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xavierzho · Nov 18, 2020 · bf17528 · bf17528
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diff --git a/.gitattributes b/.gitattributes
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+/pydata-book-2nd-edition/datasets/* filter=lfs diff=lfs merge=lfs -text
diff --git a/.gitignore b/.gitignore
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+# created by virtualenv automatically
+/.vscode/
+/.idea/
+/__pycache__/*
diff --git a/Libary/jupyter/jupyter b/Libary/jupyter/jupyter
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+Jupyter
+1)web版本的ipython
+2)编程，写文档，记笔记，数据展示
+3).ipynb JSON文档格式
+4)为什么使用要使用Jupyter NoteBook？
+    交互式画图
diff --git a/Libary/matplotlib/pie_demo.ipynb b/Libary/matplotlib/pie_demo.ipynb
@@ -0,0 +1,116 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "              Country_code      Country WHO_region  New_cases  \\\nDate_reported                                                   \n2020-02-24              AF  Afghanistan       EMRO          5   \n2020-02-25              AF  Afghanistan       EMRO          0   \n2020-02-26              AF  Afghanistan       EMRO          0   \n2020-02-27              AF  Afghanistan       EMRO          0   \n2020-02-28              AF  Afghanistan       EMRO          0   \n\n               Cumulative_cases  New_deaths  Cumulative_deaths  \nDate_reported                                                   \n2020-02-24                    5           0                  0  \n2020-02-25                    5           0                  0  \n2020-02-26                    5           0                  0  \n2020-02-27                    5           0                  0  \n2020-02-28                    5           0                  0  ",
+      "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>Country_code</th>\n      <th>Country</th>\n      <th>WHO_region</th>\n      <th>New_cases</th>\n      <th>Cumulative_cases</th>\n      <th>New_deaths</th>\n      <th>Cumulative_deaths</th>\n    </tr>\n    <tr>\n      <th>Date_reported</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2020-02-24</th>\n      <td>AF</td>\n      <td>Afghanistan</td>\n      <td>EMRO</td>\n      <td>5</td>\n      <td>5</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2020-02-25</th>\n      <td>AF</td>\n      <td>Afghanistan</td>\n      <td>EMRO</td>\n      <td>0</td>\n      <td>5</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2020-02-26</th>\n      <td>AF</td>\n      <td>Afghanistan</td>\n      <td>EMRO</td>\n      <td>0</td>\n      <td>5</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2020-02-27</th>\n      <td>AF</td>\n      <td>Afghanistan</td>\n      <td>EMRO</td>\n      <td>0</td>\n      <td>5</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2020-02-28</th>\n      <td>AF</td>\n      <td>Afghanistan</td>\n      <td>EMRO</td>\n      <td>0</td>\n      <td>5</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "path = r'c:/Users/jonescy/Downloads/WHO-COVID-19-global-data.csv'\n",
+    "df = pd.read_csv(path,index_col='Date_reported')\n",
+    "df.head()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x00000285EB0EE348>"
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = df.groupby('Country')\n",
+    "\n",
+    "data"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'DataFrameGroupBy' object has no attribute 'index'",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[1;31mAttributeError\u001B[0m                            Traceback (most recent call last)",
+      "\u001B[1;32m<ipython-input-44-ce6f732eaab9>\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[1;32m----> 1\u001B[1;33m \u001B[0mdata\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mindex\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m      2\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
+      "\u001B[1;32mc:\\users\\jonescy\\onedrive\\文档\\pycharmprojects\\dataanalysis\\lib\\site-packages\\pandas\\core\\groupby\\groupby.py\u001B[0m in \u001B[0;36m__getattr__\u001B[1;34m(self, attr)\u001B[0m\n\u001B[0;32m    702\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    703\u001B[0m         raise AttributeError(\n\u001B[1;32m--> 704\u001B[1;33m             \u001B[1;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    705\u001B[0m         )\n\u001B[0;32m    706\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
+      "\u001B[1;31mAttributeError\u001B[0m: 'DataFrameGroupBy' object has no attribute 'index'"
+     ]
+    }
+   ],
+   "source": [
+    "data.index\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
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		/pydata-book-2nd-edition/datasets/* filter=lfs diff=lfs merge=lfs -text