       "       111.,  23.,  43.,  49., 144., 113.,  67., 134.])"
 
+      ]
 
+     },
 
+     "execution_count": 48,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 去重之后的数据\n",
 
+    "df['Python'].unique()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 49,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "143.0    20\n",
 
+       "136.0    20\n",
 
+       "102.0    19\n",
 
+       "105.0    19\n",
 
+       "26.0     19\n",
 
+       "69.0     19\n",
 
+       "31.0     18\n",
 
+       "148.0    18\n",
 
+       "75.0     18\n",
 
+       "139.0    18\n",
 
+       "1.0      18\n",
 
+       "35.0     17\n",
 
+       "140.0    17\n",
 
+       "110.0    17\n",
 
+       "125.0    17\n",
 
+       "146.0    17\n",
 
+       "141.0    17\n",
 
+       "64.0     16\n",
 
+       "30.0     16\n",
 
+       "79.0     16\n",
 
+       "73.0     16\n",
 
+       "40.0     16\n",
 
+       "10.0     15\n",
 
+       "6.0      15\n",
 
+       "65.0     15\n",
 
+       "81.0     15\n",
 
+       "28.0     15\n",
 
+       "48.0     15\n",
 
+       "92.0     15\n",
 
+       "103.0    15\n",
 
+       "         ..\n",
 
+       "104.0     9\n",
 
+       "12.0      9\n",
 
+       "116.0     9\n",
 
+       "13.0      9\n",
 
+       "59.0      9\n",
 
+       "93.0      9\n",
 
+       "124.0     9\n",
 
+       "85.0      8\n",
 
+       "135.0     8\n",
 
+       "131.0     8\n",
 
+       "68.0      8\n",
 
+       "66.0      8\n",
 
+       "62.0      8\n",
 
+       "120.0     8\n",
 
+       "17.0      8\n",
 
+       "25.0      8\n",
 
+       "145.0     7\n",
 
+       "58.0      7\n",
 
+       "134.0     7\n",
 
+       "113.0     7\n",
 
+       "123.0     7\n",
 
+       "39.0      7\n",
 
+       "34.0      7\n",
 
+       "43.0      7\n",
 
+       "74.0      6\n",
 
+       "144.0     6\n",
 
+       "132.0     6\n",
 
+       "142.0     5\n",
 
+       "67.0      5\n",
 
+       "49.0      5\n",
 
+       "Name: Python, Length: 150, dtype: int64"
 
+      ]
 
+     },
 
+     "execution_count": 49,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df['Python'].value_counts()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 53,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "8.0      21\n",
 
+       "96.0     19\n",
 
+       "118.0    19\n",
 
+       "24.0     19\n",
 
+       "43.0     19\n",
 
+       "27.0     19\n",
 
+       "19.0     19\n",
 
+       "41.0     18\n",
 
+       "0.0      18\n",
 
+       "3.0      18\n",
 
+       "52.0     18\n",
 
+       "4.0      17\n",
 
+       "137.0    17\n",
 
+       "1.0      17\n",
 
+       "101.0    17\n",
 
+       "51.0     17\n",
 
+       "39.0     17\n",
 
+       "100.0    17\n",
 
+       "127.0    17\n",
 
+       "115.0    16\n",
 
+       "33.0     16\n",
 
+       "112.0    16\n",
 
+       "92.0     16\n",
 
+       "126.0    16\n",
 
+       "133.0    15\n",
 
+       "32.0     15\n",
 
+       "89.0     15\n",
 
+       "95.0     15\n",
 
+       "36.0     15\n",
 
+       "93.0     15\n",
 
+       "         ..\n",
 
+       "12.0      9\n",
 
+       "28.0      9\n",
 
+       "106.0     9\n",
 
+       "45.0      9\n",
 
+       "80.0      9\n",
 
+       "84.0      9\n",
 
+       "58.0      9\n",
 
+       "79.0      9\n",
 
+       "71.0      9\n",
 
+       "83.0      9\n",
 
+       "142.0     9\n",
 
+       "7.0       9\n",
 
+       "6.0       8\n",
 
+       "61.0      8\n",
 
+       "149.0     8\n",
 
+       "34.0      8\n",
 
+       "20.0      8\n",
 
+       "38.0      8\n",
 
+       "130.0     8\n",
 
+       "104.0     7\n",
 
+       "120.0     7\n",
 
+       "56.0      7\n",
 
+       "146.0     7\n",
 
+       "98.0      7\n",
 
+       "134.0     6\n",
 
+       "123.0     6\n",
 
+       "35.0      6\n",
 
+       "87.0      5\n",
 
+       "42.0      5\n",
 
+       "119.0     4\n",
 
+       "Name: En, Length: 150, dtype: int64"
 
+      ]
 
+     },
 
+     "execution_count": 53,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "en = df['En'].value_counts()\n",
 
+    "en"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 54,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "8.0"
 
+      ]
 
+     },
 
+     "execution_count": 54,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "en.index[0]"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 52,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "name": "stdout",
 
+     "output_type": "stream",
 
+     "text": [
 
+      "Python    75.0\n",
 
+      "En        74.0\n",
 
+      "Math      77.5\n",
 
+      "Physic    73.0\n",
 
+      "Chem      72.0\n",
 
+      "dtype: float64 <class 'pandas.core.series.Series'>\n"
 
+     ]
 
+    }
 
+   ],
 
+   "source": [
 
+    "s = df.median()\n",
 
+    "print(s,type(s))"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 55,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "zhongshu = []\n",
 
+    "for col in df.columns:\n",
 
+    "    zhongshu.append(df[col].value_counts().index[0])"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 57,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python    143.0\n",
 
+       "En          8.0\n",
 
+       "Math       80.0\n",
 
+       "Physic     31.0\n",
 
+       "Chem      125.0\n",
 
+       "dtype: float64"
 
+      ]
 
+     },
 
+     "execution_count": 57,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "s = Series(zhongshu,index = df.columns)\n",
 
+    "s"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 60,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>100</th>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>101</th>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>102</th>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>103.0</td>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>103</th>\n",
 
+       "      <td>47.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>104</th>\n",
 
+       "      <td>38.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>44.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>105</th>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>11.0</td>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>3.0</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>106</th>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>106.0</td>\n",
 
+       "      <td>14.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>107</th>\n",
 
+       "      <td>3.0</td>\n",
 
+       "      <td>137.0</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>67.0</td>\n",
 
+       "      <td>144.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>108</th>\n",
 
+       "      <td>35.0</td>\n",
 
+       "      <td>47.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>60.0</td>\n",
 
+       "      <td>63.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>109</th>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "      <td>88.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>110</th>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "      <td>35.0</td>\n",
 
+       "      <td>33.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>111</th>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>11.0</td>\n",
 
+       "      <td>33.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>112</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>54.0</td>\n",
 
+       "      <td>91.0</td>\n",
 
+       "      <td>119.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>113</th>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>23.0</td>\n",
 
+       "      <td>21.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>114</th>\n",
 
+       "      <td>72.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>21.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>115</th>\n",
 
+       "      <td>55.0</td>\n",
 
+       "      <td>120.0</td>\n",
 
+       "      <td>104.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>25.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>116</th>\n",
 
+       "      <td>96.0</td>\n",
 
+       "      <td>24.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>146.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>117</th>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>118</th>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>119</th>\n",
 
+       "      <td>85.0</td>\n",
 
+       "      <td>39.0</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>132.0</td>\n",
 
+       "      <td>111.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>120</th>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>39.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>121</th>\n",
 
+       "      <td>2.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>103.0</td>\n",
 
+       "      <td>114.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>122</th>\n",
 
+       "      <td>110.0</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>123</th>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>88.0</td>\n",
 
+       "      <td>81.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>71.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>124</th>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>103.0</td>\n",
 
+       "      <td>134.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "      <td>121.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>125</th>\n",
 
+       "      <td>51.0</td>\n",
 
+       "      <td>92.0</td>\n",
 
+       "      <td>117.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>43.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>126</th>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>92.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>59.0</td>\n",
 
+       "      <td>105.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>127</th>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "      <td>52.0</td>\n",
 
+       "      <td>148.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>128</th>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>17.0</td>\n",
 
+       "      <td>119.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>129</th>\n",
 
+       "      <td>24.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>107.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>...</th>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "      <td>...</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2070</th>\n",
 
+       "      <td>127.0</td>\n",
 
+       "      <td>77.0</td>\n",
 
+       "      <td>24.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2071</th>\n",
 
+       "      <td>93.0</td>\n",
 
+       "      <td>61.0</td>\n",
 
+       "      <td>9.0</td>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2072</th>\n",
 
+       "      <td>116.0</td>\n",
 
+       "      <td>61.0</td>\n",
 
+       "      <td>54.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>61.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2073</th>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>72.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>34.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2074</th>\n",
 
+       "      <td>143.0</td>\n",
 
+       "      <td>108.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>33.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2075</th>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>113.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2076</th>\n",
 
+       "      <td>143.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>136.0</td>\n",
 
+       "      <td>38.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2077</th>\n",
 
+       "      <td>143.0</td>\n",
 
+       "      <td>11.0</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>54.0</td>\n",
 
+       "      <td>119.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2078</th>\n",
 
+       "      <td>84.0</td>\n",
 
+       "      <td>55.0</td>\n",
 
+       "      <td>129.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2079</th>\n",
 
+       "      <td>95.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>45.0</td>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>84.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2080</th>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>53.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2081</th>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>35.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "      <td>145.0</td>\n",
 
+       "      <td>127.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2082</th>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>21.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>3.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2083</th>\n",
 
+       "      <td>84.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>131.0</td>\n",
 
+       "      <td>71.0</td>\n",
 
+       "      <td>4.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2084</th>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "      <td>105.0</td>\n",
 
+       "      <td>68.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2085</th>\n",
 
+       "      <td>23.0</td>\n",
 
+       "      <td>93.0</td>\n",
 
+       "      <td>84.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>88.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2086</th>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>133.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2087</th>\n",
 
+       "      <td>21.0</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2088</th>\n",
 
+       "      <td>20.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>35.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2089</th>\n",
 
+       "      <td>96.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "      <td>123.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2090</th>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>43.0</td>\n",
 
+       "      <td>92.0</td>\n",
 
+       "      <td>78.0</td>\n",
 
+       "      <td>60.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2091</th>\n",
 
+       "      <td>16.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>17.0</td>\n",
 
+       "      <td>60.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2092</th>\n",
 
+       "      <td>65.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "      <td>13.0</td>\n",
 
+       "      <td>34.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2093</th>\n",
 
+       "      <td>69.0</td>\n",
 
+       "      <td>49.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "      <td>58.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2094</th>\n",
 
+       "      <td>128.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>10.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>111.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2095</th>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>59.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>54.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2096</th>\n",
 
+       "      <td>143.0</td>\n",
 
+       "      <td>47.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "      <td>92.0</td>\n",
 
+       "      <td>66.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2097</th>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>73.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "      <td>104.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2098</th>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>6.0</td>\n",
 
+       "      <td>7.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>119.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2099</th>\n",
 
+       "      <td>97.0</td>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>77.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>48.0</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "<p>2000 rows × 5 columns</p>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "      Python     En   Math  Physic   Chem\n",
 
+       "100     82.0   89.0   99.0   101.0  125.0\n",
 
+       "101      4.0   31.0  109.0    32.0    5.0\n",
 
+       "102     56.0  103.0   56.0    31.0   90.0\n",
 
+       "103     47.0  100.0  147.0   138.0   99.0\n",
 
+       "104     38.0   46.0   80.0    75.0   44.0\n",
 
+       "105     18.0   11.0  122.0     3.0  126.0\n",
 
+       "106     56.0   26.0  106.0    14.0  139.0\n",
 
+       "107      3.0  137.0   75.0    67.0  144.0\n",
 
+       "108     35.0   47.0  102.0    60.0   63.0\n",
 
+       "109     86.0  126.0   80.0    88.0  149.0\n",
 
+       "110     19.0  140.0   80.0    35.0   33.0\n",
 
+       "111     76.0    8.0    5.0    11.0   33.0\n",
 
+       "112     31.0   54.0   91.0   119.0   69.0\n",
 
+       "113     64.0   37.0   50.0    23.0   21.0\n",
 
+       "114     72.0   57.0  138.0    15.0   21.0\n",
 
+       "115     55.0  120.0  104.0    32.0   25.0\n",
 
+       "116     96.0   24.0   89.0    31.0  146.0\n",
 
+       "117     63.0    8.0    8.0    64.0   89.0\n",
 
+       "118     28.0    8.0  125.0    82.0   74.0\n",
 
+       "119     85.0   39.0   70.0   132.0  111.0\n",
 
+       "120    109.0   90.0   80.0    74.0   39.0\n",
 
+       "121      2.0    8.0  103.0   114.0   65.0\n",
 
+       "122    110.0   29.0   99.0    80.0   57.0\n",
 
+       "123    109.0   88.0   81.0   135.0   71.0\n",
 
+       "124     70.0  103.0  134.0   121.0  121.0\n",
 
+       "125     51.0   92.0  117.0    31.0   43.0\n",
 
+       "126      6.0   92.0   97.0    59.0  105.0\n",
 
+       "127     65.0   90.0   52.0   148.0   22.0\n",
 
+       "128      4.0  129.0   17.0   119.0   13.0\n",
 
+       "129     24.0  100.0  107.0    28.0  139.0\n",
 
+       "...      ...    ...    ...     ...    ...\n",
 
+       "2070   127.0   77.0   24.0    16.0  125.0\n",
 
+       "2071    93.0   61.0    9.0    28.0   22.0\n",
 
+       "2072   116.0   61.0   54.0     8.0   61.0\n",
 
+       "2073     4.0   72.0  140.0    31.0   34.0\n",
 
+       "2074   143.0  108.0  123.0    32.0   33.0\n",
 
+       "2075    46.0    8.0  135.0   124.0  113.0\n",
 
+       "2076   143.0   18.0  136.0    38.0  125.0\n",
 
+       "2077   143.0   11.0  129.0    54.0  119.0\n",
 
+       "2078    84.0   55.0  129.0    37.0   87.0\n",
 
+       "2079    95.0   50.0   45.0    19.0   84.0\n",
 
+       "2080   124.0   74.0   65.0    31.0   53.0\n",
 
+       "2081    26.0   35.0  149.0   145.0  127.0\n",
 
+       "2082    19.0   21.0  101.0     3.0   89.0\n",
 
+       "2083    84.0    8.0  131.0    71.0    4.0\n",
 
+       "2084    28.0   74.0  105.0    68.0   89.0\n",
 
+       "2085    23.0   93.0   84.0    97.0   88.0\n",
 
+       "2086    86.0  133.0   26.0   125.0   13.0\n",
 
+       "2087    21.0  124.0   40.0    31.0    5.0\n",
 
+       "2088    20.0   15.0   35.0    31.0   37.0\n",
 
+       "2089    96.0  123.0  123.0     5.0   64.0\n",
 
+       "2090    22.0   43.0   92.0    78.0   60.0\n",
 
+       "2091    16.0   31.0   17.0    60.0   58.0\n",
 
+       "2092    65.0   18.0   13.0    13.0   34.0\n",
 
+       "2093    69.0   49.0  109.0    40.0   58.0\n",
 
+       "2094   128.0   46.0   10.0    82.0  111.0\n",
 
+       "2095    26.0   59.0    8.0    54.0  149.0\n",
 
+       "2096   143.0   47.0   90.0    92.0   66.0\n",
 
+       "2097     5.0   97.0   73.0   140.0  104.0\n",
 
+       "2098   102.0    6.0    7.0     5.0  119.0\n",
 
+       "2099    97.0   19.0   77.0    31.0   48.0\n",
 
+       "\n",
 
+       "[2000 rows x 5 columns]"
 
+      ]
 
+     },
 
+     "execution_count": 60,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df2 = df.fillna(s)\n",
 
+    "df2"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 61,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python    0\n",
 
+       "En        0\n",
 
+       "Math      0\n",
 
+       "Physic    0\n",
 
+       "Chem      0\n",
 
+       "dtype: int64"
 
+      ]
 
+     },
 
+     "execution_count": 61,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df2.isnull().sum()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 62,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
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+     "data": {
 
+      "text/plain": [
 
+       "Python    190\n",
 
+       "En        200\n",
 
+       "Math      194\n",
 
+       "Physic    189\n",
 
+       "Chem      181\n",
 
+       "dtype: int64"
 
+      ]
 
+     },
 
+     "execution_count": 62,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.isnull().sum()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 65,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
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+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
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+       "    }\n",
 
+       "\n",
 
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+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>100</th>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>101</th>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>102</th>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>103.0</td>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>103</th>\n",
 
+       "      <td>47.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>104</th>\n",
 
+       "      <td>38.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>44.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>105</th>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>11.0</td>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>3.0</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>106</th>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>106.0</td>\n",
 
+       "      <td>14.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>107</th>\n",
 
+       "      <td>3.0</td>\n",
 
+       "      <td>137.0</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>67.0</td>\n",
 
+       "      <td>144.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>108</th>\n",
 
+       "      <td>35.0</td>\n",
 
+       "      <td>47.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>60.0</td>\n",
 
+       "      <td>63.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>109</th>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>88.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>110</th>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>35.0</td>\n",
 
+       "      <td>33.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>111</th>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>11.0</td>\n",
 
+       "      <td>33.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>112</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>54.0</td>\n",
 
+       "      <td>91.0</td>\n",
 
+       "      <td>119.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>113</th>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>23.0</td>\n",
 
+       "      <td>21.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>114</th>\n",
 
+       "      <td>72.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>21.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>115</th>\n",
 
+       "      <td>55.0</td>\n",
 
+       "      <td>120.0</td>\n",
 
+       "      <td>104.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>25.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>116</th>\n",
 
+       "      <td>96.0</td>\n",
 
+       "      <td>24.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>146.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>117</th>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>118</th>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>119</th>\n",
 
+       "      <td>85.0</td>\n",
 
+       "      <td>39.0</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>132.0</td>\n",
 
+       "      <td>111.0</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "     Python     En   Math  Physic   Chem\n",
 
+       "100    82.0   89.0   99.0   101.0  125.0\n",
 
+       "101     4.0   31.0  109.0    32.0    5.0\n",
 
+       "102    56.0  103.0   56.0     NaN   90.0\n",
 
+       "103    47.0  100.0  147.0   138.0   99.0\n",
 
+       "104    38.0   46.0    NaN    75.0   44.0\n",
 
+       "105    18.0   11.0  122.0     3.0  126.0\n",
 
+       "106    56.0   26.0  106.0    14.0  139.0\n",
 
+       "107     3.0  137.0   75.0    67.0  144.0\n",
 
+       "108    35.0   47.0  102.0    60.0   63.0\n",
 
+       "109    86.0  126.0    NaN    88.0  149.0\n",
 
+       "110    19.0  140.0    NaN    35.0   33.0\n",
 
+       "111    76.0    NaN    5.0    11.0   33.0\n",
 
+       "112    31.0   54.0   91.0   119.0   69.0\n",
 
+       "113    64.0   37.0   50.0    23.0   21.0\n",
 
+       "114    72.0   57.0  138.0    15.0   21.0\n",
 
+       "115    55.0  120.0  104.0    32.0   25.0\n",
 
+       "116    96.0   24.0   89.0     NaN  146.0\n",
 
+       "117    63.0    NaN    8.0    64.0   89.0\n",
 
+       "118    28.0    NaN  125.0    82.0   74.0\n",
 
+       "119    85.0   39.0   70.0   132.0  111.0"
 
+      ]
 
+     },
 
+     "execution_count": 65,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df3 = df.iloc[:20]\n",
 
+    "df3"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 70,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Physic</th>\n",
 
+       "      <th>Chem</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>100</th>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>101</th>\n",
 
+       "      <td>4.0</td>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>109.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>102</th>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>103.0</td>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>103</th>\n",
 
+       "      <td>47.0</td>\n",
 
+       "      <td>100.0</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>99.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>104</th>\n",
 
+       "      <td>38.0</td>\n",
 
+       "      <td>46.0</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>44.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>105</th>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>11.0</td>\n",
 
+       "      <td>122.0</td>\n",
 
+       "      <td>3.0</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>106</th>\n",
 
+       "      <td>56.0</td>\n",
 
+       "      <td>26.0</td>\n",
 
+       "      <td>106.0</td>\n",
 
+       "      <td>14.0</td>\n",
 
+       "      <td>139.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>107</th>\n",
 
+       "      <td>3.0</td>\n",
 
+       "      <td>137.0</td>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>67.0</td>\n",
 
+       "      <td>144.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>108</th>\n",
 
+       "      <td>35.0</td>\n",
 
+       "      <td>47.0</td>\n",
 
+       "      <td>102.0</td>\n",
 
+       "      <td>60.0</td>\n",
 
+       "      <td>63.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>109</th>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "      <td>88.0</td>\n",
 
+       "      <td>88.0</td>\n",
 
+       "      <td>149.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>110</th>\n",
 
+       "      <td>19.0</td>\n",
 
+       "      <td>140.0</td>\n",
 
+       "      <td>35.0</td>\n",
 
+       "      <td>35.0</td>\n",
 
+       "      <td>33.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>111</th>\n",
 
+       "      <td>76.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>5.0</td>\n",
 
+       "      <td>11.0</td>\n",
 
+       "      <td>33.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>112</th>\n",
 
+       "      <td>31.0</td>\n",
 
+       "      <td>54.0</td>\n",
 
+       "      <td>91.0</td>\n",
 
+       "      <td>119.0</td>\n",
 
+       "      <td>69.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>113</th>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>23.0</td>\n",
 
+       "      <td>21.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>114</th>\n",
 
+       "      <td>72.0</td>\n",
 
+       "      <td>57.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>21.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>115</th>\n",
 
+       "      <td>55.0</td>\n",
 
+       "      <td>120.0</td>\n",
 
+       "      <td>104.0</td>\n",
 
+       "      <td>32.0</td>\n",
 
+       "      <td>25.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>116</th>\n",
 
+       "      <td>96.0</td>\n",
 
+       "      <td>24.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>146.0</td>\n",
 
+       "      <td>146.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>117</th>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>8.0</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>89.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>118</th>\n",
 
+       "      <td>28.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "      <td>125.0</td>\n",
 
+       "      <td>82.0</td>\n",
 
+       "      <td>74.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>119</th>\n",
 
+       "      <td>85.0</td>\n",
 
+       "      <td>39.0</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "      <td>132.0</td>\n",
 
+       "      <td>111.0</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "     Python     En   Math  Physic   Chem\n",
 
+       "100    82.0   89.0   99.0   101.0  125.0\n",
 
+       "101     4.0   31.0  109.0    32.0    5.0\n",
 
+       "102    56.0  103.0   56.0    90.0   90.0\n",
 
+       "103    47.0  100.0  147.0   138.0   99.0\n",
 
+       "104    38.0   46.0   75.0    75.0   44.0\n",
 
+       "105    18.0   11.0  122.0     3.0  126.0\n",
 
+       "106    56.0   26.0  106.0    14.0  139.0\n",
 
+       "107     3.0  137.0   75.0    67.0  144.0\n",
 
+       "108    35.0   47.0  102.0    60.0   63.0\n",
 
+       "109    86.0  126.0   88.0    88.0  149.0\n",
 
+       "110    19.0  140.0   35.0    35.0   33.0\n",
 
+       "111    76.0    5.0    5.0    11.0   33.0\n",
 
+       "112    31.0   54.0   91.0   119.0   69.0\n",
 
+       "113    64.0   37.0   50.0    23.0   21.0\n",
 
+       "114    72.0   57.0  138.0    15.0   21.0\n",
 
+       "115    55.0  120.0  104.0    32.0   25.0\n",
 
+       "116    96.0   24.0   89.0   146.0  146.0\n",
 
+       "117    63.0    8.0    8.0    64.0   89.0\n",
 
+       "118    28.0  125.0  125.0    82.0   74.0\n",
 
+       "119    85.0   39.0   70.0   132.0  111.0"
 
+      ]
 
+     },
 
+     "execution_count": 70,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "'''method : {'backfill', 'bfill', 'pad', 'ffill', None}, default None\n",
 
+    "    Method to use for filling holes in reindexed Series\n",
 
+    "    pad / ffill: propagate last valid observation forward to next valid\n",
 
+    "    backfill / bfill: use NEXT valid observation to fill gap'''\n",
 
+    "df3.fillna(method='bfill',axis = 1)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 71,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "(2000, 5)"
 
+      ]
 
+     },
 
+     "execution_count": 71,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "#数据量足够大，空数据比较少，直接删除\n",
 
+    "df.shape"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df.dro"
 
+   ]
 
+  }
 
+ ],
 
+ "metadata": {
 
+  "kernelspec": {
 
+   "display_name": "Python 3",
 
+   "language": "python",
 
+   "name": "python3"
 
+  },
 
+  "language_info": {
 
+   "codemirror_mode": {
 
+    "name": "ipython",
 
+    "version": 3
 
+   },
 
+   "file_extension": ".py",
 
+   "mimetype": "text/x-python",
 
+   "name": "python",
 
+   "nbconvert_exporter": "python",
 
+   "pygments_lexer": "ipython3",
 
+   "version": "3.7.7"
 
+  }
 
+ },
 
+ "nbformat": 4,
 
+ "nbformat_minor": 2
 
+}

+ 494 - 0
Day76-90/code/.ipynb_checkpoints/4-pandas多层索引-checkpoint.ipynb
Tampilan Berkas 

@@ -0,0 +1,494 @@
 
+{
 
+ "cells": [
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 1,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "import numpy as np\n",
 
+    "\n",
 
+    "import pandas as pd\n",
 
+    "# 数据分析BI-------->人工智能AI\n",
 
+    "# 数据分析和数据挖掘一个意思，\n",
 
+    "# 工具和软件：Excel 免费版\n",
 
+    "# SPSS（一人一年10000）、SAS（一人一年5000）、Matlab 收费\n",
 
+    "# R、Python（全方位语言，流行） 免费\n",
 
+    "# Python + numpy + scipy + pandas + matplotlib + seaborn + pyEcharts + sklearn + kereas（Tensorflow）+…… \n",
 
+    "# 代码，自动化（数据输入----输出结果）\n",
 
+    "from pandas import Series,DataFrame"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 2,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "a     63\n",
 
+       "b    107\n",
 
+       "c     16\n",
 
+       "d     35\n",
 
+       "e    140\n",
 
+       "f     83\n",
 
+       "dtype: int32"
 
+      ]
 
+     },
 
+     "execution_count": 2,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 多层索引，行列\n",
 
+    "# 单层索引\n",
 
+    "s = Series(np.random.randint(0,150,size = 6),index=list('abcdef'))\n",
 
+    "s"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 3,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "张三  期中    114\n",
 
+       "    期末    131\n",
 
+       "李四  期中      3\n",
 
+       "    期末     63\n",
 
+       "王五  期中    107\n",
 
+       "    期末     34\n",
 
+       "dtype: int32"
 
+      ]
 
+     },
 
+     "execution_count": 3,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 多层索引，两层，三层以上（规则一样）\n",
 
+    "s2 = Series(np.random.randint(0,150,size = 6),index = pd.MultiIndex.from_product([['张三','李四','王五'],['期中','期末']]))\n",
 
+    "s2"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 1,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "ename": "NameError",
 
+     "evalue": "name 'DataFrame' is not defined",
 
+     "output_type": "error",
 
+     "traceback": [
 
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
 
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
 
+      "\u001b[0;32m<ipython-input-1-25f058890288>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m150\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0msize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Python'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'En'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'Math'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMultiIndex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_product\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'张三'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'李四'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'王五'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'期中'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'期末'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
 
+      "\u001b[0;31mNameError\u001b[0m: name 'DataFrame' is not defined"
 
+     ]
 
+    }
 
+   ],
 
+   "source": [
 
+    "df = DataFrame(np.random.randint(0,150,size = (6,3)),columns=['Python','En','Math'],index =pd.MultiIndex.from_product([['张三','李四','王五'],['期中','期末']]) )\n",
 
+    "\n",
 
+    "df"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 5,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"4\" valign=\"top\">张三</th>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">期中</th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>31</td>\n",
 
+       "      <td>17</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>82</td>\n",
 
+       "      <td>56</td>\n",
 
+       "      <td>123</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">期末</th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>14</td>\n",
 
+       "      <td>2</td>\n",
 
+       "      <td>78</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>69</td>\n",
 
+       "      <td>50</td>\n",
 
+       "      <td>17</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"4\" valign=\"top\">李四</th>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">期中</th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>91</td>\n",
 
+       "      <td>87</td>\n",
 
+       "      <td>143</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>120</td>\n",
 
+       "      <td>118</td>\n",
 
+       "      <td>39</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">期末</th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>56</td>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>55</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>11</td>\n",
 
+       "      <td>105</td>\n",
 
+       "      <td>121</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"4\" valign=\"top\">王五</th>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">期中</th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>147</td>\n",
 
+       "      <td>78</td>\n",
 
+       "      <td>1</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>128</td>\n",
 
+       "      <td>126</td>\n",
 
+       "      <td>146</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">期末</th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>49</td>\n",
 
+       "      <td>45</td>\n",
 
+       "      <td>114</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>121</td>\n",
 
+       "      <td>26</td>\n",
 
+       "      <td>77</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "         Python   En  Math\n",
 
+       "张三 期中 A      15   31    17\n",
 
+       "      B      82   56   123\n",
 
+       "   期末 A      14    2    78\n",
 
+       "      B      69   50    17\n",
 
+       "李四 期中 A      91   87   143\n",
 
+       "      B     120  118    39\n",
 
+       "   期末 A      56   76    55\n",
 
+       "      B      11  105   121\n",
 
+       "王五 期中 A     147   78     1\n",
 
+       "      B     128  126   146\n",
 
+       "   期末 A      49   45   114\n",
 
+       "      B     121   26    77"
 
+      ]
 
+     },
 
+     "execution_count": 5,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 三层索引\n",
 
+    "df3 = DataFrame(np.random.randint(0,150,size = (12,3)),columns=['Python','En','Math'],index =pd.MultiIndex.from_product([['张三','李四','王五'],['期中','期末'],['A','B']]) )\n",
 
+    "\n",
 
+    "df3"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 9,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "73"
 
+      ]
 
+     },
 
+     "execution_count": 9,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 先获取列后获取行\n",
 
+    "df['Python']['张三']['期中']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 14,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df2 = df.copy()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 16,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">张三</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>25</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>37</td>\n",
 
+       "      <td>36</td>\n",
 
+       "      <td>56</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">李四</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>149</td>\n",
 
+       "      <td>81</td>\n",
 
+       "      <td>142</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>71</td>\n",
 
+       "      <td>138</td>\n",
 
+       "      <td>0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">王五</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>11</td>\n",
 
+       "      <td>94</td>\n",
 
+       "      <td>103</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>25</td>\n",
 
+       "      <td>121</td>\n",
 
+       "      <td>83</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "       Python   En  Math\n",
 
+       "张三 期中      73    5    25\n",
 
+       "   期末      37   36    56\n",
 
+       "李四 期中     149   81   142\n",
 
+       "   期末      71  138     0\n",
 
+       "王五 期中      11   94   103\n",
 
+       "   期末      25  121    83"
 
+      ]
 
+     },
 
+     "execution_count": 16,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df2.sort_index()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 22,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "73"
 
+      ]
 
+     },
 
+     "execution_count": 22,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 先获取行，后获取列\n",
 
+    "df.loc['张三'].loc['期中']['Python']"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 19,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">张三</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>25</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>37</td>\n",
 
+       "      <td>36</td>\n",
 
+       "      <td>56</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "       Python  En  Math\n",
 
+       "张三 期中      73   5    25\n",
 
+       "   期末      37  36    56"
 
+      ]
 
+     },
 
+     "execution_count": 19,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.iloc[[0,1]]"
 
+   ]
 
+  }
 
+ ],
 
+ "metadata": {
 
+  "kernelspec": {
 
+   "display_name": "Python 3",
 
+   "language": "python",
 
+   "name": "python3"
 
+  },
 
+  "language_info": {
 
+   "codemirror_mode": {
 
+    "name": "ipython",
 
+    "version": 3
 
+   },
 
+   "file_extension": ".py",
 
+   "mimetype": "text/x-python",
 
+   "name": "python",
 
+   "nbconvert_exporter": "python",
 
+   "pygments_lexer": "ipython3",
 
+   "version": "3.7.7"
 
+  }
 
+ },
 
+ "nbformat": 4,
 
+ "nbformat_minor": 2
 
+}

+ 1000 - 0
Day76-90/code/.ipynb_checkpoints/5-pandas多层索引计算-checkpoint.ipynb
Tampilan Berkas 

@@ -0,0 +1,1000 @@
 
+{
 
+ "cells": [
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 1,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "import numpy as np\n",
 
+    "\n",
 
+    "import pandas as pd\n",
 
+    "\n",
 
+    "from pandas import Series,DataFrame"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 2,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead tr th {\n",
 
+       "        text-align: left;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">Python</th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">En</th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">Math</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>131</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>17</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>62</td>\n",
 
+       "      <td>34</td>\n",
 
+       "      <td>53</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>57</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>36</td>\n",
 
+       "      <td>117</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>105</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>112</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>79</td>\n",
 
+       "      <td>42</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>122</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>66</td>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>104</td>\n",
 
+       "      <td>45</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>108</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>111</td>\n",
 
+       "      <td>108</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>41</td>\n",
 
+       "      <td>132</td>\n",
 
+       "      <td>21</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "  Python        En      Math     \n",
 
+       "      期中   期末   期中   期末   期中   期末\n",
 
+       "A    131  101    1   73   15   17\n",
 
+       "B     62   34   53  101   24   57\n",
 
+       "C     24   76   36  117  123  105\n",
 
+       "D    112   46   79   42   46  122\n",
 
+       "E     66  113  104   45   10  108\n",
 
+       "F    111  108    4   41  132   21"
 
+      ]
 
+     },
 
+     "execution_count": 2,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 多层列索引\n",
 
+    "df = DataFrame(np.random.randint(0,150,size = (6,6)),index = list('ABCDEF'),\n",
 
+    "               columns=pd.MultiIndex.from_product([['Python','En','Math'],['期中','期末']]))\n",
 
+    "df"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 5,
 
+   "metadata": {
 
+    "scrolled": false
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python  期中    84.3\n",
 
+       "        期末    79.7\n",
 
+       "En      期中    46.2\n",
 
+       "        期末    69.8\n",
 
+       "Math    期中    58.3\n",
 
+       "        期末    71.7\n",
 
+       "dtype: float64"
 
+      ]
 
+     },
 
+     "execution_count": 5,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# round保留2位小数\n",
 
+    "df.mean().round(1)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 10,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead tr th {\n",
 
+       "        text-align: left;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">Python</th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">En</th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">Math</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>131</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>17</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>62</td>\n",
 
+       "      <td>34</td>\n",
 
+       "      <td>53</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>57</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>36</td>\n",
 
+       "      <td>117</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>105</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>112</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>79</td>\n",
 
+       "      <td>42</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>122</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>66</td>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>104</td>\n",
 
+       "      <td>45</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>108</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>111</td>\n",
 
+       "      <td>108</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>41</td>\n",
 
+       "      <td>132</td>\n",
 
+       "      <td>21</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "  Python        En      Math     \n",
 
+       "      期中   期末   期中   期末   期中   期末\n",
 
+       "A    131  101    1   73   15   17\n",
 
+       "B     62   34   53  101   24   57\n",
 
+       "C     24   76   36  117  123  105\n",
 
+       "D    112   46   79   42   46  122\n",
 
+       "E     66  113  104   45   10  108\n",
 
+       "F    111  108    4   41  132   21"
 
+      ]
 
+     },
 
+     "execution_count": 10,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 13,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>116.0</td>\n",
 
+       "      <td>37.0</td>\n",
 
+       "      <td>16.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>48.0</td>\n",
 
+       "      <td>77.0</td>\n",
 
+       "      <td>40.5</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>50.0</td>\n",
 
+       "      <td>76.5</td>\n",
 
+       "      <td>114.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>79.0</td>\n",
 
+       "      <td>60.5</td>\n",
 
+       "      <td>84.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>89.5</td>\n",
 
+       "      <td>74.5</td>\n",
 
+       "      <td>59.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>109.5</td>\n",
 
+       "      <td>22.5</td>\n",
 
+       "      <td>76.5</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   Python    En   Math\n",
 
+       "A   116.0  37.0   16.0\n",
 
+       "B    48.0  77.0   40.5\n",
 
+       "C    50.0  76.5  114.0\n",
 
+       "D    79.0  60.5   84.0\n",
 
+       "E    89.5  74.5   59.0\n",
 
+       "F   109.5  22.5   76.5"
 
+      ]
 
+     },
 
+     "execution_count": 13,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# axis = 0代表行\n",
 
+    "# axis = 1代表列\n",
 
+    "df.mean(axis = 1,level = 0)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": []
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 15,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>49.0</td>\n",
 
+       "      <td>63.7</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>46.3</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>61.0</td>\n",
 
+       "      <td>99.3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>79.0</td>\n",
 
+       "      <td>70.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>60.0</td>\n",
 
+       "      <td>88.7</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>82.3</td>\n",
 
+       "      <td>56.7</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "     期中    期末\n",
 
+       "A  49.0  63.7\n",
 
+       "B  46.3  64.0\n",
 
+       "C  61.0  99.3\n",
 
+       "D  79.0  70.0\n",
 
+       "E  60.0  88.7\n",
 
+       "F  82.3  56.7"
 
+      ]
 
+     },
 
+     "execution_count": 15,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.mean(axis = 1,level = 1).round(1)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 17,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead tr th {\n",
 
+       "        text-align: left;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">Python</th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">En</th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">Math</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>131</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>17</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>62</td>\n",
 
+       "      <td>34</td>\n",
 
+       "      <td>53</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>57</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>36</td>\n",
 
+       "      <td>117</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>105</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>112</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>79</td>\n",
 
+       "      <td>42</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>122</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>66</td>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>104</td>\n",
 
+       "      <td>45</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>108</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>111</td>\n",
 
+       "      <td>108</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>41</td>\n",
 
+       "      <td>132</td>\n",
 
+       "      <td>21</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "  Python        En      Math     \n",
 
+       "      期中   期末   期中   期末   期中   期末\n",
 
+       "A    131  101    1   73   15   17\n",
 
+       "B     62   34   53  101   24   57\n",
 
+       "C     24   76   36  117  123  105\n",
 
+       "D    112   46   79   42   46  122\n",
 
+       "E     66  113  104   45   10  108\n",
 
+       "F    111  108    4   41  132   21"
 
+      ]
 
+     },
 
+     "execution_count": 17,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 20,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>Python</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">A</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>131</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>17</td>\n",
 
+       "      <td>101</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">B</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>53</td>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>62</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>57</td>\n",
 
+       "      <td>34</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">C</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>36</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>24</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>117</td>\n",
 
+       "      <td>105</td>\n",
 
+       "      <td>76</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">D</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>79</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>112</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>42</td>\n",
 
+       "      <td>122</td>\n",
 
+       "      <td>46</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">E</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>104</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>66</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>45</td>\n",
 
+       "      <td>108</td>\n",
 
+       "      <td>113</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">F</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>132</td>\n",
 
+       "      <td>111</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>41</td>\n",
 
+       "      <td>21</td>\n",
 
+       "      <td>108</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "       En  Math  Python\n",
 
+       "A 期中    1    15     131\n",
 
+       "  期末   73    17     101\n",
 
+       "B 期中   53    24      62\n",
 
+       "  期末  101    57      34\n",
 
+       "C 期中   36   123      24\n",
 
+       "  期末  117   105      76\n",
 
+       "D 期中   79    46     112\n",
 
+       "  期末   42   122      46\n",
 
+       "E 期中  104    10      66\n",
 
+       "  期末   45   108     113\n",
 
+       "F 期中    4   132     111\n",
 
+       "  期末   41    21     108"
 
+      ]
 
+     },
 
+     "execution_count": 20,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 行和列的多层索引，进行转换\n",
 
+    "# Stack the prescribed level(s) from columns to index.\n",
 
+    "# 从列变成行\n",
 
+    "df2 = df.stack(level = 1)\n",
 
+    "df2"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 21,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead tr th {\n",
 
+       "        text-align: left;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th colspan=\"6\" halign=\"left\">En</th>\n",
 
+       "      <th colspan=\"6\" halign=\"left\">Math</th>\n",
 
+       "      <th colspan=\"6\" halign=\"left\">Python</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <th>B</th>\n",
 
+       "      <th>C</th>\n",
 
+       "      <th>D</th>\n",
 
+       "      <th>E</th>\n",
 
+       "      <th>F</th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <th>B</th>\n",
 
+       "      <th>C</th>\n",
 
+       "      <th>D</th>\n",
 
+       "      <th>E</th>\n",
 
+       "      <th>F</th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <th>B</th>\n",
 
+       "      <th>C</th>\n",
 
+       "      <th>D</th>\n",
 
+       "      <th>E</th>\n",
 
+       "      <th>F</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>53</td>\n",
 
+       "      <td>36</td>\n",
 
+       "      <td>79</td>\n",
 
+       "      <td>104</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>132</td>\n",
 
+       "      <td>131</td>\n",
 
+       "      <td>62</td>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>112</td>\n",
 
+       "      <td>66</td>\n",
 
+       "      <td>111</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>117</td>\n",
 
+       "      <td>42</td>\n",
 
+       "      <td>45</td>\n",
 
+       "      <td>41</td>\n",
 
+       "      <td>17</td>\n",
 
+       "      <td>57</td>\n",
 
+       "      <td>105</td>\n",
 
+       "      <td>122</td>\n",
 
+       "      <td>108</td>\n",
 
+       "      <td>21</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>34</td>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>108</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "    En                        Math                         Python                       \n",
 
+       "     A    B    C   D    E   F    A   B    C    D    E    F      A   B   C    D    E    F\n",
 
+       "期中   1   53   36  79  104   4   15  24  123   46   10  132    131  62  24  112   66  111\n",
 
+       "期末  73  101  117  42   45  41   17  57  105  122  108   21    101  34  76   46  113  108"
 
+      ]
 
+     },
 
+     "execution_count": 21,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 从行变成列\n",
 
+    "df2.unstack(level= 0 )"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 22,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead tr th {\n",
 
+       "        text-align: left;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
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+       "      <th colspan=\"2\" halign=\"left\">Python</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <th>期末</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>73</td>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>17</td>\n",
 
+       "      <td>131</td>\n",
 
+       "      <td>101</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>53</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>57</td>\n",
 
+       "      <td>62</td>\n",
 
+       "      <td>34</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>36</td>\n",
 
+       "      <td>117</td>\n",
 
+       "      <td>123</td>\n",
 
+       "      <td>105</td>\n",
 
+       "      <td>24</td>\n",
 
+       "      <td>76</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>79</td>\n",
 
+       "      <td>42</td>\n",
 
+       "      <td>46</td>\n",
 
+       "      <td>122</td>\n",
 
+       "      <td>112</td>\n",
 
+       "      <td>46</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>104</td>\n",
 
+       "      <td>45</td>\n",
 
+       "      <td>10</td>\n",
 
+       "      <td>108</td>\n",
 
+       "      <td>66</td>\n",
 
+       "      <td>113</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>41</td>\n",
 
+       "      <td>132</td>\n",
 
+       "      <td>21</td>\n",
 
+       "      <td>111</td>\n",
 
+       "      <td>108</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "    En      Math      Python     \n",
 
+       "    期中   期末   期中   期末     期中   期末\n",
 
+       "A    1   73   15   17    131  101\n",
 
+       "B   53  101   24   57     62   34\n",
 
+       "C   36  117  123  105     24   76\n",
 
+       "D   79   42   46  122    112   46\n",
 
+       "E  104   45   10  108     66  113\n",
 
+       "F    4   41  132   21    111  108"
 
+      ]
 
+     },
 
+     "execution_count": 22,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df2.unstack(level = 1)"
 
+   ]
 
+  }
 
+ ],
 
+ "metadata": {
 
+  "kernelspec": {
 
+   "display_name": "Python 3",
 
+   "language": "python",
 
+   "name": "python3"
 
+  },
 
+  "language_info": {
 
+   "codemirror_mode": {
 
+    "name": "ipython",
 
+    "version": 3
 
+   },
 
+   "file_extension": ".py",
 
+   "mimetype": "text/x-python",
 
+   "name": "python",
 
+   "nbconvert_exporter": "python",
 
+   "pygments_lexer": "ipython3",
 
+   "version": "3.7.7"
 
+  }
 
+ },
 
+ "nbformat": 4,
 
+ "nbformat_minor": 2
 
+}

+ 1209 - 0
Day76-90/code/.ipynb_checkpoints/6-pandas数据集成-checkpoint.ipynb
Tampilan Berkas 

@@ -0,0 +1,1209 @@
 
+{
 
+ "cells": [
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 1,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "import numpy as np\n",
 
+    "\n",
 
+    "import pandas as pd\n",
 
+    "from pandas import Series,DataFrame"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "# 数据分析数据挖掘\n",
 
+    "# 有数据情况下：\n",
 
+    "# 数据预处理\n",
 
+    "# 数据清洗（空数据，异常值）\n",
 
+    "# 数据集成（多个数据合并到一起，级联）数据可能存放在多个表中\n",
 
+    "# 数据转化\n",
 
+    "# 数据规约（属性减少（不重要的属性删除），数据减少去重操作）"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 2,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "array([[  5,  12,  67,  29,  46, 103,  53,  53, 139,  87],\n",
 
+       "       [126,  33,  55, 104,  45,  70,  96, 133, 116,  43],\n",
 
+       "       [ 84,  45,  17,  42,  19,  11, 125,  43,  54,  39],\n",
 
+       "       [ 97,  68,  99,  90,  28,  60, 135,  84, 111,  63],\n",
 
+       "       [114,  56,  30,  81,  48,  73, 119,  65,  20,  22]])"
 
+      ]
 
+     },
 
+     "metadata": {},
 
+     "output_type": "display_data"
 
+    },
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "array([[115, 128, 122, 127,   4, 135,  26,  25, 131, 139],\n",
 
+       "       [ 66, 119,  37, 136, 101,  40, 102, 127, 148, 127],\n",
 
+       "       [ 89,  80, 140, 133,  51, 142,  47,  27,  54,  23],\n",
 
+       "       [ 64, 127,  33, 128,  60, 106,  67,  94, 110,  76],\n",
 
+       "       [  6,  21,  23,  96,  10,  62,  26,  79, 149,  43],\n",
 
+       "       [116, 143, 132, 118,  68,  21,  57, 133, 124, 124]])"
 
+      ]
 
+     },
 
+     "metadata": {},
 
+     "output_type": "display_data"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 首先看numpy数组的集成\n",
 
+    "nd1 = np.random.randint(0,150,size = (5,10))\n",
 
+    "\n",
 
+    "nd2 = np.random.randint(0,150,size = (6,10))\n",
 
+    "display(nd1,nd2)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 3,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "array([[  5,  12,  67,  29,  46, 103,  53,  53, 139,  87],\n",
 
+       "       [126,  33,  55, 104,  45,  70,  96, 133, 116,  43],\n",
 
+       "       [ 84,  45,  17,  42,  19,  11, 125,  43,  54,  39],\n",
 
+       "       [ 97,  68,  99,  90,  28,  60, 135,  84, 111,  63],\n",
 
+       "       [114,  56,  30,  81,  48,  73, 119,  65,  20,  22],\n",
 
+       "       [115, 128, 122, 127,   4, 135,  26,  25, 131, 139],\n",
 
+       "       [ 66, 119,  37, 136, 101,  40, 102, 127, 148, 127],\n",
 
+       "       [ 89,  80, 140, 133,  51, 142,  47,  27,  54,  23],\n",
 
+       "       [ 64, 127,  33, 128,  60, 106,  67,  94, 110,  76],\n",
 
+       "       [  6,  21,  23,  96,  10,  62,  26,  79, 149,  43],\n",
 
+       "       [116, 143, 132, 118,  68,  21,  57, 133, 124, 124]])"
 
+      ]
 
+     },
 
+     "execution_count": 3,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 原来数据一个5行，一个是6行，级联之后变成了11行\n",
 
+    "nd3 = np.concatenate([nd1,nd2],axis = 0)\n",
 
+    "nd3"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 4,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "array([[110,  38, 144,  92,  38,   2,  67,   2, 103,  81],\n",
 
+       "       [ 56,  61,  61,  22, 108, 145,  95,  44,  40, 100],\n",
 
+       "       [ 65,  74,  85, 123,  47, 117,  35,  55, 120,  20],\n",
 
+       "       [ 15,   9,   4,  84,  71, 133, 140,  13,  71,  91],\n",
 
+       "       [ 94,  31,  41,   5,   7,  32,  50,  24,  18, 120]])"
 
+      ]
 
+     },
 
+     "metadata": {},
 
+     "output_type": "display_data"
 
+    },
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "array([[ 65, 149,  86, 138,  98],\n",
 
+       "       [136,  49, 102,  45, 140],\n",
 
+       "       [ 13, 124,  94,  81,  73],\n",
 
+       "       [ 82,  38,   0,  75,  94],\n",
 
+       "       [146,  28, 143,  61,  49]])"
 
+      ]
 
+     },
 
+     "metadata": {},
 
+     "output_type": "display_data"
 
+    }
 
+   ],
 
+   "source": [
 
+    "nd1 = np.random.randint(0,150,size = (5,10))\n",
 
+    "\n",
 
+    "nd2 = np.random.randint(0,150,size = (5,5))\n",
 
+    "display(nd1,nd2)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 6,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "array([[110,  38, 144,  92,  38,   2,  67,   2, 103,  81,  65, 149,  86,\n",
 
+       "        138,  98],\n",
 
+       "       [ 56,  61,  61,  22, 108, 145,  95,  44,  40, 100, 136,  49, 102,\n",
 
+       "         45, 140],\n",
 
+       "       [ 65,  74,  85, 123,  47, 117,  35,  55, 120,  20,  13, 124,  94,\n",
 
+       "         81,  73],\n",
 
+       "       [ 15,   9,   4,  84,  71, 133, 140,  13,  71,  91,  82,  38,   0,\n",
 
+       "         75,  94],\n",
 
+       "       [ 94,  31,  41,   5,   7,  32,  50,  24,  18, 120, 146,  28, 143,\n",
 
+       "         61,  49]])"
 
+      ]
 
+     },
 
+     "execution_count": 6,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# axis = 0行级联（第一维度的级联），axis = 1（第二个维度的级联，列的级联）\n",
 
+    "np.concatenate((nd1,nd2),axis = 1)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "# pandas级联操作，pandas基于numpy\n",
 
+    "# pandas的级联类似"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 7,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>53</td>\n",
 
+       "      <td>80</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>135</td>\n",
 
+       "      <td>40</td>\n",
 
+       "      <td>52</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>144</td>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>64</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   Python  Math  En\n",
 
+       "A     113    53  80\n",
 
+       "B     135    40  52\n",
 
+       "C     144    18  64"
 
+      ]
 
+     },
 
+     "metadata": {},
 
+     "output_type": "display_data"
 
+    },
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>126</td>\n",
 
+       "      <td>118</td>\n",
 
+       "      <td>146</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>147</td>\n",
 
+       "      <td>81</td>\n",
 
+       "      <td>27</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>87</td>\n",
 
+       "      <td>63</td>\n",
 
+       "      <td>1</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>G</th>\n",
 
+       "      <td>35</td>\n",
 
+       "      <td>95</td>\n",
 
+       "      <td>33</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>H</th>\n",
 
+       "      <td>130</td>\n",
 
+       "      <td>117</td>\n",
 
+       "      <td>91</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>I</th>\n",
 
+       "      <td>124</td>\n",
 
+       "      <td>98</td>\n",
 
+       "      <td>122</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   Python  Math   En\n",
 
+       "D     126   118  146\n",
 
+       "E     147    81   27\n",
 
+       "F      87    63    1\n",
 
+       "G      35    95   33\n",
 
+       "H     130   117   91\n",
 
+       "I     124    98  122"
 
+      ]
 
+     },
 
+     "metadata": {},
 
+     "output_type": "display_data"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df1 = DataFrame(np.random.randint(0,150,size = (3,3)),index = list('ABC'),columns=['Python','Math','En'])\n",
 
+    "\n",
 
+    "df2 = DataFrame(np.random.randint(0,150,size = (6,3)),index = list('DEFGHI'),columns=['Python','Math','En'])\n",
 
+    "\n",
 
+    "display(df1,df2)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 8,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>53</td>\n",
 
+       "      <td>80</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>135</td>\n",
 
+       "      <td>40</td>\n",
 
+       "      <td>52</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>144</td>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>64</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>126</td>\n",
 
+       "      <td>118</td>\n",
 
+       "      <td>146</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>147</td>\n",
 
+       "      <td>81</td>\n",
 
+       "      <td>27</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>87</td>\n",
 
+       "      <td>63</td>\n",
 
+       "      <td>1</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>G</th>\n",
 
+       "      <td>35</td>\n",
 
+       "      <td>95</td>\n",
 
+       "      <td>33</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>H</th>\n",
 
+       "      <td>130</td>\n",
 
+       "      <td>117</td>\n",
 
+       "      <td>91</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>I</th>\n",
 
+       "      <td>124</td>\n",
 
+       "      <td>98</td>\n",
 
+       "      <td>122</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   Python  Math   En\n",
 
+       "A     113    53   80\n",
 
+       "B     135    40   52\n",
 
+       "C     144    18   64\n",
 
+       "D     126   118  146\n",
 
+       "E     147    81   27\n",
 
+       "F      87    63    1\n",
 
+       "G      35    95   33\n",
 
+       "H     130   117   91\n",
 
+       "I     124    98  122"
 
+      ]
 
+     },
 
+     "execution_count": 8,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# pandas汇总数据，数据集成\n",
 
+    "df1.append(df2)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 9,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>53</td>\n",
 
+       "      <td>80</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>135</td>\n",
 
+       "      <td>40</td>\n",
 
+       "      <td>52</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>144</td>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>64</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>126</td>\n",
 
+       "      <td>118</td>\n",
 
+       "      <td>146</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>147</td>\n",
 
+       "      <td>81</td>\n",
 
+       "      <td>27</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>87</td>\n",
 
+       "      <td>63</td>\n",
 
+       "      <td>1</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>G</th>\n",
 
+       "      <td>35</td>\n",
 
+       "      <td>95</td>\n",
 
+       "      <td>33</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>H</th>\n",
 
+       "      <td>130</td>\n",
 
+       "      <td>117</td>\n",
 
+       "      <td>91</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>I</th>\n",
 
+       "      <td>124</td>\n",
 
+       "      <td>98</td>\n",
 
+       "      <td>122</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   Python  Math   En\n",
 
+       "A     113    53   80\n",
 
+       "B     135    40   52\n",
 
+       "C     144    18   64\n",
 
+       "D     126   118  146\n",
 
+       "E     147    81   27\n",
 
+       "F      87    63    1\n",
 
+       "G      35    95   33\n",
 
+       "H     130   117   91\n",
 
+       "I     124    98  122"
 
+      ]
 
+     },
 
+     "execution_count": 9,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "pd.concat([df1,df2])"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 12,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "name": "stderr",
 
+     "output_type": "stream",
 
+     "text": [
 
+      "d:\\python36\\lib\\site-packages\\ipykernel_launcher.py:1: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
 
+      "of pandas will change to not sort by default.\n",
 
+      "\n",
 
+      "To accept the future behavior, pass 'sort=False'.\n",
 
+      "\n",
 
+      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
 
+      "\n",
 
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
 
+     ]
 
+    },
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>113.0</td>\n",
 
+       "      <td>53.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>135.0</td>\n",
 
+       "      <td>40.0</td>\n",
 
+       "      <td>52.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>144.0</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>64.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>126.0</td>\n",
 
+       "      <td>118.0</td>\n",
 
+       "      <td>146.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>147.0</td>\n",
 
+       "      <td>81.0</td>\n",
 
+       "      <td>27.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>87.0</td>\n",
 
+       "      <td>63.0</td>\n",
 
+       "      <td>1.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>G</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>35.0</td>\n",
 
+       "      <td>95.0</td>\n",
 
+       "      <td>33.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>H</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>130.0</td>\n",
 
+       "      <td>117.0</td>\n",
 
+       "      <td>91.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>I</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>124.0</td>\n",
 
+       "      <td>98.0</td>\n",
 
+       "      <td>122.0</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   Python  Math    En  Python   Math     En\n",
 
+       "A   113.0  53.0  80.0     NaN    NaN    NaN\n",
 
+       "B   135.0  40.0  52.0     NaN    NaN    NaN\n",
 
+       "C   144.0  18.0  64.0     NaN    NaN    NaN\n",
 
+       "D     NaN   NaN   NaN   126.0  118.0  146.0\n",
 
+       "E     NaN   NaN   NaN   147.0   81.0   27.0\n",
 
+       "F     NaN   NaN   NaN    87.0   63.0    1.0\n",
 
+       "G     NaN   NaN   NaN    35.0   95.0   33.0\n",
 
+       "H     NaN   NaN   NaN   130.0  117.0   91.0\n",
 
+       "I     NaN   NaN   NaN   124.0   98.0  122.0"
 
+      ]
 
+     },
 
+     "execution_count": 12,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "pd.concat([df1,df2],axis = 1,ignore_index = False)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 13,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>58</td>\n",
 
+       "      <td>13</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>99</td>\n",
 
+       "      <td>57</td>\n",
 
+       "      <td>35</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>24</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>60</td>\n",
 
+       "      <td>111</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>137</td>\n",
 
+       "      <td>23</td>\n",
 
+       "      <td>121</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>G</th>\n",
 
+       "      <td>49</td>\n",
 
+       "      <td>78</td>\n",
 
+       "      <td>115</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   Python  Math   En\n",
 
+       "A      22    58   13\n",
 
+       "B      99    57   35\n",
 
+       "C      51    28   24\n",
 
+       "E       5    60  111\n",
 
+       "F     137    23  121\n",
 
+       "G      49    78  115"
 
+      ]
 
+     },
 
+     "metadata": {},
 
+     "output_type": "display_data"
 
+    },
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>118</td>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>81</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>126</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>0</td>\n",
 
+       "      <td>115</td>\n",
 
+       "      <td>128</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>130</td>\n",
 
+       "      <td>94</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>49</td>\n",
 
+       "      <td>93</td>\n",
 
+       "      <td>140</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>G</th>\n",
 
+       "      <td>70</td>\n",
 
+       "      <td>59</td>\n",
 
+       "      <td>94</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   Python  Math   En\n",
 
+       "A     118   113   81\n",
 
+       "B      51    22  126\n",
 
+       "C       0   115  128\n",
 
+       "E     100   130   94\n",
 
+       "F      49    93  140\n",
 
+       "G      70    59   94"
 
+      ]
 
+     },
 
+     "metadata": {},
 
+     "output_type": "display_data"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 期中\n",
 
+    "df1 = DataFrame(np.random.randint(0,150,size = (6,3)),index = list('ABCEFG'),columns=['Python','Math','En'])\n",
 
+    "\n",
 
+    "# 期末\n",
 
+    "df2 = DataFrame(np.random.randint(0,150,size = (6,3)),index = list('ABCEFG'),columns=['Python','Math','En'])\n",
 
+    "\n",
 
+    "display(df1,df2)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 16,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
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+       "\n",
 
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+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"6\" valign=\"top\">期中</th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>58</td>\n",
 
+       "      <td>13</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>99</td>\n",
 
+       "      <td>57</td>\n",
 
+       "      <td>35</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>24</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>60</td>\n",
 
+       "      <td>111</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>137</td>\n",
 
+       "      <td>23</td>\n",
 
+       "      <td>121</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>G</th>\n",
 
+       "      <td>49</td>\n",
 
+       "      <td>78</td>\n",
 
+       "      <td>115</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"6\" valign=\"top\">期末</th>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>118</td>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>81</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>126</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>0</td>\n",
 
+       "      <td>115</td>\n",
 
+       "      <td>128</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>130</td>\n",
 
+       "      <td>94</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>49</td>\n",
 
+       "      <td>93</td>\n",
 
+       "      <td>140</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>G</th>\n",
 
+       "      <td>70</td>\n",
 
+       "      <td>59</td>\n",
 
+       "      <td>94</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "      Python  Math   En\n",
 
+       "期中 A      22    58   13\n",
 
+       "   B      99    57   35\n",
 
+       "   C      51    28   24\n",
 
+       "   E       5    60  111\n",
 
+       "   F     137    23  121\n",
 
+       "   G      49    78  115\n",
 
+       "期末 A     118   113   81\n",
 
+       "   B      51    22  126\n",
 
+       "   C       0   115  128\n",
 
+       "   E     100   130   94\n",
 
+       "   F      49    93  140\n",
 
+       "   G      70    59   94"
 
+      ]
 
+     },
 
+     "execution_count": 16,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df3 = pd.concat([df1,df2],axis = 0,keys = ['期中','期末'])\n",
 
+    "df3"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 19,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
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+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">A</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>58</td>\n",
 
+       "      <td>13</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>118</td>\n",
 
+       "      <td>113</td>\n",
 
+       "      <td>81</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">B</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>99</td>\n",
 
+       "      <td>57</td>\n",
 
+       "      <td>35</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>126</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">C</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>28</td>\n",
 
+       "      <td>24</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>0</td>\n",
 
+       "      <td>115</td>\n",
 
+       "      <td>128</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">E</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>60</td>\n",
 
+       "      <td>111</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>130</td>\n",
 
+       "      <td>94</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">F</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>137</td>\n",
 
+       "      <td>23</td>\n",
 
+       "      <td>121</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>49</td>\n",
 
+       "      <td>93</td>\n",
 
+       "      <td>140</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">G</th>\n",
 
+       "      <th>期中</th>\n",
 
+       "      <td>49</td>\n",
 
+       "      <td>78</td>\n",
 
+       "      <td>115</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>期末</th>\n",
 
+       "      <td>70</td>\n",
 
+       "      <td>59</td>\n",
 
+       "      <td>94</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "      Python  Math   En\n",
 
+       "A 期中      22    58   13\n",
 
+       "  期末     118   113   81\n",
 
+       "B 期中      99    57   35\n",
 
+       "  期末      51    22  126\n",
 
+       "C 期中      51    28   24\n",
 
+       "  期末       0   115  128\n",
 
+       "E 期中       5    60  111\n",
 
+       "  期末     100   130   94\n",
 
+       "F 期中     137    23  121\n",
 
+       "  期末      49    93  140\n",
 
+       "G 期中      49    78  115\n",
 
+       "  期末      70    59   94"
 
+      ]
 
+     },
 
+     "execution_count": 19,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df3.unstack(level = 0).stack()"
 
+   ]
 
+  }
 
+ ],
 
+ "metadata": {
 
+  "kernelspec": {
 
+   "display_name": "Python 3",
 
+   "language": "python",
 
+   "name": "python3"
 
+  },
 
+  "language_info": {
 
+   "codemirror_mode": {
 
+    "name": "ipython",
 
+    "version": 3
 
+   },
 
+   "file_extension": ".py",
 
+   "mimetype": "text/x-python",
 
+   "name": "python",
 
+   "nbconvert_exporter": "python",
 
+   "pygments_lexer": "ipython3",
 
+   "version": "3.7.7"
 
+  }
 
+ },
 
+ "nbformat": 4,
 
+ "nbformat_minor": 2
 
+}

+ 1272 - 0
Day76-90/code/.ipynb_checkpoints/7-pandas数据集成merge-checkpoint.ipynb
Tampilan Berkas 

@@ -0,0 +1,1272 @@
 
+{
 
+ "cells": [
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 1,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "import numpy as np\n",
 
+    "\n",
 
+    "import pandas as pd\n",
 
+    "from pandas import Series,DataFrame"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "# 上一讲，append，concat数据集成方法\n",
 
+    "# merge融合，根据某一共同属性进行级联，高级用法"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 2,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>name</th>\n",
 
+       "      <th>sex</th>\n",
 
+       "      <th>id</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>0</th>\n",
 
+       "      <td>A</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>1</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>1</th>\n",
 
+       "      <td>B</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>2</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2</th>\n",
 
+       "      <td>C</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>3</th>\n",
 
+       "      <td>D</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>4</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>4</th>\n",
 
+       "      <td>E</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>5</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>5</th>\n",
 
+       "      <td>F</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>6</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "  name sex  id\n",
 
+       "0    A   男   1\n",
 
+       "1    B   女   2\n",
 
+       "2    C   女   3\n",
 
+       "3    D   女   4\n",
 
+       "4    E   男   5\n",
 
+       "5    F   男   6"
 
+      ]
 
+     },
 
+     "execution_count": 2,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df1 = DataFrame({'name':['A','B','C','D','E','F'],\n",
 
+    "                 'sex':['男','女','女','女','男','男'],\n",
 
+    "                 'id':[1,2,3,4,5,6]})\n",
 
+    "df1"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 3,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>age</th>\n",
 
+       "      <th>salary</th>\n",
 
+       "      <th>id</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>0</th>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>12000</td>\n",
 
+       "      <td>1</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>1</th>\n",
 
+       "      <td>25</td>\n",
 
+       "      <td>15000</td>\n",
 
+       "      <td>2</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2</th>\n",
 
+       "      <td>27</td>\n",
 
+       "      <td>20000</td>\n",
 
+       "      <td>3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>3</th>\n",
 
+       "      <td>21</td>\n",
 
+       "      <td>30000</td>\n",
 
+       "      <td>4</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>4</th>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>10000</td>\n",
 
+       "      <td>5</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>5</th>\n",
 
+       "      <td>29</td>\n",
 
+       "      <td>8000</td>\n",
 
+       "      <td>7</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   age  salary  id\n",
 
+       "0   22   12000   1\n",
 
+       "1   25   15000   2\n",
 
+       "2   27   20000   3\n",
 
+       "3   21   30000   4\n",
 
+       "4   18   10000   5\n",
 
+       "5   29    8000   7"
 
+      ]
 
+     },
 
+     "execution_count": 3,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df2 = DataFrame({'age':[22,25,27,21,18,29],'salary':[12000,15000,20000,30000,10000,8000],'id':[1,2,3,4,5,7]})\n",
 
+    "df2"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 4,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "name": "stderr",
 
+     "output_type": "stream",
 
+     "text": [
 
+      "d:\\python36\\lib\\site-packages\\pandas\\core\\frame.py:6692: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
 
+      "of pandas will change to not sort by default.\n",
 
+      "\n",
 
+      "To accept the future behavior, pass 'sort=False'.\n",
 
+      "\n",
 
+      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
 
+      "\n",
 
+      "  sort=sort)\n"
 
+     ]
 
+    },
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>age</th>\n",
 
+       "      <th>id</th>\n",
 
+       "      <th>name</th>\n",
 
+       "      <th>salary</th>\n",
 
+       "      <th>sex</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>0</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>A</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>男</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>1</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>2</td>\n",
 
+       "      <td>B</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>女</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>3</td>\n",
 
+       "      <td>C</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>女</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>3</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>D</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>女</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>4</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>E</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>男</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>5</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>6</td>\n",
 
+       "      <td>F</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>男</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>0</th>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>12000.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>1</th>\n",
 
+       "      <td>25.0</td>\n",
 
+       "      <td>2</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>15000.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2</th>\n",
 
+       "      <td>27.0</td>\n",
 
+       "      <td>3</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>20000.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>3</th>\n",
 
+       "      <td>21.0</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>30000.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>4</th>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>10000.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>5</th>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>7</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>8000.0</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "    age  id name   salary  sex\n",
 
+       "0   NaN   1    A      NaN    男\n",
 
+       "1   NaN   2    B      NaN    女\n",
 
+       "2   NaN   3    C      NaN    女\n",
 
+       "3   NaN   4    D      NaN    女\n",
 
+       "4   NaN   5    E      NaN    男\n",
 
+       "5   NaN   6    F      NaN    男\n",
 
+       "0  22.0   1  NaN  12000.0  NaN\n",
 
+       "1  25.0   2  NaN  15000.0  NaN\n",
 
+       "2  27.0   3  NaN  20000.0  NaN\n",
 
+       "3  21.0   4  NaN  30000.0  NaN\n",
 
+       "4  18.0   5  NaN  10000.0  NaN\n",
 
+       "5  29.0   7  NaN   8000.0  NaN"
 
+      ]
 
+     },
 
+     "execution_count": 4,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df1.append(df2)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 5,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
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+    {
 
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+       "<div>\n",
 
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+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>name</th>\n",
 
+       "      <th>sex</th>\n",
 
+       "      <th>id</th>\n",
 
+       "      <th>age</th>\n",
 
+       "      <th>salary</th>\n",
 
+       "      <th>id</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>0</th>\n",
 
+       "      <td>A</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>12000</td>\n",
 
+       "      <td>1</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>1</th>\n",
 
+       "      <td>B</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>2</td>\n",
 
+       "      <td>25</td>\n",
 
+       "      <td>15000</td>\n",
 
+       "      <td>2</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2</th>\n",
 
+       "      <td>C</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>3</td>\n",
 
+       "      <td>27</td>\n",
 
+       "      <td>20000</td>\n",
 
+       "      <td>3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>3</th>\n",
 
+       "      <td>D</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>21</td>\n",
 
+       "      <td>30000</td>\n",
 
+       "      <td>4</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>4</th>\n",
 
+       "      <td>E</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>10000</td>\n",
 
+       "      <td>5</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>5</th>\n",
 
+       "      <td>F</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>6</td>\n",
 
+       "      <td>29</td>\n",
 
+       "      <td>8000</td>\n",
 
+       "      <td>7</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "  name sex  id  age  salary  id\n",
 
+       "0    A   男   1   22   12000   1\n",
 
+       "1    B   女   2   25   15000   2\n",
 
+       "2    C   女   3   27   20000   3\n",
 
+       "3    D   女   4   21   30000   4\n",
 
+       "4    E   男   5   18   10000   5\n",
 
+       "5    F   男   6   29    8000   7"
 
+      ]
 
+     },
 
+     "execution_count": 5,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "pd.concat([df1,df2],axis = 1)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 6,
 
+   "metadata": {
 
+    "collapsed": true
 
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+    {
 
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+       "      <th>sex</th>\n",
 
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+       "      <th>age</th>\n",
 
+       "      <th>salary</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>0</th>\n",
 
+       "      <td>A</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>12000</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>1</th>\n",
 
+       "      <td>B</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>2</td>\n",
 
+       "      <td>25</td>\n",
 
+       "      <td>15000</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2</th>\n",
 
+       "      <td>C</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>3</td>\n",
 
+       "      <td>27</td>\n",
 
+       "      <td>20000</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>3</th>\n",
 
+       "      <td>D</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>21</td>\n",
 
+       "      <td>30000</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>4</th>\n",
 
+       "      <td>E</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>18</td>\n",
 
+       "      <td>10000</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "  name sex  id  age  salary\n",
 
+       "0    A   男   1   22   12000\n",
 
+       "1    B   女   2   25   15000\n",
 
+       "2    C   女   3   27   20000\n",
 
+       "3    D   女   4   21   30000\n",
 
+       "4    E   男   5   18   10000"
 
+      ]
 
+     },
 
+     "execution_count": 6,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df1.merge(df2)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 7,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
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+       "<div>\n",
 
+       "<style scoped>\n",
 
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+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>name</th>\n",
 
+       "      <th>sex</th>\n",
 
+       "      <th>id</th>\n",
 
+       "      <th>age</th>\n",
 
+       "      <th>salary</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>0</th>\n",
 
+       "      <td>A</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>1</td>\n",
 
+       "      <td>22.0</td>\n",
 
+       "      <td>12000.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>1</th>\n",
 
+       "      <td>B</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>2</td>\n",
 
+       "      <td>25.0</td>\n",
 
+       "      <td>15000.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2</th>\n",
 
+       "      <td>C</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>3</td>\n",
 
+       "      <td>27.0</td>\n",
 
+       "      <td>20000.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>3</th>\n",
 
+       "      <td>D</td>\n",
 
+       "      <td>女</td>\n",
 
+       "      <td>4</td>\n",
 
+       "      <td>21.0</td>\n",
 
+       "      <td>30000.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>4</th>\n",
 
+       "      <td>E</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>5</td>\n",
 
+       "      <td>18.0</td>\n",
 
+       "      <td>10000.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>5</th>\n",
 
+       "      <td>F</td>\n",
 
+       "      <td>男</td>\n",
 
+       "      <td>6</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>6</th>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>NaN</td>\n",
 
+       "      <td>7</td>\n",
 
+       "      <td>29.0</td>\n",
 
+       "      <td>8000.0</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "  name  sex  id   age   salary\n",
 
+       "0    A    男   1  22.0  12000.0\n",
 
+       "1    B    女   2  25.0  15000.0\n",
 
+       "2    C    女   3  27.0  20000.0\n",
 
+       "3    D    女   4  21.0  30000.0\n",
 
+       "4    E    男   5  18.0  10000.0\n",
 
+       "5    F    男   6   NaN      NaN\n",
 
+       "6  NaN  NaN   7  29.0   8000.0"
 
+      ]
 
+     },
 
+     "execution_count": 7,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df1.merge(df2,how = 'outer')"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 8,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>40</td>\n",
 
+       "      <td>15</td>\n",
 
+       "      <td>90</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>59</td>\n",
 
+       "      <td>52</td>\n",
 
+       "      <td>83</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>14</td>\n",
 
+       "      <td>138</td>\n",
 
+       "      <td>137</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>89</td>\n",
 
+       "      <td>78</td>\n",
 
+       "      <td>53</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>81</td>\n",
 
+       "      <td>101</td>\n",
 
+       "      <td>3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>79</td>\n",
 
+       "      <td>86</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   Python  Math   En\n",
 
+       "A      40    15   90\n",
 
+       "B      59    52   83\n",
 
+       "C      14   138  137\n",
 
+       "D      89    78   53\n",
 
+       "E      81   101    3\n",
 
+       "F      75    79   86"
 
+      ]
 
+     },
 
+     "execution_count": 8,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df = DataFrame(np.random.randint(0,150,size = (6,3)),index = list('ABCDEF'),columns=['Python','Math','En'])\n",
 
+    "df"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 11,
 
+   "metadata": {
 
+    "scrolled": false
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Python    59.7\n",
 
+       "Math      77.2\n",
 
+       "En        75.3\n",
 
+       "dtype: float64"
 
+      ]
 
+     },
 
+     "execution_count": 11,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "s = df.mean().round(1)\n",
 
+    "s"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 20,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
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+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>score_mean</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <td>59.7</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <td>77.2</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>En</th>\n",
 
+       "      <td>75.3</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "        score_mean\n",
 
+       "Python        59.7\n",
 
+       "Math          77.2\n",
 
+       "En            75.3"
 
+      ]
 
+     },
 
+     "execution_count": 20,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df2 = DataFrame(s)\n",
 
+    "df2.columns = ['score_mean']\n",
 
+    "df2"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 30,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
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+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>score_mean</th>\n",
 
+       "      <td>59.7</td>\n",
 
+       "      <td>77.2</td>\n",
 
+       "      <td>75.3</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "            Python  Math    En\n",
 
+       "score_mean    59.7  77.2  75.3"
 
+      ]
 
+     },
 
+     "execution_count": 30,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df3 = df2.T\n",
 
+    "df3"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 32,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
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+       "\n",
 
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+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>40.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>59.0</td>\n",
 
+       "      <td>52.0</td>\n",
 
+       "      <td>83.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>14.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>137.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>78.0</td>\n",
 
+       "      <td>53.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>81.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>3.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>79.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>score_mean</th>\n",
 
+       "      <td>59.7</td>\n",
 
+       "      <td>77.2</td>\n",
 
+       "      <td>75.3</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "            Python   Math     En\n",
 
+       "A             40.0   15.0   90.0\n",
 
+       "B             59.0   52.0   83.0\n",
 
+       "C             14.0  138.0  137.0\n",
 
+       "D             89.0   78.0   53.0\n",
 
+       "E             81.0  101.0    3.0\n",
 
+       "F             75.0   79.0   86.0\n",
 
+       "score_mean    59.7   77.2   75.3"
 
+      ]
 
+     },
 
+     "execution_count": 32,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df4 = df.append(df3)\n",
 
+    "df4"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 38,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>score_mean</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>48.3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>64.7</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>96.3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>73.3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>61.7</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>80.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>score_mean</th>\n",
 
+       "      <td>70.7</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "            score_mean\n",
 
+       "A                 48.3\n",
 
+       "B                 64.7\n",
 
+       "C                 96.3\n",
 
+       "D                 73.3\n",
 
+       "E                 61.7\n",
 
+       "F                 80.0\n",
 
+       "score_mean        70.7"
 
+      ]
 
+     },
 
+     "execution_count": 38,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df5 = DataFrame(df4.mean(axis = 1).round(1))\n",
 
+    "df5.columns = ['score_mean']\n",
 
+    "df5"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 40,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
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+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Python</th>\n",
 
+       "      <th>Math</th>\n",
 
+       "      <th>En</th>\n",
 
+       "      <th>score_mean</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>A</th>\n",
 
+       "      <td>40.0</td>\n",
 
+       "      <td>15.0</td>\n",
 
+       "      <td>90.0</td>\n",
 
+       "      <td>48.3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>B</th>\n",
 
+       "      <td>59.0</td>\n",
 
+       "      <td>52.0</td>\n",
 
+       "      <td>83.0</td>\n",
 
+       "      <td>64.7</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>C</th>\n",
 
+       "      <td>14.0</td>\n",
 
+       "      <td>138.0</td>\n",
 
+       "      <td>137.0</td>\n",
 
+       "      <td>96.3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>D</th>\n",
 
+       "      <td>89.0</td>\n",
 
+       "      <td>78.0</td>\n",
 
+       "      <td>53.0</td>\n",
 
+       "      <td>73.3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>E</th>\n",
 
+       "      <td>81.0</td>\n",
 
+       "      <td>101.0</td>\n",
 
+       "      <td>3.0</td>\n",
 
+       "      <td>61.7</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>F</th>\n",
 
+       "      <td>75.0</td>\n",
 
+       "      <td>79.0</td>\n",
 
+       "      <td>86.0</td>\n",
 
+       "      <td>80.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>score_mean</th>\n",
 
+       "      <td>59.7</td>\n",
 
+       "      <td>77.2</td>\n",
 
+       "      <td>75.3</td>\n",
 
+       "      <td>70.7</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "            Python   Math     En  score_mean\n",
 
+       "A             40.0   15.0   90.0        48.3\n",
 
+       "B             59.0   52.0   83.0        64.7\n",
 
+       "C             14.0  138.0  137.0        96.3\n",
 
+       "D             89.0   78.0   53.0        73.3\n",
 
+       "E             81.0  101.0    3.0        61.7\n",
 
+       "F             75.0   79.0   86.0        80.0\n",
 
+       "score_mean    59.7   77.2   75.3        70.7"
 
+      ]
 
+     },
 
+     "execution_count": 40,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df4.merge(df5,left_index=True,right_index=True)"
 
+   ]
 
+  }
 
+ ],
 
+ "metadata": {
 
+  "kernelspec": {
 
+   "display_name": "Python 3",
 
+   "language": "python",
 
+   "name": "python3"
 
+  },
 
+  "language_info": {
 
+   "codemirror_mode": {
 
+    "name": "ipython",
 
+    "version": 3
 
+   },
 
+   "file_extension": ".py",
 
+   "mimetype": "text/x-python",
 
+   "name": "python",
 
+   "nbconvert_exporter": "python",
 
+   "pygments_lexer": "ipython3",
 
+   "version": "3.7.7"
 
+  }
 
+ },
 
+ "nbformat": 4,
 
+ "nbformat_minor": 2
 
+}

+ 877 - 0
Day76-90/code/.ipynb_checkpoints/8-pandas分组聚合操作-checkpoint.ipynb
Tampilan Berkas 

@@ -0,0 +1,877 @@
 
+{
 
+ "cells": [
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 1,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "# 分组聚合透视\n",
 
+    "# 很多时候属性是相似的\n",
 
+    "\n",
 
+    "import numpy as np\n",
 
+    "\n",
 
+    "import pandas as pd\n",
 
+    "\n",
 
+    "from pandas import Series,DataFrame"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 2,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Hand</th>\n",
 
+       "      <th>Smoke</th>\n",
 
+       "      <th>sex</th>\n",
 
+       "      <th>weight</th>\n",
 
+       "      <th>IQ</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>0</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>yes</td>\n",
 
+       "      <td>male</td>\n",
 
+       "      <td>80</td>\n",
 
+       "      <td>100</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>1</th>\n",
 
+       "      <td>left</td>\n",
 
+       "      <td>yes</td>\n",
 
+       "      <td>female</td>\n",
 
+       "      <td>50</td>\n",
 
+       "      <td>120</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2</th>\n",
 
+       "      <td>left</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>female</td>\n",
 
+       "      <td>48</td>\n",
 
+       "      <td>90</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>3</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>male</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>130</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>4</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>yes</td>\n",
 
+       "      <td>male</td>\n",
 
+       "      <td>68</td>\n",
 
+       "      <td>140</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>5</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>male</td>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>80</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>6</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>female</td>\n",
 
+       "      <td>40</td>\n",
 
+       "      <td>94</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>7</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>female</td>\n",
 
+       "      <td>90</td>\n",
 
+       "      <td>110</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>8</th>\n",
 
+       "      <td>left</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>male</td>\n",
 
+       "      <td>88</td>\n",
 
+       "      <td>100</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>9</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>yes</td>\n",
 
+       "      <td>female</td>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>160</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "    Hand Smoke     sex  weight   IQ\n",
 
+       "0  right   yes    male      80  100\n",
 
+       "1   left   yes  female      50  120\n",
 
+       "2   left    no  female      48   90\n",
 
+       "3  right    no    male      75  130\n",
 
+       "4  right   yes    male      68  140\n",
 
+       "5  right    no    male     100   80\n",
 
+       "6  right    no  female      40   94\n",
 
+       "7  right    no  female      90  110\n",
 
+       "8   left    no    male      88  100\n",
 
+       "9  right   yes  female      76  160"
 
+      ]
 
+     },
 
+     "execution_count": 2,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "# 走右手习惯，是否抽烟，性别，对体重，智商，有一定影响\n",
 
+    "\n",
 
+    "df = DataFrame({'Hand':['right','left','left','right','right','right','right','right','left','right'],\n",
 
+    "               'Smoke':['yes','yes','no','no','yes','no','no','no','no','yes'],\n",
 
+    "               'sex':['male','female','female','male','male','male','female','female','male','female'],\n",
 
+    "               'weight':[80,50,48,75,68,100,40,90,88,76],\n",
 
+    "               'IQ':[100,120,90,130,140,80,94,110,100,160]})\n",
 
+    "df"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "# 分组聚合查看规律，某一条件下规律"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 7,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>weight</th>\n",
 
+       "      <th>IQ</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>Hand</th>\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>left</th>\n",
 
+       "      <td>62.0</td>\n",
 
+       "      <td>103.3</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>right</th>\n",
 
+       "      <td>75.6</td>\n",
 
+       "      <td>116.3</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "       weight     IQ\n",
 
+       "Hand                \n",
 
+       "left     62.0  103.3\n",
 
+       "right    75.6  116.3"
 
+      ]
 
+     },
 
+     "execution_count": 7,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "data = df.groupby(by = ['Hand'])[['weight','IQ']].mean().round(1)\n",
 
+    "data"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 11,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>weight</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>Hand</th>\n",
 
+       "      <th></th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>left</th>\n",
 
+       "      <td>62.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>right</th>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "       weight\n",
 
+       "Hand         \n",
 
+       "left     62.0\n",
 
+       "right    75.6"
 
+      ]
 
+     },
 
+     "execution_count": 11,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.groupby(by = ['Hand'])[['weight']].apply(np.mean).round(1)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 14,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": [
 
+    "df2 = df.groupby(by = ['Hand'])[['weight']].transform(np.mean).round(1)\n"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 17,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
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+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>weight_mean</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>0</th>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>1</th>\n",
 
+       "      <td>62.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2</th>\n",
 
+       "      <td>62.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>3</th>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>4</th>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>5</th>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>6</th>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>7</th>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>8</th>\n",
 
+       "      <td>62.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>9</th>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "   weight_mean\n",
 
+       "0         75.6\n",
 
+       "1         62.0\n",
 
+       "2         62.0\n",
 
+       "3         75.6\n",
 
+       "4         75.6\n",
 
+       "5         75.6\n",
 
+       "6         75.6\n",
 
+       "7         75.6\n",
 
+       "8         62.0\n",
 
+       "9         75.6"
 
+      ]
 
+     },
 
+     "execution_count": 17,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df2 = df2.add_suffix('_mean')\n",
 
+    "df2"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 19,
 
+   "metadata": {
 
+    "collapsed": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>Hand</th>\n",
 
+       "      <th>Smoke</th>\n",
 
+       "      <th>sex</th>\n",
 
+       "      <th>weight</th>\n",
 
+       "      <th>IQ</th>\n",
 
+       "      <th>weight_mean</th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>0</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>yes</td>\n",
 
+       "      <td>male</td>\n",
 
+       "      <td>80</td>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>1</th>\n",
 
+       "      <td>left</td>\n",
 
+       "      <td>yes</td>\n",
 
+       "      <td>female</td>\n",
 
+       "      <td>50</td>\n",
 
+       "      <td>120</td>\n",
 
+       "      <td>62.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>2</th>\n",
 
+       "      <td>left</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>female</td>\n",
 
+       "      <td>48</td>\n",
 
+       "      <td>90</td>\n",
 
+       "      <td>62.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>3</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>male</td>\n",
 
+       "      <td>75</td>\n",
 
+       "      <td>130</td>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>4</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>yes</td>\n",
 
+       "      <td>male</td>\n",
 
+       "      <td>68</td>\n",
 
+       "      <td>140</td>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>5</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>male</td>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>80</td>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>6</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>female</td>\n",
 
+       "      <td>40</td>\n",
 
+       "      <td>94</td>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>7</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>female</td>\n",
 
+       "      <td>90</td>\n",
 
+       "      <td>110</td>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>8</th>\n",
 
+       "      <td>left</td>\n",
 
+       "      <td>no</td>\n",
 
+       "      <td>male</td>\n",
 
+       "      <td>88</td>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>62.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>9</th>\n",
 
+       "      <td>right</td>\n",
 
+       "      <td>yes</td>\n",
 
+       "      <td>female</td>\n",
 
+       "      <td>76</td>\n",
 
+       "      <td>160</td>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "    Hand Smoke     sex  weight   IQ  weight_mean\n",
 
+       "0  right   yes    male      80  100         75.6\n",
 
+       "1   left   yes  female      50  120         62.0\n",
 
+       "2   left    no  female      48   90         62.0\n",
 
+       "3  right    no    male      75  130         75.6\n",
 
+       "4  right   yes    male      68  140         75.6\n",
 
+       "5  right    no    male     100   80         75.6\n",
 
+       "6  right    no  female      40   94         75.6\n",
 
+       "7  right    no  female      90  110         75.6\n",
 
+       "8   left    no    male      88  100         62.0\n",
 
+       "9  right   yes  female      76  160         75.6"
 
+      ]
 
+     },
 
+     "execution_count": 19,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df3 = df.merge(df2,left_index=True,right_index=True)\n",
 
+    "df3"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 26,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "Hand\n",
 
+       "left     ([3, 3], [62.0, 103.3])\n",
 
+       "right    ([7, 7], [75.6, 116.3])\n",
 
+       "dtype: object"
 
+      ]
 
+     },
 
+     "execution_count": 26,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "def count(x):\n",
 
+    "    \n",
 
+    "    return (x.count(),x.mean().round(1))\n",
 
+    "\n",
 
+    "df.groupby(by = ['Hand'])[['weight','IQ']].apply(count)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 28,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "      <th>IQ</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>Hand</th>\n",
 
+       "      <th>sex</th>\n",
 
+       "      <th></th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">left</th>\n",
 
+       "      <th>female</th>\n",
 
+       "      <td>120</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>male</th>\n",
 
+       "      <td>100</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th rowspan=\"2\" valign=\"top\">right</th>\n",
 
+       "      <th>female</th>\n",
 
+       "      <td>160</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>male</th>\n",
 
+       "      <td>140</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "               IQ\n",
 
+       "Hand  sex        \n",
 
+       "left  female  120\n",
 
+       "      male    100\n",
 
+       "right female  160\n",
 
+       "      male    140"
 
+      ]
 
+     },
 
+     "execution_count": 28,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "df.groupby(by = ['Hand','sex'])[['IQ']].max()"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 29,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/plain": [
 
+       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x0000019E24051EF0>"
 
+      ]
 
+     },
 
+     "execution_count": 29,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "data = df.groupby(by = ['Hand'])['IQ','weight']\n",
 
+    "data"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 31,
 
+   "metadata": {
 
+    "scrolled": true
 
+   },
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead tr th {\n",
 
+       "        text-align: left;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead tr:last-of-type th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">IQ</th>\n",
 
+       "      <th colspan=\"2\" halign=\"left\">weight</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th></th>\n",
 
+       "      <th>max</th>\n",
 
+       "      <th>mean</th>\n",
 
+       "      <th>max</th>\n",
 
+       "      <th>mean</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>Hand</th>\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>left</th>\n",
 
+       "      <td>120</td>\n",
 
+       "      <td>103.3</td>\n",
 
+       "      <td>88</td>\n",
 
+       "      <td>62.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>right</th>\n",
 
+       "      <td>160</td>\n",
 
+       "      <td>116.3</td>\n",
 
+       "      <td>100</td>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "        IQ        weight      \n",
 
+       "       max   mean    max  mean\n",
 
+       "Hand                          \n",
 
+       "left   120  103.3     88  62.0\n",
 
+       "right  160  116.3    100  75.6"
 
+      ]
 
+     },
 
+     "execution_count": 31,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "data.agg(['max','mean']).round(1)"
 
+   ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": 35,
 
+   "metadata": {},
 
+   "outputs": [
 
+    {
 
+     "data": {
 
+      "text/html": [
 
+       "<div>\n",
 
+       "<style scoped>\n",
 
+       "    .dataframe tbody tr th:only-of-type {\n",
 
+       "        vertical-align: middle;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe tbody tr th {\n",
 
+       "        vertical-align: top;\n",
 
+       "    }\n",
 
+       "\n",
 
+       "    .dataframe thead th {\n",
 
+       "        text-align: right;\n",
 
+       "    }\n",
 
+       "</style>\n",
 
+       "<table border=\"1\" class=\"dataframe\">\n",
 
+       "  <thead>\n",
 
+       "    <tr style=\"text-align: right;\">\n",
 
+       "      <th></th>\n",
 
+       "      <th>IQ</th>\n",
 
+       "      <th>weight</th>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>Hand</th>\n",
 
+       "      <th></th>\n",
 
+       "      <th></th>\n",
 
+       "    </tr>\n",
 
+       "  </thead>\n",
 
+       "  <tbody>\n",
 
+       "    <tr>\n",
 
+       "      <th>left</th>\n",
 
+       "      <td>120</td>\n",
 
+       "      <td>62.0</td>\n",
 
+       "    </tr>\n",
 
+       "    <tr>\n",
 
+       "      <th>right</th>\n",
 
+       "      <td>160</td>\n",
 
+       "      <td>75.6</td>\n",
 
+       "    </tr>\n",
 
+       "  </tbody>\n",
 
+       "</table>\n",
 
+       "</div>"
 
+      ],
 
+      "text/plain": [
 
+       "        IQ  weight\n",
 
+       "Hand              \n",
 
+       "left   120    62.0\n",
 
+       "right  160    75.6"
 
+      ]
 
+     },
 
+     "execution_count": 35,
 
+     "metadata": {},
 
+     "output_type": "execute_result"
 
+    }
 
+   ],
 
+   "source": [
 
+    "data.agg({'IQ':'max','weight':'mean'}).round(1)"
 
+   ]
 
+  }
 
+ ],
 
+ "metadata": {
 
+  "kernelspec": {
 
+   "display_name": "Python 3",
 
+   "language": "python",
 
+   "name": "python3"
 
+  },
 
+  "language_info": {
 
+   "codemirror_mode": {
 
+    "name": "ipython",
 
+    "version": 3
 
+   },
 
+   "file_extension": ".py",
 
+   "mimetype": "text/x-python",
 
+   "name": "python",
 
+   "nbconvert_exporter": "python",
 
+   "pygments_lexer": "ipython3",
 
+   "version": "3.7.7"
 
+  }
 
+ },
 
+ "nbformat": 4,
 
+ "nbformat_minor": 2
 
+}

+ 107 - 110
Day76-90/code/1-pandas入门.ipynb
Tampilan Berkas 

@@ -2,7 +2,7 @@
 
  "cells": [
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 2,
 
+   "execution_count": 1,
 
    "metadata": {},
 
    "outputs": [],
 
    "source": [
 
@@ -13,7 +13,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 3,
 
+   "execution_count": 2,
 
    "metadata": {},
 
    "outputs": [],
 
    "source": [
 
@@ -22,14 +22,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": null,
 
-   "metadata": {},
 
-   "outputs": [],
 
-   "source": []
 
-  },
 
-  {
 
-   "cell_type": "code",
 
-   "execution_count": 4,
 
+   "execution_count": 5,
 
    "metadata": {
 
     "scrolled": false
 
    },
 
@@ -44,7 +37,7 @@
 
        "dtype: int64"
 
       ]
 
      },
 
-     "execution_count": 4,
 
+     "execution_count": 5,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -52,13 +45,13 @@
 
    "source": [
 
     "# 创建\n",
 
     "# Series是一维的数据\n",
 
-    "s = Series(data = [120,136,128,99],index = ['Math','Python','En','Chinese'])\n",
 
+    "s = Series(data=[120,136,128,99], index=['Math','Python','En','Chinese'])\n",
 
     "s"
 
    ]
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 5,
 
+   "execution_count": 6,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
@@ -67,7 +60,7 @@
 
        "(4,)"
 
       ]
 
      },
 
-     "execution_count": 5,
 
+     "execution_count": 6,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -78,16 +71,16 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 6,
 
+   "execution_count": 7,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
      "data": {
 
       "text/plain": [
 
-       "array([120, 136, 128,  99], dtype=int64)"
 
+       "array([120, 136, 128,  99])"
 
       ]
 
      },
 
-     "execution_count": 6,
 
+     "execution_count": 7,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -99,7 +92,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 7,
 
+   "execution_count": 8,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
@@ -108,7 +101,7 @@
 
        "numpy.ndarray"
 
       ]
 
      },
 
-     "execution_count": 7,
 
+     "execution_count": 8,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -119,7 +112,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 8,
 
+   "execution_count": 9,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
@@ -128,7 +121,7 @@
 
        "120.75"
 
       ]
 
      },
 
-     "execution_count": 8,
 
+     "execution_count": 9,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -139,7 +132,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 9,
 
+   "execution_count": 10,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
@@ -148,7 +141,7 @@
 
        "136"
 
       ]
 
      },
 
-     "execution_count": 9,
 
+     "execution_count": 10,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -159,7 +152,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 10,
 
+   "execution_count": 11,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
@@ -168,7 +161,7 @@
 
        "15.903353943953666"
 
       ]
 
      },
 
-     "execution_count": 10,
 
+     "execution_count": 11,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -179,36 +172,33 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 11,
 
-   "metadata": {
 
-    "collapsed": true
 
-   },
 
+   "execution_count": 20,
 
+   "metadata": {},
 
    "outputs": [
 
     {
 
      "data": {
 
       "text/plain": [
 
-       "Math       14400\n",
 
-       "Python     18496\n",
 
-       "En         16384\n",
 
-       "Chinese     9801\n",
 
+       "Math       122\n",
 
+       "Python     138\n",
 
+       "En         130\n",
 
+       "Chinese    101\n",
 
        "dtype: int64"
 
       ]
 
      },
 
-     "execution_count": 11,
 
+     "execution_count": 20,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
    ],
 
    "source": [
 
-    "s.pow(2)"
 
+    "s.add(1)\n",
 
+    "s"
 
    ]
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 12,
 
-   "metadata": {
 
-    "collapsed": true
 
-   },
 
+   "execution_count": 21,
 
+   "metadata": {},
 
    "outputs": [
 
     {
 
      "data": {
 
@@ -238,64 +228,64 @@
 
        "  </thead>\n",
 
        "  <tbody>\n",
 
        "    <tr>\n",
 
-       "      <th>a</th>\n",
 
-       "      <td>113</td>\n",
 
-       "      <td>116</td>\n",
 
-       "      <td>75</td>\n",
 
+       "      <td>a</td>\n",
 
+       "      <td>109</td>\n",
 
+       "      <td>120</td>\n",
 
+       "      <td>23</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>b</th>\n",
 
-       "      <td>19</td>\n",
 
-       "      <td>145</td>\n",
 
-       "      <td>23</td>\n",
 
+       "      <td>b</td>\n",
 
+       "      <td>54</td>\n",
 
+       "      <td>39</td>\n",
 
+       "      <td>54</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>c</th>\n",
 
-       "      <td>57</td>\n",
 
-       "      <td>107</td>\n",
 
-       "      <td>113</td>\n",
 
+       "      <td>c</td>\n",
 
+       "      <td>97</td>\n",
 
+       "      <td>22</td>\n",
 
+       "      <td>106</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>d</th>\n",
 
-       "      <td>95</td>\n",
 
+       "      <td>d</td>\n",
 
+       "      <td>21</td>\n",
 
+       "      <td>96</td>\n",
 
        "      <td>3</td>\n",
 
-       "      <td>66</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>e</th>\n",
 
-       "      <td>28</td>\n",
 
-       "      <td>121</td>\n",
 
-       "      <td>120</td>\n",
 
+       "      <td>e</td>\n",
 
+       "      <td>23</td>\n",
 
+       "      <td>145</td>\n",
 
+       "      <td>147</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>f</th>\n",
 
-       "      <td>141</td>\n",
 
-       "      <td>85</td>\n",
 
-       "      <td>132</td>\n",
 
+       "      <td>f</td>\n",
 
+       "      <td>80</td>\n",
 
+       "      <td>62</td>\n",
 
+       "      <td>83</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>h</th>\n",
 
-       "      <td>124</td>\n",
 
-       "      <td>39</td>\n",
 
-       "      <td>10</td>\n",
 
+       "      <td>h</td>\n",
 
+       "      <td>70</td>\n",
 
+       "      <td>31</td>\n",
 
+       "      <td>134</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>i</th>\n",
 
-       "      <td>80</td>\n",
 
-       "      <td>35</td>\n",
 
-       "      <td>17</td>\n",
 
+       "      <td>i</td>\n",
 
+       "      <td>132</td>\n",
 
+       "      <td>51</td>\n",
 
+       "      <td>115</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>j</th>\n",
 
-       "      <td>68</td>\n",
 
-       "      <td>99</td>\n",
 
-       "      <td>31</td>\n",
 
+       "      <td>j</td>\n",
 
+       "      <td>95</td>\n",
 
+       "      <td>143</td>\n",
 
+       "      <td>111</td>\n",
 
        "    </tr>\n",
 
        "    <tr>\n",
 
-       "      <th>k</th>\n",
 
-       "      <td>74</td>\n",
 
-       "      <td>12</td>\n",
 
-       "      <td>11</td>\n",
 
+       "      <td>k</td>\n",
 
+       "      <td>66</td>\n",
 
+       "      <td>94</td>\n",
 
+       "      <td>7</td>\n",
 
        "    </tr>\n",
 
        "  </tbody>\n",
 
        "</table>\n",
 
@@ -303,19 +293,19 @@
 
       ],
 
       "text/plain": [
 
        "   Python   En  Math\n",
 
-       "a     113  116    75\n",
 
-       "b      19  145    23\n",
 
-       "c      57  107   113\n",
 
-       "d      95    3    66\n",
 
-       "e      28  121   120\n",
 
-       "f     141   85   132\n",
 
-       "h     124   39    10\n",
 
-       "i      80   35    17\n",
 
-       "j      68   99    31\n",
 
-       "k      74   12    11"
 
+       "a     109  120    23\n",
 
+       "b      54   39    54\n",
 
+       "c      97   22   106\n",
 
+       "d      21   96     3\n",
 
+       "e      23  145   147\n",
 
+       "f      80   62    83\n",
 
+       "h      70   31   134\n",
 
+       "i     132   51   115\n",
 
+       "j      95  143   111\n",
 
+       "k      66   94     7"
 
       ]
 
      },
 
-     "execution_count": 12,
 
+     "execution_count": 21,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
@@ -324,7 +314,7 @@
 
     "# DataFrame是二维的数据\n",
 
     "# excel就非常相似\n",
 
     "# 所有进行数据分析，数据挖掘的工具最基础的结果：行和列，行表示样本，列表示的是属性\n",
 
-    "df = DataFrame(data = np.random.randint(0,150,size = (10,3)),index = list('abcdefhijk'),columns=['Python','En','Math'])\n",
 
+    "df = DataFrame(data=np.random.randint(0, 150, size=(10, 3)), index=list('abcdefhijk'), columns=['Python', 'En', 'Math'])\n",
 
     "df"
 
    ]
 
   },
 
@@ -553,7 +543,7 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 19,
 
+   "execution_count": 22,
 
    "metadata": {
 
     "scrolled": true
 
    },
 
@@ -561,50 +551,57 @@
 
     {
 
      "data": {
 
       "text/plain": [
 
-       "Python    79.9\n",
 
-       "En        76.2\n",
 
-       "Math      59.8\n",
 
+       "Python    74.7\n",
 
+       "En        80.3\n",
 
+       "Math      78.3\n",
 
        "dtype: float64"
 
       ]
 
      },
 
-     "execution_count": 19,
 
+     "execution_count": 22,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
    ],
 
    "source": [
 
-    "df.mean(axis = 0)"
 
+    "df.mean(axis=0)"
 
    ]
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 20,
 
+   "execution_count": 23,
 
    "metadata": {},
 
    "outputs": [
 
     {
 
      "data": {
 
       "text/plain": [
 
-       "a    101.333333\n",
 
-       "b     62.333333\n",
 
-       "c     92.333333\n",
 
-       "d     54.666667\n",
 
-       "e     89.666667\n",
 
-       "f    119.333333\n",
 
-       "h     57.666667\n",
 
-       "i     44.000000\n",
 
-       "j     66.000000\n",
 
-       "k     32.333333\n",
 
+       "a     84.000000\n",
 
+       "b     49.000000\n",
 
+       "c     75.000000\n",
 
+       "d     40.000000\n",
 
+       "e    105.000000\n",
 
+       "f     75.000000\n",
 
+       "h     78.333333\n",
 
+       "i     99.333333\n",
 
+       "j    116.333333\n",
 
+       "k     55.666667\n",
 
        "dtype: float64"
 
       ]
 
      },
 
-     "execution_count": 20,
 
+     "execution_count": 23,
 
      "metadata": {},
 
      "output_type": "execute_result"
 
     }
 
    ],
 
    "source": [
 
-    "df.mean(axis = 1)"
 
+    "df.mean(axis=1)"
 
    ]
 
+  },
 
+  {
 
+   "cell_type": "code",
 
+   "execution_count": null,
 
+   "metadata": {},
 
+   "outputs": [],
 
+   "source": []
 
   }
 
  ],
 
  "metadata": {
 
@@ -623,7 +620,7 @@
 
    "name": "python",
 
    "nbconvert_exporter": "python",
 
    "pygments_lexer": "ipython3",
 
-   "version": "3.7.3"
 
+   "version": "3.7.7"
 
   }
 
  },
 
  "nbformat": 4,

File diff ditekan karena terlalu besar
+ 91 - 1801
Day76-90/code/2-pandas-索引.ipynb


File diff ditekan karena terlalu besar
+ 19 - 1295
Day76-90/code/3-pandas数据清洗之空数据.ipynb


+ 11 - 85
Day76-90/code/4-pandas多层索引.ipynb
Tampilan Berkas 

@@ -82,95 +82,21 @@
 
   },
 
   {
 
    "cell_type": "code",
 
-   "execution_count": 4,
 
+   "execution_count": 1,
 
    "metadata": {
 
     "scrolled": true
 
    },
 
    "outputs": [
 
     {
 
-     "data": {
 
-      "text/html": [
 
-       "<div>\n",
 
-       "<style scoped>\n",
 
-       "    .dataframe tbody tr th:only-of-type {\n",
 
-       "        vertical-align: middle;\n",
 
-       "    }\n",
 
-       "\n",
 
-       "    .dataframe tbody tr th {\n",
 
-       "        vertical-align: top;\n",
 
-       "    }\n",
 
-       "\n",
 
-       "    .dataframe thead th {\n",
 
-       "        text-align: right;\n",
 
-       "    }\n",
 
-       "</style>\n",
 
-       "<table border=\"1\" class=\"dataframe\">\n",
 
-       "  <thead>\n",
 
-       "    <tr style=\"text-align: right;\">\n",
 
-       "      <th></th>\n",
 
-       "      <th></th>\n",
 
-       "      <th>Python</th>\n",
 
-       "      <th>En</th>\n",
 
-       "      <th>Math</th>\n",
 
-       "    </tr>\n",
 
-       "  </thead>\n",
 
-       "  <tbody>\n",
 
-       "    <tr>\n",
 
-       "      <th rowspan=\"2\" valign=\"top\">张三</th>\n",
 
-       "      <th>期中</th>\n",
 
-       "      <td>73</td>\n",
 
-       "      <td>5</td>\n",
 
-       "      <td>25</td>\n",
 
-       "    </tr>\n",
 
-       "    <tr>\n",
 
-       "      <th>期末</th>\n",
 
-       "      <td>37</td>\n",
 
-       "      <td>36</td>\n",
 
-       "      <td>56</td>\n",
 
-       "    </tr>\n",
 
-       "    <tr>\n",
 
-       "      <th rowspan=\"2\" valign=\"top\">李四</th>\n",
 
-       "      <th>期中</th>\n",
 
-       "      <td>149</td>\n",
 
-       "      <td>81</td>\n",
 
-       "      <td>142</td>\n",
 
-       "    </tr>\n",
 
-       "    <tr>\n",
 
-       "      <th>期末</th>\n",
 
-       "      <td>71</td>\n",
 
-       "      <td>138</td>\n",
 
-       "      <td>0</td>\n",
 
-       "    </tr>\n",
 
-       "    <tr>\n",
 
-       "      <th rowspan=\"2\" valign=\"top\">王五</th>\n",
 
-       "      <th>期中</th>\n",
 
-       "      <td>11</td>\n",
 
-       "      <td>94</td>\n",
 
-       "      <td>103</td>\n",
 
-       "    </tr>\n",
 
-       "    <tr>\n",
 
-       "      <th>期末</th>\n",
 
-       "      <td>25</td>\n",
 
-       "      <td>121</td>\n",
 
-       "      <td>83</td>\n",
 
-       "    </tr>\n",
 
-       "  </tbody>\n",
 
-       "</table>\n",
 
-       "</div>"
 
-      ],
 
-      "text/plain": [
 
-       "       Python   En  Math\n",
 
-       "张三 期中      73    5    25\n",
 
-       "   期末      37   36    56\n",
 
-       "李四 期中     149   81   142\n",
 
-       "   期末      71  138     0\n",
 
-       "王五 期中      11   94   103\n",
 
-       "   期末      25  121    83"
 
-      ]
 
-     },
 
-     "execution_count": 4,
 
-     "metadata": {},
 
-     "output_type": "execute_result"
 
+     "ename": "NameError",
 
+     "evalue": "name 'DataFrame' is not defined",
 
+     "output_type": "error",
 
+     "traceback": [
 
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
 
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
 
+      "\u001b[0;32m<ipython-input-1-25f058890288>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m150\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0msize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Python'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'En'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'Math'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMultiIndex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_product\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'张三'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'李四'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'王五'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'期中'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'期末'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
 
+      "\u001b[0;31mNameError\u001b[0m: name 'DataFrame' is not defined"
 
+     ]
 
     }
 
    ],
 
    "source": [
 
@@ -560,7 +486,7 @@
 
    "name": "python",
 
    "nbconvert_exporter": "python",
 
    "pygments_lexer": "ipython3",
 
-   "version": "3.6.5"
 
+   "version": "3.7.7"
 
   }
 
  },
 
  "nbformat": 4,

+ 1 - 1
Day76-90/code/5-pandas多层索引计算.ipynb
Tampilan Berkas 

@@ -992,7 +992,7 @@
 
    "name": "python",
 
    "nbconvert_exporter": "python",
 
    "pygments_lexer": "ipython3",
 
-   "version": "3.6.5"
 
+   "version": "3.7.7"
 
   }
 
  },
 
  "nbformat": 4,

+ 1 - 1
Day76-90/code/6-pandas数据集成.ipynb
Tampilan Berkas 

@@ -1201,7 +1201,7 @@
 
    "name": "python",
 
    "nbconvert_exporter": "python",
 
    "pygments_lexer": "ipython3",
 
-   "version": "3.6.5"
 
+   "version": "3.7.7"
 
   }
 
  },
 
  "nbformat": 4,

+ 1 - 1
Day76-90/code/7-pandas数据集成merge.ipynb
Tampilan Berkas 

@@ -1264,7 +1264,7 @@
 
    "name": "python",
 
    "nbconvert_exporter": "python",
 
    "pygments_lexer": "ipython3",
 
-   "version": "3.6.5"
 
+   "version": "3.7.7"
 
   }
 
  },
 
  "nbformat": 4,

+ 1 - 1
Day76-90/code/8-pandas分组聚合操作.ipynb
Tampilan Berkas 

@@ -869,7 +869,7 @@
 
    "name": "python",
 
    "nbconvert_exporter": "python",
 
    "pygments_lexer": "ipython3",
 
-   "version": "3.6.5"
 
+   "version": "3.7.7"
 
   }
 
  },
 
  "nbformat": 4,

Beberapa file tidak ditampilkan karena terlalu banyak file yang berubah dalam diff ini