diff --git "a/GDP/.ipynb_checkpoints/\345\220\204\345\233\275GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226-checkpoint.ipynb" "b/GDP/.ipynb_checkpoints/\345\220\204\345\233\275GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226-checkpoint.ipynb"
deleted file mode 100644
index e451353..0000000
--- "a/GDP/.ipynb_checkpoints/\345\220\204\345\233\275GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226-checkpoint.ipynb"
+++ /dev/null
@@ -1,1525 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# 各国GDP数据可视化\n",
- "\n",
- "# 数据来自世界银行"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### 导入资源包，如下：\n",
- "### Pandas, numpy, seaborn 和 matplotlib\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 67,
- "metadata": {},
- "outputs": [],
- "source": [
- "import pandas as pd\n",
- "import numpy as np\n",
- "import matplotlib.pyplot as plt\n",
- "import seaborn as sns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 69,
- "metadata": {},
- "outputs": [],
- "source": [
- "Country_GDP= pd.read_csv(\"Country_GDP.csv\",sep=\";\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 178,
- "metadata": {},
- "outputs": [],
- "source": [
- "df = pd.DataFrame(Country_GDP)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 179,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Index(['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code',\n",
- " '1960', '1961', '1962', '1963', '1964', '1965', '1966', '1967', '1968',\n",
- " '1969', '1970', '1971', '1972', '1973', '1974', '1975', '1976', '1977',\n",
- " '1978', '1979', '1980', '1981', '1982', '1983', '1984', '1985', '1986',\n",
- " '1987', '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995',\n",
- " '1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004',\n",
- " '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013',\n",
- " '2014', '2015', '2016', '2017', '2018', '2019', 'Unnamed: 64',\n",
- " 'increaseRate2013-2018'],\n",
- " dtype='object')"
- ]
- },
- "execution_count": 179,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "Country_GDP.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 111,
- "metadata": {},
- "outputs": [],
- "source": [
- "df['increaseRate2013-2018'] = (df[\"2018\"] - df[\"1978\"])/df[\"1990\"] *100\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 143,
- "metadata": {},
- "outputs": [],
- "source": [
- "#df2 = df.sort_values(by='increaseRate2013-2018',ascending=True)\n",
- "#DataFrame.sort_values(by=‘##’,axis=0,ascending=True, inplace=False, na_position=‘last’)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 144,
- "metadata": {},
- "outputs": [
- {
- "ename": "SyntaxError",
- "evalue": "keyword can't be an expression (<ipython-input-144-7aac8fac96e5>, line 2)",
- "output_type": "error",
- "traceback": [
- "\u001b[0;36m File \u001b[0;32m\"<ipython-input-144-7aac8fac96e5>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m sns.barplot(df2['increaseRate2013-2018'], horiz=TRUE,names.arg=df2['Country Name'])\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m keyword can't be an expression\n"
- ]
- }
- ],
- "source": [
- "plt.figure(figsize=(300,30))\n",
- "sns.barplot(df2['increaseRate2013-2018'], horiz=TRUE,names.arg=df2['Country Name'])\n",
- "\n",
- "#barplot(counts, main=\"Car Distribution\", horiz=TRUE,names.arg=c(\"3 Gears\", \"4 Gears\", \"5 Gears\"))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 145,
- "metadata": {},
- "outputs": [],
- "source": [
- "pd.set_option('display.max_rows',20)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 146,
- "metadata": {},
- "outputs": [],
- "source": [
- "#sns.plot.barh(df2['increaseRate2013-2018'],df2['Country Name'])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 190,
- "metadata": {},
- "outputs": [],
- "source": [
- "#plt.figure(figsize=(100,30))\n",
- "\n",
- "#data=df.iloc[0:25,]\n",
- "#sns.barplot(x='2005', y='Country Name',data=df.iloc[0:20,], orient='h')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 231,
- "metadata": {},
- "outputs": [],
- "source": [
- "df=df.drop(df[df['Country Name']==\"World\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"High income\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"OECD members\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Post-demographic dividend\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Europe & Central Asia\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"European Union\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"IBRD only\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Middle income\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Low & middle income\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"IDA & IBRD total\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Post-demographic dividend\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Late-demographic dividend\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Upper middle income\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Late-demographic dividend\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"North America\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"East Asia & Pacific\"].index,axis=0)\n",
- "\n",
- "df=df.drop(df[df['Country Name']==\"Euro area\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Early-demographic dividend\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"East Asia & Pacific (excluding high income)\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"East Asia & Pacific (IDA & IBRD countries)\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Late-demographic dividend\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Latin America & Caribbean\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Latin America & the Caribbean (IDA & IBRD coun...\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Latin America & Caribbean (excluding high income)\"].index,axis=0)\n",
- "\n",
- "\n",
- "df=df.drop(df[df['Country Name']==\"Lower middle income\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Latin America & the Caribbean (IDA & IBRD coun...\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Europe & Central Asia (IDA & IBRD countries)\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Middle East & North Africa\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"South Asia (IDA & IBRD)\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Europe & Central Asia (excluding high income)\t\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Name']==\"Arab World\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"TLA\"].index,axis=0)\n",
- "\n",
- "\n",
- "\n",
- "df=df.drop(df[df['Country Code']==\"ECA\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"SAS\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"ECA\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"IDA\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"SSF\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"TSS\"].index,axis=0)\n",
- "\n",
- "df=df.drop(df[df['Country Code']==\"SSA\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"CEB\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"PRE\"].index,axis=0)\n",
- "\n",
- "\n",
- "df=df.drop(df[df['Country Code']==\"LDC\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"IDB\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"IDX\"].index,axis=0)\n",
- "\n",
- "df=df.drop(df[df['Country Code']==\"FCS\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"IDB\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"HPC\"].index,axis=0)\n",
- "\n",
- "df=df.drop(df[df['Country Code']==\"OSS\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"SST\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"LIC\"].index,axis=0)\n",
- "\n",
- "\n",
- "df=df.drop(df[df['Country Code']==\"MNA\"].index,axis=0)\n",
- "df=df.drop(df[df['Country Code']==\"TMN\"].index,axis=0)\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 232,
- "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>Country Name</th>\n",
- " <th>Country Code</th>\n",
- " <th>Indicator Name</th>\n",
- " <th>Indicator Code</th>\n",
- " <th>1960</th>\n",
- " <th>1961</th>\n",
- " <th>1962</th>\n",
- " <th>1963</th>\n",
- " <th>1964</th>\n",
- " <th>1965</th>\n",
- " <th>...</th>\n",
- " <th>2012</th>\n",
- " <th>2013</th>\n",
- " <th>2014</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>Unnamed: 64</th>\n",
- " <th>increaseRate2013-2018</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>249</th>\n",
- " <td>United States</td>\n",
- " <td>USA</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>5.433000e+11</td>\n",
- " <td>5.633000e+11</td>\n",
- " <td>6.051000e+11</td>\n",
- " <td>6.386000e+11</td>\n",
- " <td>6.858000e+11</td>\n",
- " <td>7.437000e+11</td>\n",
- " <td>...</td>\n",
- " <td>1.619701e+13</td>\n",
- " <td>1.678485e+13</td>\n",
- " <td>1.752175e+13</td>\n",
- " <td>1.821930e+13</td>\n",
- " <td>1.870719e+13</td>\n",
- " <td>1.948539e+13</td>\n",
- " <td>2.049410e+13</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>771.496373</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>117</th>\n",
- " <td>Japan</td>\n",
- " <td>JPN</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>4.430734e+10</td>\n",
- " <td>5.350862e+10</td>\n",
- " <td>6.072302e+10</td>\n",
- " <td>6.949813e+10</td>\n",
- " <td>8.174901e+10</td>\n",
- " <td>9.095028e+10</td>\n",
- " <td>...</td>\n",
- " <td>6.203213e+12</td>\n",
- " <td>5.155717e+12</td>\n",
- " <td>4.850414e+12</td>\n",
- " <td>4.389476e+12</td>\n",
- " <td>4.926667e+12</td>\n",
- " <td>4.859951e+12</td>\n",
- " <td>4.970916e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>390.415929</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>Germany</td>\n",
- " <td>DEU</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>3.543984e+12</td>\n",
- " <td>3.752514e+12</td>\n",
- " <td>3.898727e+12</td>\n",
- " <td>3.381389e+12</td>\n",
- " <td>3.495163e+12</td>\n",
- " <td>3.693204e+12</td>\n",
- " <td>3.996759e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>441.809779</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>79</th>\n",
- " <td>United Kingdom</td>\n",
- " <td>GBR</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>7.232805e+10</td>\n",
- " <td>7.669436e+10</td>\n",
- " <td>8.060194e+10</td>\n",
- " <td>8.544377e+10</td>\n",
- " <td>9.338760e+10</td>\n",
- " <td>1.005958e+11</td>\n",
- " <td>...</td>\n",
- " <td>2.676605e+12</td>\n",
- " <td>2.753565e+12</td>\n",
- " <td>3.034729e+12</td>\n",
- " <td>2.896421e+12</td>\n",
- " <td>2.659239e+12</td>\n",
- " <td>2.637866e+12</td>\n",
- " <td>2.825208e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>741.128517</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>75</th>\n",
- " <td>France</td>\n",
- " <td>FRA</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>6.265147e+10</td>\n",
- " <td>6.834674e+10</td>\n",
- " <td>7.631378e+10</td>\n",
- " <td>8.555111e+10</td>\n",
- " <td>9.490659e+10</td>\n",
- " <td>1.021606e+11</td>\n",
- " <td>...</td>\n",
- " <td>2.683825e+12</td>\n",
- " <td>2.811078e+12</td>\n",
- " <td>2.852166e+12</td>\n",
- " <td>2.438208e+12</td>\n",
- " <td>2.471286e+12</td>\n",
- " <td>2.586285e+12</td>\n",
- " <td>2.777535e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>448.153190</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>China</td>\n",
- " <td>CHN</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>5.971647e+10</td>\n",
- " <td>5.005687e+10</td>\n",
- " <td>4.720936e+10</td>\n",
- " <td>5.070680e+10</td>\n",
- " <td>5.970834e+10</td>\n",
- " <td>7.043627e+10</td>\n",
- " <td>...</td>\n",
- " <td>8.532231e+12</td>\n",
- " <td>9.570406e+12</td>\n",
- " <td>1.043853e+13</td>\n",
- " <td>1.101554e+13</td>\n",
- " <td>1.113795e+13</td>\n",
- " <td>1.214349e+13</td>\n",
- " <td>1.360815e+13</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8999.962122</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>114</th>\n",
- " <td>Italy</td>\n",
- " <td>ITA</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>4.038529e+10</td>\n",
- " <td>4.484276e+10</td>\n",
- " <td>5.038389e+10</td>\n",
- " <td>5.771074e+10</td>\n",
- " <td>6.317542e+10</td>\n",
- " <td>6.797815e+10</td>\n",
- " <td>...</td>\n",
- " <td>2.072823e+12</td>\n",
- " <td>2.130491e+12</td>\n",
- " <td>2.151733e+12</td>\n",
- " <td>1.832273e+12</td>\n",
- " <td>1.869202e+12</td>\n",
- " <td>1.946570e+12</td>\n",
- " <td>2.073902e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>560.438213</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>Canada</td>\n",
- " <td>CAN</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>NaN</td>\n",
- " <td>4.155599e+10</td>\n",
- " <td>4.286809e+10</td>\n",
- " <td>4.571315e+10</td>\n",
- " <td>5.012664e+10</td>\n",
- " <td>5.534224e+10</td>\n",
- " <td>...</td>\n",
- " <td>1.823967e+12</td>\n",
- " <td>1.842018e+12</td>\n",
- " <td>1.801480e+12</td>\n",
- " <td>1.552900e+12</td>\n",
- " <td>1.526706e+12</td>\n",
- " <td>1.646867e+12</td>\n",
- " <td>1.712510e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>683.281146</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>152</th>\n",
- " <td>Mexico</td>\n",
- " <td>MEX</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>1.304000e+10</td>\n",
- " <td>1.416000e+10</td>\n",
- " <td>1.520000e+10</td>\n",
- " <td>1.696000e+10</td>\n",
- " <td>2.008000e+10</td>\n",
- " <td>2.184000e+10</td>\n",
- " <td>...</td>\n",
- " <td>1.201090e+12</td>\n",
- " <td>1.274443e+12</td>\n",
- " <td>1.314564e+12</td>\n",
- " <td>1.170565e+12</td>\n",
- " <td>1.077828e+12</td>\n",
- " <td>1.158071e+12</td>\n",
- " <td>1.223809e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1093.959888</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>Brazil</td>\n",
- " <td>BRA</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>1.516557e+10</td>\n",
- " <td>1.523685e+10</td>\n",
- " <td>1.992629e+10</td>\n",
- " <td>2.302148e+10</td>\n",
- " <td>2.121189e+10</td>\n",
- " <td>2.179004e+10</td>\n",
- " <td>...</td>\n",
- " <td>2.465189e+12</td>\n",
- " <td>2.472806e+12</td>\n",
- " <td>2.455994e+12</td>\n",
- " <td>1.802214e+12</td>\n",
- " <td>1.796275e+12</td>\n",
- " <td>2.053595e+12</td>\n",
- " <td>1.868626e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>830.586548</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>68</th>\n",
- " <td>Spain</td>\n",
- " <td>ESP</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>1.207213e+10</td>\n",
- " <td>1.383430e+10</td>\n",
- " <td>1.613855e+10</td>\n",
- " <td>1.907491e+10</td>\n",
- " <td>2.134384e+10</td>\n",
- " <td>2.475696e+10</td>\n",
- " <td>...</td>\n",
- " <td>1.336019e+12</td>\n",
- " <td>1.361854e+12</td>\n",
- " <td>1.376911e+12</td>\n",
- " <td>1.199084e+12</td>\n",
- " <td>1.237499e+12</td>\n",
- " <td>1.314314e+12</td>\n",
- " <td>1.426189e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>790.458368</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>124</th>\n",
- " <td>Korea, Rep.</td>\n",
- " <td>KOR</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>3.957240e+09</td>\n",
- " <td>2.417638e+09</td>\n",
- " <td>2.813857e+09</td>\n",
- " <td>3.988477e+09</td>\n",
- " <td>3.458565e+09</td>\n",
- " <td>3.120495e+09</td>\n",
- " <td>...</td>\n",
- " <td>1.222807e+12</td>\n",
- " <td>1.305605e+12</td>\n",
- " <td>1.411334e+12</td>\n",
- " <td>1.382764e+12</td>\n",
- " <td>1.414804e+12</td>\n",
- " <td>1.530751e+12</td>\n",
- " <td>1.619424e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>3032.310031</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>107</th>\n",
- " <td>India</td>\n",
- " <td>IND</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>3.702988e+10</td>\n",
- " <td>3.923244e+10</td>\n",
- " <td>4.216148e+10</td>\n",
- " <td>4.842192e+10</td>\n",
- " <td>5.648029e+10</td>\n",
- " <td>5.955486e+10</td>\n",
- " <td>...</td>\n",
- " <td>1.827638e+12</td>\n",
- " <td>1.856722e+12</td>\n",
- " <td>2.039127e+12</td>\n",
- " <td>2.103588e+12</td>\n",
- " <td>2.290432e+12</td>\n",
- " <td>2.652551e+12</td>\n",
- " <td>2.726323e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1885.664011</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>174</th>\n",
- " <td>Netherlands</td>\n",
- " <td>NLD</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>1.227673e+10</td>\n",
- " <td>1.349383e+10</td>\n",
- " <td>1.464706e+10</td>\n",
- " <td>1.589124e+10</td>\n",
- " <td>1.869938e+10</td>\n",
- " <td>2.100059e+10</td>\n",
- " <td>...</td>\n",
- " <td>8.389713e+11</td>\n",
- " <td>8.769235e+11</td>\n",
- " <td>8.909813e+11</td>\n",
- " <td>7.652649e+11</td>\n",
- " <td>7.835282e+11</td>\n",
- " <td>8.318099e+11</td>\n",
- " <td>9.136585e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>486.205729</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>Australia</td>\n",
- " <td>AUS</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>1.857767e+10</td>\n",
- " <td>1.965394e+10</td>\n",
- " <td>1.989249e+10</td>\n",
- " <td>2.150745e+10</td>\n",
- " <td>2.376414e+10</td>\n",
- " <td>2.593795e+10</td>\n",
- " <td>...</td>\n",
- " <td>1.546152e+12</td>\n",
- " <td>1.576184e+12</td>\n",
- " <td>1.467484e+12</td>\n",
- " <td>1.351520e+12</td>\n",
- " <td>1.210028e+12</td>\n",
- " <td>1.330803e+12</td>\n",
- " <td>1.432195e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1110.240417</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>Argentina</td>\n",
- " <td>ARG</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>2.445060e+10</td>\n",
- " <td>1.827212e+10</td>\n",
- " <td>2.560525e+10</td>\n",
- " <td>2.834471e+10</td>\n",
- " <td>...</td>\n",
- " <td>5.459824e+11</td>\n",
- " <td>5.520251e+11</td>\n",
- " <td>5.263197e+11</td>\n",
- " <td>5.947493e+11</td>\n",
- " <td>5.575314e+11</td>\n",
- " <td>6.426959e+11</td>\n",
- " <td>5.184751e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>792.647234</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>242</th>\n",
- " <td>Turkey</td>\n",
- " <td>TUR</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>1.399507e+10</td>\n",
- " <td>7.988889e+09</td>\n",
- " <td>8.922222e+09</td>\n",
- " <td>1.035556e+10</td>\n",
- " <td>1.117778e+10</td>\n",
- " <td>1.196667e+10</td>\n",
- " <td>...</td>\n",
- " <td>8.739822e+11</td>\n",
- " <td>9.505794e+11</td>\n",
- " <td>9.341859e+11</td>\n",
- " <td>8.597969e+11</td>\n",
- " <td>8.637216e+11</td>\n",
- " <td>8.515492e+11</td>\n",
- " <td>7.665091e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1076.583456</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>Switzerland</td>\n",
- " <td>CHE</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>9.522747e+09</td>\n",
- " <td>1.071271e+10</td>\n",
- " <td>1.187998e+10</td>\n",
- " <td>1.306364e+10</td>\n",
- " <td>1.448056e+10</td>\n",
- " <td>1.534674e+10</td>\n",
- " <td>...</td>\n",
- " <td>6.680436e+11</td>\n",
- " <td>6.885042e+11</td>\n",
- " <td>7.091826e+11</td>\n",
- " <td>6.798323e+11</td>\n",
- " <td>6.701811e+11</td>\n",
- " <td>6.789654e+11</td>\n",
- " <td>7.055013e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>221</th>\n",
- " <td>Sweden</td>\n",
- " <td>SWE</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>1.484287e+10</td>\n",
- " <td>1.614716e+10</td>\n",
- " <td>1.751148e+10</td>\n",
- " <td>1.895413e+10</td>\n",
- " <td>2.113724e+10</td>\n",
- " <td>2.326032e+10</td>\n",
- " <td>...</td>\n",
- " <td>5.444815e+11</td>\n",
- " <td>5.793607e+11</td>\n",
- " <td>5.744131e+11</td>\n",
- " <td>4.981176e+11</td>\n",
- " <td>5.122052e+11</td>\n",
- " <td>5.356074e+11</td>\n",
- " <td>5.510317e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>434.541359</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>200</th>\n",
- " <td>Russian Federation</td>\n",
- " <td>RUS</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>2.210257e+12</td>\n",
- " <td>2.297128e+12</td>\n",
- " <td>2.059984e+12</td>\n",
- " <td>1.363594e+12</td>\n",
- " <td>1.282724e+12</td>\n",
- " <td>1.578624e+12</td>\n",
- " <td>1.657554e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>Belgium</td>\n",
- " <td>BEL</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>1.165872e+10</td>\n",
- " <td>1.240015e+10</td>\n",
- " <td>1.326402e+10</td>\n",
- " <td>1.426002e+10</td>\n",
- " <td>1.596011e+10</td>\n",
- " <td>1.737146e+10</td>\n",
- " <td>...</td>\n",
- " <td>4.978842e+11</td>\n",
- " <td>5.209255e+11</td>\n",
- " <td>5.308084e+11</td>\n",
- " <td>4.559403e+11</td>\n",
- " <td>4.696772e+11</td>\n",
- " <td>4.949017e+11</td>\n",
- " <td>5.317669e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>422.423521</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>Austria</td>\n",
- " <td>AUT</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>6.592694e+09</td>\n",
- " <td>7.311750e+09</td>\n",
- " <td>7.756110e+09</td>\n",
- " <td>8.374175e+09</td>\n",
- " <td>9.169984e+09</td>\n",
- " <td>9.994071e+09</td>\n",
- " <td>...</td>\n",
- " <td>4.094252e+11</td>\n",
- " <td>4.300687e+11</td>\n",
- " <td>4.419961e+11</td>\n",
- " <td>3.818057e+11</td>\n",
- " <td>3.940528e+11</td>\n",
- " <td>4.168360e+11</td>\n",
- " <td>4.557366e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>634.439955</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>203</th>\n",
- " <td>Saudi Arabia</td>\n",
- " <td>SAU</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>7.359748e+11</td>\n",
- " <td>7.466471e+11</td>\n",
- " <td>7.563503e+11</td>\n",
- " <td>6.542699e+11</td>\n",
- " <td>6.449355e+11</td>\n",
- " <td>6.885861e+11</td>\n",
- " <td>7.824835e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>874.867536</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>188</th>\n",
- " <td>Poland</td>\n",
- " <td>POL</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>5.003608e+11</td>\n",
- " <td>5.242343e+11</td>\n",
- " <td>5.453891e+11</td>\n",
- " <td>4.775774e+11</td>\n",
- " <td>4.720280e+11</td>\n",
- " <td>5.263710e+11</td>\n",
- " <td>5.857829e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>94</th>\n",
- " <td>Hong Kong SAR, China</td>\n",
- " <td>HKG</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>1.320797e+09</td>\n",
- " <td>1.383682e+09</td>\n",
- " <td>1.612346e+09</td>\n",
- " <td>1.935298e+09</td>\n",
- " <td>2.206466e+09</td>\n",
- " <td>2.435079e+09</td>\n",
- " <td>...</td>\n",
- " <td>2.626294e+11</td>\n",
- " <td>2.756969e+11</td>\n",
- " <td>2.914594e+11</td>\n",
- " <td>3.093836e+11</td>\n",
- " <td>3.208607e+11</td>\n",
- " <td>3.416481e+11</td>\n",
- " <td>3.629925e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1881.940436</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>175</th>\n",
- " <td>Norway</td>\n",
- " <td>NOR</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>5.163272e+09</td>\n",
- " <td>5.632461e+09</td>\n",
- " <td>6.066977e+09</td>\n",
- " <td>6.510240e+09</td>\n",
- " <td>7.159203e+09</td>\n",
- " <td>8.058681e+09</td>\n",
- " <td>...</td>\n",
- " <td>5.102291e+11</td>\n",
- " <td>5.235021e+11</td>\n",
- " <td>4.993385e+11</td>\n",
- " <td>3.866631e+11</td>\n",
- " <td>3.713448e+11</td>\n",
- " <td>3.994889e+11</td>\n",
- " <td>4.347509e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>834.484206</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>104</th>\n",
- " <td>Indonesia</td>\n",
- " <td>IDN</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>9.178699e+11</td>\n",
- " <td>9.125241e+11</td>\n",
- " <td>8.908148e+11</td>\n",
- " <td>8.608542e+11</td>\n",
- " <td>9.318774e+11</td>\n",
- " <td>1.015423e+12</td>\n",
- " <td>1.042173e+12</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1925.378945</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>56</th>\n",
- " <td>Denmark</td>\n",
- " <td>DNK</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>6.248947e+09</td>\n",
- " <td>6.933842e+09</td>\n",
- " <td>7.812968e+09</td>\n",
- " <td>8.316692e+09</td>\n",
- " <td>9.506679e+09</td>\n",
- " <td>1.067890e+10</td>\n",
- " <td>...</td>\n",
- " <td>3.271489e+11</td>\n",
- " <td>3.435844e+11</td>\n",
- " <td>3.529936e+11</td>\n",
- " <td>3.026731e+11</td>\n",
- " <td>3.119881e+11</td>\n",
- " <td>3.298656e+11</td>\n",
- " <td>3.520584e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>483.236102</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>261</th>\n",
- " <td>South Africa</td>\n",
- " <td>ZAF</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>7.575397e+09</td>\n",
- " <td>7.972997e+09</td>\n",
- " <td>8.497997e+09</td>\n",
- " <td>9.423396e+09</td>\n",
- " <td>1.037400e+10</td>\n",
- " <td>1.133440e+10</td>\n",
- " <td>...</td>\n",
- " <td>3.963294e+11</td>\n",
- " <td>3.666449e+11</td>\n",
- " <td>3.506376e+11</td>\n",
- " <td>3.174156e+11</td>\n",
- " <td>2.963409e+11</td>\n",
- " <td>3.492681e+11</td>\n",
- " <td>3.682882e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>687.960071</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>113</th>\n",
- " <td>Israel</td>\n",
- " <td>ISR</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>2.598500e+09</td>\n",
- " <td>3.138500e+09</td>\n",
- " <td>2.510000e+09</td>\n",
- " <td>2.992333e+09</td>\n",
- " <td>3.405333e+09</td>\n",
- " <td>3.663333e+09</td>\n",
- " <td>...</td>\n",
- " <td>2.574350e+11</td>\n",
- " <td>2.929170e+11</td>\n",
- " <td>3.100079e+11</td>\n",
- " <td>3.004708e+11</td>\n",
- " <td>3.193779e+11</td>\n",
- " <td>3.532684e+11</td>\n",
- " <td>3.696904e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>2098.098544</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>87</th>\n",
- " <td>Greece</td>\n",
- " <td>GRC</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>4.446528e+09</td>\n",
- " <td>5.016049e+09</td>\n",
- " <td>5.327574e+09</td>\n",
- " <td>5.949478e+09</td>\n",
- " <td>6.680298e+09</td>\n",
- " <td>7.600579e+09</td>\n",
- " <td>...</td>\n",
- " <td>2.456707e+11</td>\n",
- " <td>2.398620e+11</td>\n",
- " <td>2.370296e+11</td>\n",
- " <td>1.965914e+11</td>\n",
- " <td>1.952224e+11</td>\n",
- " <td>2.030856e+11</td>\n",
- " <td>2.180318e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>392.502471</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>231</th>\n",
- " <td>Thailand</td>\n",
- " <td>THA</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>2.760747e+09</td>\n",
- " <td>3.034044e+09</td>\n",
- " <td>3.308913e+09</td>\n",
- " <td>3.540403e+09</td>\n",
- " <td>3.889130e+09</td>\n",
- " <td>4.388938e+09</td>\n",
- " <td>...</td>\n",
- " <td>3.975581e+11</td>\n",
- " <td>4.203333e+11</td>\n",
- " <td>4.073394e+11</td>\n",
- " <td>4.012960e+11</td>\n",
- " <td>4.123528e+11</td>\n",
- " <td>4.552755e+11</td>\n",
- " <td>5.049928e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>2003.560625</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>73</th>\n",
- " <td>Finland</td>\n",
- " <td>FIN</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>5.224102e+09</td>\n",
- " <td>5.921659e+09</td>\n",
- " <td>6.340581e+09</td>\n",
- " <td>6.885920e+09</td>\n",
- " <td>7.766655e+09</td>\n",
- " <td>8.589340e+09</td>\n",
- " <td>...</td>\n",
- " <td>2.567065e+11</td>\n",
- " <td>2.699801e+11</td>\n",
- " <td>2.726093e+11</td>\n",
- " <td>2.328508e+11</td>\n",
- " <td>2.390095e+11</td>\n",
- " <td>2.523311e+11</td>\n",
- " <td>2.739610e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>655.065126</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>192</th>\n",
- " <td>Portugal</td>\n",
- " <td>PRT</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>3.193200e+09</td>\n",
- " <td>3.417517e+09</td>\n",
- " <td>3.668222e+09</td>\n",
- " <td>3.905734e+09</td>\n",
- " <td>4.235608e+09</td>\n",
- " <td>4.687464e+09</td>\n",
- " <td>...</td>\n",
- " <td>2.163682e+11</td>\n",
- " <td>2.260735e+11</td>\n",
- " <td>2.296298e+11</td>\n",
- " <td>1.994203e+11</td>\n",
- " <td>2.062757e+11</td>\n",
- " <td>2.193081e+11</td>\n",
- " <td>2.379789e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>913.110689</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>252</th>\n",
- " <td>Venezuela, RB</td>\n",
- " <td>VEN</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>7.779091e+09</td>\n",
- " <td>8.189091e+09</td>\n",
- " <td>8.946970e+09</td>\n",
- " <td>9.753333e+09</td>\n",
- " <td>8.099318e+09</td>\n",
- " <td>8.427778e+09</td>\n",
- " <td>...</td>\n",
- " <td>3.812862e+11</td>\n",
- " <td>3.710054e+11</td>\n",
- " <td>4.823593e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>110</th>\n",
- " <td>Iran, Islamic Rep.</td>\n",
- " <td>IRN</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>4.199134e+09</td>\n",
- " <td>4.426949e+09</td>\n",
- " <td>4.693566e+09</td>\n",
- " <td>4.928628e+09</td>\n",
- " <td>5.379846e+09</td>\n",
- " <td>6.197320e+09</td>\n",
- " <td>...</td>\n",
- " <td>5.988534e+11</td>\n",
- " <td>4.674149e+11</td>\n",
- " <td>4.344746e+11</td>\n",
- " <td>3.858745e+11</td>\n",
- " <td>4.189767e+11</td>\n",
- " <td>4.540128e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>United Arab Emirates</td>\n",
- " <td>ARE</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>3.745906e+11</td>\n",
- " <td>3.901076e+11</td>\n",
- " <td>4.031371e+11</td>\n",
- " <td>3.581351e+11</td>\n",
- " <td>3.570451e+11</td>\n",
- " <td>3.825751e+11</td>\n",
- " <td>4.141789e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1642.016435</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>Colombia</td>\n",
- " <td>COL</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>4.031153e+09</td>\n",
- " <td>4.540448e+09</td>\n",
- " <td>4.955544e+09</td>\n",
- " <td>4.836167e+09</td>\n",
- " <td>5.973367e+09</td>\n",
- " <td>5.760762e+09</td>\n",
- " <td>...</td>\n",
- " <td>3.705744e+11</td>\n",
- " <td>3.818666e+11</td>\n",
- " <td>3.811121e+11</td>\n",
- " <td>2.934817e+11</td>\n",
- " <td>2.828250e+11</td>\n",
- " <td>3.117899e+11</td>\n",
- " <td>3.302279e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1319.509947</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>109</th>\n",
- " <td>Ireland</td>\n",
- " <td>IRL</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>1.939330e+09</td>\n",
- " <td>2.088012e+09</td>\n",
- " <td>2.260350e+09</td>\n",
- " <td>2.430844e+09</td>\n",
- " <td>2.766609e+09</td>\n",
- " <td>2.945704e+09</td>\n",
- " <td>...</td>\n",
- " <td>2.249995e+11</td>\n",
- " <td>2.385435e+11</td>\n",
- " <td>2.584719e+11</td>\n",
- " <td>2.914998e+11</td>\n",
- " <td>3.005233e+11</td>\n",
- " <td>3.348340e+11</td>\n",
- " <td>3.824875e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>2508.069947</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>65</th>\n",
- " <td>Egypt, Arab Rep.</td>\n",
- " <td>EGY</td>\n",
- " <td>GDP (current US$)</td>\n",
- " <td>NY.GDP.MKTP.CD</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>4.948668e+09</td>\n",
- " <td>...</td>\n",
- " <td>2.793728e+11</td>\n",
- " <td>2.885862e+11</td>\n",
- " <td>3.055297e+11</td>\n",
- " <td>3.326980e+11</td>\n",
- " <td>3.329278e+11</td>\n",
- " <td>2.353691e+11</td>\n",
- " <td>2.508955e+11</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1593.900098</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>40 rows × 66 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Country Name Country Code Indicator Name Indicator Code \\\n",
- "249 United States USA GDP (current US$) NY.GDP.MKTP.CD \n",
- "117 Japan JPN GDP (current US$) NY.GDP.MKTP.CD \n",
- "53 Germany DEU GDP (current US$) NY.GDP.MKTP.CD \n",
- "79 United Kingdom GBR GDP (current US$) NY.GDP.MKTP.CD \n",
- "75 France FRA GDP (current US$) NY.GDP.MKTP.CD \n",
- "38 China CHN GDP (current US$) NY.GDP.MKTP.CD \n",
- "114 Italy ITA GDP (current US$) NY.GDP.MKTP.CD \n",
- "33 Canada CAN GDP (current US$) NY.GDP.MKTP.CD \n",
- "152 Mexico MEX GDP (current US$) NY.GDP.MKTP.CD \n",
- "27 Brazil BRA GDP (current US$) NY.GDP.MKTP.CD \n",
- "68 Spain ESP GDP (current US$) NY.GDP.MKTP.CD \n",
- "124 Korea, Rep. KOR GDP (current US$) NY.GDP.MKTP.CD \n",
- "107 India IND GDP (current US$) NY.GDP.MKTP.CD \n",
- "174 Netherlands NLD GDP (current US$) NY.GDP.MKTP.CD \n",
- "11 Australia AUS GDP (current US$) NY.GDP.MKTP.CD \n",
- "7 Argentina ARG GDP (current US$) NY.GDP.MKTP.CD \n",
- "242 Turkey TUR GDP (current US$) NY.GDP.MKTP.CD \n",
- "35 Switzerland CHE GDP (current US$) NY.GDP.MKTP.CD \n",
- "221 Sweden SWE GDP (current US$) NY.GDP.MKTP.CD \n",
- "200 Russian Federation RUS GDP (current US$) NY.GDP.MKTP.CD \n",
- "15 Belgium BEL GDP (current US$) NY.GDP.MKTP.CD \n",
- "12 Austria AUT GDP (current US$) NY.GDP.MKTP.CD \n",
- "203 Saudi Arabia SAU GDP (current US$) NY.GDP.MKTP.CD \n",
- "188 Poland POL GDP (current US$) NY.GDP.MKTP.CD \n",
- "94 Hong Kong SAR, China HKG GDP (current US$) NY.GDP.MKTP.CD \n",
- "175 Norway NOR GDP (current US$) NY.GDP.MKTP.CD \n",
- "104 Indonesia IDN GDP (current US$) NY.GDP.MKTP.CD \n",
- "56 Denmark DNK GDP (current US$) NY.GDP.MKTP.CD \n",
- "261 South Africa ZAF GDP (current US$) NY.GDP.MKTP.CD \n",
- "113 Israel ISR GDP (current US$) NY.GDP.MKTP.CD \n",
- "87 Greece GRC GDP (current US$) NY.GDP.MKTP.CD \n",
- "231 Thailand THA GDP (current US$) NY.GDP.MKTP.CD \n",
- "73 Finland FIN GDP (current US$) NY.GDP.MKTP.CD \n",
- "192 Portugal PRT GDP (current US$) NY.GDP.MKTP.CD \n",
- "252 Venezuela, RB VEN GDP (current US$) NY.GDP.MKTP.CD \n",
- "110 Iran, Islamic Rep. IRN GDP (current US$) NY.GDP.MKTP.CD \n",
- "6 United Arab Emirates ARE GDP (current US$) NY.GDP.MKTP.CD \n",
- "43 Colombia COL GDP (current US$) NY.GDP.MKTP.CD \n",
- "109 Ireland IRL GDP (current US$) NY.GDP.MKTP.CD \n",
- "65 Egypt, Arab Rep. EGY GDP (current US$) NY.GDP.MKTP.CD \n",
- "\n",
- " 1960 1961 1962 1963 1964 \\\n",
- "249 5.433000e+11 5.633000e+11 6.051000e+11 6.386000e+11 6.858000e+11 \n",
- "117 4.430734e+10 5.350862e+10 6.072302e+10 6.949813e+10 8.174901e+10 \n",
- "53 NaN NaN NaN NaN NaN \n",
- "79 7.232805e+10 7.669436e+10 8.060194e+10 8.544377e+10 9.338760e+10 \n",
- "75 6.265147e+10 6.834674e+10 7.631378e+10 8.555111e+10 9.490659e+10 \n",
- "38 5.971647e+10 5.005687e+10 4.720936e+10 5.070680e+10 5.970834e+10 \n",
- "114 4.038529e+10 4.484276e+10 5.038389e+10 5.771074e+10 6.317542e+10 \n",
- "33 NaN 4.155599e+10 4.286809e+10 4.571315e+10 5.012664e+10 \n",
- "152 1.304000e+10 1.416000e+10 1.520000e+10 1.696000e+10 2.008000e+10 \n",
- "27 1.516557e+10 1.523685e+10 1.992629e+10 2.302148e+10 2.121189e+10 \n",
- "68 1.207213e+10 1.383430e+10 1.613855e+10 1.907491e+10 2.134384e+10 \n",
- "124 3.957240e+09 2.417638e+09 2.813857e+09 3.988477e+09 3.458565e+09 \n",
- "107 3.702988e+10 3.923244e+10 4.216148e+10 4.842192e+10 5.648029e+10 \n",
- "174 1.227673e+10 1.349383e+10 1.464706e+10 1.589124e+10 1.869938e+10 \n",
- "11 1.857767e+10 1.965394e+10 1.989249e+10 2.150745e+10 2.376414e+10 \n",
- "7 NaN NaN 2.445060e+10 1.827212e+10 2.560525e+10 \n",
- "242 1.399507e+10 7.988889e+09 8.922222e+09 1.035556e+10 1.117778e+10 \n",
- "35 9.522747e+09 1.071271e+10 1.187998e+10 1.306364e+10 1.448056e+10 \n",
- "221 1.484287e+10 1.614716e+10 1.751148e+10 1.895413e+10 2.113724e+10 \n",
- "200 NaN NaN NaN NaN NaN \n",
- "15 1.165872e+10 1.240015e+10 1.326402e+10 1.426002e+10 1.596011e+10 \n",
- "12 6.592694e+09 7.311750e+09 7.756110e+09 8.374175e+09 9.169984e+09 \n",
- "203 NaN NaN NaN NaN NaN \n",
- "188 NaN NaN NaN NaN NaN \n",
- "94 1.320797e+09 1.383682e+09 1.612346e+09 1.935298e+09 2.206466e+09 \n",
- "175 5.163272e+09 5.632461e+09 6.066977e+09 6.510240e+09 7.159203e+09 \n",
- "104 NaN NaN NaN NaN NaN \n",
- "56 6.248947e+09 6.933842e+09 7.812968e+09 8.316692e+09 9.506679e+09 \n",
- "261 7.575397e+09 7.972997e+09 8.497997e+09 9.423396e+09 1.037400e+10 \n",
- "113 2.598500e+09 3.138500e+09 2.510000e+09 2.992333e+09 3.405333e+09 \n",
- "87 4.446528e+09 5.016049e+09 5.327574e+09 5.949478e+09 6.680298e+09 \n",
- "231 2.760747e+09 3.034044e+09 3.308913e+09 3.540403e+09 3.889130e+09 \n",
- "73 5.224102e+09 5.921659e+09 6.340581e+09 6.885920e+09 7.766655e+09 \n",
- "192 3.193200e+09 3.417517e+09 3.668222e+09 3.905734e+09 4.235608e+09 \n",
- "252 7.779091e+09 8.189091e+09 8.946970e+09 9.753333e+09 8.099318e+09 \n",
- "110 4.199134e+09 4.426949e+09 4.693566e+09 4.928628e+09 5.379846e+09 \n",
- "6 NaN NaN NaN NaN NaN \n",
- "43 4.031153e+09 4.540448e+09 4.955544e+09 4.836167e+09 5.973367e+09 \n",
- "109 1.939330e+09 2.088012e+09 2.260350e+09 2.430844e+09 2.766609e+09 \n",
- "65 NaN NaN NaN NaN NaN \n",
- "\n",
- " 1965 ... 2012 2013 2014 \\\n",
- "249 7.437000e+11 ... 1.619701e+13 1.678485e+13 1.752175e+13 \n",
- "117 9.095028e+10 ... 6.203213e+12 5.155717e+12 4.850414e+12 \n",
- "53 NaN ... 3.543984e+12 3.752514e+12 3.898727e+12 \n",
- "79 1.005958e+11 ... 2.676605e+12 2.753565e+12 3.034729e+12 \n",
- "75 1.021606e+11 ... 2.683825e+12 2.811078e+12 2.852166e+12 \n",
- "38 7.043627e+10 ... 8.532231e+12 9.570406e+12 1.043853e+13 \n",
- "114 6.797815e+10 ... 2.072823e+12 2.130491e+12 2.151733e+12 \n",
- "33 5.534224e+10 ... 1.823967e+12 1.842018e+12 1.801480e+12 \n",
- "152 2.184000e+10 ... 1.201090e+12 1.274443e+12 1.314564e+12 \n",
- "27 2.179004e+10 ... 2.465189e+12 2.472806e+12 2.455994e+12 \n",
- "68 2.475696e+10 ... 1.336019e+12 1.361854e+12 1.376911e+12 \n",
- "124 3.120495e+09 ... 1.222807e+12 1.305605e+12 1.411334e+12 \n",
- "107 5.955486e+10 ... 1.827638e+12 1.856722e+12 2.039127e+12 \n",
- "174 2.100059e+10 ... 8.389713e+11 8.769235e+11 8.909813e+11 \n",
- "11 2.593795e+10 ... 1.546152e+12 1.576184e+12 1.467484e+12 \n",
- "7 2.834471e+10 ... 5.459824e+11 5.520251e+11 5.263197e+11 \n",
- "242 1.196667e+10 ... 8.739822e+11 9.505794e+11 9.341859e+11 \n",
- "35 1.534674e+10 ... 6.680436e+11 6.885042e+11 7.091826e+11 \n",
- "221 2.326032e+10 ... 5.444815e+11 5.793607e+11 5.744131e+11 \n",
- "200 NaN ... 2.210257e+12 2.297128e+12 2.059984e+12 \n",
- "15 1.737146e+10 ... 4.978842e+11 5.209255e+11 5.308084e+11 \n",
- "12 9.994071e+09 ... 4.094252e+11 4.300687e+11 4.419961e+11 \n",
- "203 NaN ... 7.359748e+11 7.466471e+11 7.563503e+11 \n",
- "188 NaN ... 5.003608e+11 5.242343e+11 5.453891e+11 \n",
- "94 2.435079e+09 ... 2.626294e+11 2.756969e+11 2.914594e+11 \n",
- "175 8.058681e+09 ... 5.102291e+11 5.235021e+11 4.993385e+11 \n",
- "104 NaN ... 9.178699e+11 9.125241e+11 8.908148e+11 \n",
- "56 1.067890e+10 ... 3.271489e+11 3.435844e+11 3.529936e+11 \n",
- "261 1.133440e+10 ... 3.963294e+11 3.666449e+11 3.506376e+11 \n",
- "113 3.663333e+09 ... 2.574350e+11 2.929170e+11 3.100079e+11 \n",
- "87 7.600579e+09 ... 2.456707e+11 2.398620e+11 2.370296e+11 \n",
- "231 4.388938e+09 ... 3.975581e+11 4.203333e+11 4.073394e+11 \n",
- "73 8.589340e+09 ... 2.567065e+11 2.699801e+11 2.726093e+11 \n",
- "192 4.687464e+09 ... 2.163682e+11 2.260735e+11 2.296298e+11 \n",
- "252 8.427778e+09 ... 3.812862e+11 3.710054e+11 4.823593e+11 \n",
- "110 6.197320e+09 ... 5.988534e+11 4.674149e+11 4.344746e+11 \n",
- "6 NaN ... 3.745906e+11 3.901076e+11 4.031371e+11 \n",
- "43 5.760762e+09 ... 3.705744e+11 3.818666e+11 3.811121e+11 \n",
- "109 2.945704e+09 ... 2.249995e+11 2.385435e+11 2.584719e+11 \n",
- "65 4.948668e+09 ... 2.793728e+11 2.885862e+11 3.055297e+11 \n",
- "\n",
- " 2015 2016 2017 2018 2019 \\\n",
- "249 1.821930e+13 1.870719e+13 1.948539e+13 2.049410e+13 NaN \n",
- "117 4.389476e+12 4.926667e+12 4.859951e+12 4.970916e+12 NaN \n",
- "53 3.381389e+12 3.495163e+12 3.693204e+12 3.996759e+12 NaN \n",
- "79 2.896421e+12 2.659239e+12 2.637866e+12 2.825208e+12 NaN \n",
- "75 2.438208e+12 2.471286e+12 2.586285e+12 2.777535e+12 NaN \n",
- "38 1.101554e+13 1.113795e+13 1.214349e+13 1.360815e+13 NaN \n",
- "114 1.832273e+12 1.869202e+12 1.946570e+12 2.073902e+12 NaN \n",
- "33 1.552900e+12 1.526706e+12 1.646867e+12 1.712510e+12 NaN \n",
- "152 1.170565e+12 1.077828e+12 1.158071e+12 1.223809e+12 NaN \n",
- "27 1.802214e+12 1.796275e+12 2.053595e+12 1.868626e+12 NaN \n",
- "68 1.199084e+12 1.237499e+12 1.314314e+12 1.426189e+12 NaN \n",
- "124 1.382764e+12 1.414804e+12 1.530751e+12 1.619424e+12 NaN \n",
- "107 2.103588e+12 2.290432e+12 2.652551e+12 2.726323e+12 NaN \n",
- "174 7.652649e+11 7.835282e+11 8.318099e+11 9.136585e+11 NaN \n",
- "11 1.351520e+12 1.210028e+12 1.330803e+12 1.432195e+12 NaN \n",
- "7 5.947493e+11 5.575314e+11 6.426959e+11 5.184751e+11 NaN \n",
- "242 8.597969e+11 8.637216e+11 8.515492e+11 7.665091e+11 NaN \n",
- "35 6.798323e+11 6.701811e+11 6.789654e+11 7.055013e+11 NaN \n",
- "221 4.981176e+11 5.122052e+11 5.356074e+11 5.510317e+11 NaN \n",
- "200 1.363594e+12 1.282724e+12 1.578624e+12 1.657554e+12 NaN \n",
- "15 4.559403e+11 4.696772e+11 4.949017e+11 5.317669e+11 NaN \n",
- "12 3.818057e+11 3.940528e+11 4.168360e+11 4.557366e+11 NaN \n",
- "203 6.542699e+11 6.449355e+11 6.885861e+11 7.824835e+11 NaN \n",
- "188 4.775774e+11 4.720280e+11 5.263710e+11 5.857829e+11 NaN \n",
- "94 3.093836e+11 3.208607e+11 3.416481e+11 3.629925e+11 NaN \n",
- "175 3.866631e+11 3.713448e+11 3.994889e+11 4.347509e+11 NaN \n",
- "104 8.608542e+11 9.318774e+11 1.015423e+12 1.042173e+12 NaN \n",
- "56 3.026731e+11 3.119881e+11 3.298656e+11 3.520584e+11 NaN \n",
- "261 3.174156e+11 2.963409e+11 3.492681e+11 3.682882e+11 NaN \n",
- "113 3.004708e+11 3.193779e+11 3.532684e+11 3.696904e+11 NaN \n",
- "87 1.965914e+11 1.952224e+11 2.030856e+11 2.180318e+11 NaN \n",
- "231 4.012960e+11 4.123528e+11 4.552755e+11 5.049928e+11 NaN \n",
- "73 2.328508e+11 2.390095e+11 2.523311e+11 2.739610e+11 NaN \n",
- "192 1.994203e+11 2.062757e+11 2.193081e+11 2.379789e+11 NaN \n",
- "252 NaN NaN NaN NaN NaN \n",
- "110 3.858745e+11 4.189767e+11 4.540128e+11 NaN NaN \n",
- "6 3.581351e+11 3.570451e+11 3.825751e+11 4.141789e+11 NaN \n",
- "43 2.934817e+11 2.828250e+11 3.117899e+11 3.302279e+11 NaN \n",
- "109 2.914998e+11 3.005233e+11 3.348340e+11 3.824875e+11 NaN \n",
- "65 3.326980e+11 3.329278e+11 2.353691e+11 2.508955e+11 NaN \n",
- "\n",
- " Unnamed: 64 increaseRate2013-2018 \n",
- "249 NaN 771.496373 \n",
- "117 NaN 390.415929 \n",
- "53 NaN 441.809779 \n",
- "79 NaN 741.128517 \n",
- "75 NaN 448.153190 \n",
- "38 NaN 8999.962122 \n",
- "114 NaN 560.438213 \n",
- "33 NaN 683.281146 \n",
- "152 NaN 1093.959888 \n",
- "27 NaN 830.586548 \n",
- "68 NaN 790.458368 \n",
- "124 NaN 3032.310031 \n",
- "107 NaN 1885.664011 \n",
- "174 NaN 486.205729 \n",
- "11 NaN 1110.240417 \n",
- "7 NaN 792.647234 \n",
- "242 NaN 1076.583456 \n",
- "35 NaN NaN \n",
- "221 NaN 434.541359 \n",
- "200 NaN NaN \n",
- "15 NaN 422.423521 \n",
- "12 NaN 634.439955 \n",
- "203 NaN 874.867536 \n",
- "188 NaN NaN \n",
- "94 NaN 1881.940436 \n",
- "175 NaN 834.484206 \n",
- "104 NaN 1925.378945 \n",
- "56 NaN 483.236102 \n",
- "261 NaN 687.960071 \n",
- "113 NaN 2098.098544 \n",
- "87 NaN 392.502471 \n",
- "231 NaN 2003.560625 \n",
- "73 NaN 655.065126 \n",
- "192 NaN 913.110689 \n",
- "252 NaN NaN \n",
- "110 NaN NaN \n",
- "6 NaN 1642.016435 \n",
- "43 NaN 1319.509947 \n",
- "109 NaN 2508.069947 \n",
- "65 NaN 1593.900098 \n",
- "\n",
- "[40 rows x 66 columns]"
- ]
- },
- "execution_count": 232,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "\n",
- "pd.set_option('display.max_rows',40)\n",
- "df.iloc[0:40,]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 253,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x1aa22e7c18>"
- ]
- },
- "execution_count": 253,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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- "text/plain": [
- "<Figure size 2160x576 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "\n",
- "sns.set_style(\"whitegrid\")\n",
- "plt.figure(figsize=(30,8))\n",
- "df = df.sort_values(by='2000',ascending=False)\n",
- "sns.barplot(x='2000', y='Country Name',data=df.iloc[0:10,], orient='h')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "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": "3.7.3"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git "a/ebooks/Python\346\225\260\346\215\256\345\210\206\346\236\220\344\270\216\346\214\226\346\216\230\345\256\236\346\210\230_\345\244\247\346\225\260\346\215\256\346\212\200\346\234\257\344\270\233\344\271\246_-_\345\274\240\350\211\257\345\235\207__\347\255\211__\350\275\257\344\273\266\345\267\245\345\205\267_\347\250\213\345\272\217\350\256\276\350\256\241.pdf" "b/ebooks/Python\346\225\260\346\215\256\345\210\206\346\236\220\344\270\216\346\214\226\346\216\230\345\256\236\346\210\230_\345\244\247\346\225\260\346\215\256\346\212\200\346\234\257\344\270\233\344\271\246_-_\345\274\240\350\211\257\345\235\207__\347\255\211__\350\275\257\344\273\266\345\267\245\345\205\267_\347\250\213\345\272\217\350\256\276\350\256\241.pdf"
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diff --git a/ebooks/pyda-2e.pdf b/ebooks/pyda-2e.pdf
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diff --git "a/GDP/2019-12-19-\344\270\226\347\225\214GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226.md" "b/project/Country_GDP/2019-12-19-\344\270\226\347\225\214GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226.md"
similarity index 96%
rename from "GDP/2019-12-19-\344\270\226\347\225\214GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226.md"
rename to "project/Country_GDP/2019-12-19-\344\270\226\347\225\214GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226.md"
index fcc46f0..64f1a6d 100644
--- "a/GDP/2019-12-19-\344\270\226\347\225\214GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226.md"
+++ "b/project/Country_GDP/2019-12-19-\344\270\226\347\225\214GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226.md"
@@ -12,6 +12,7 @@ import seaborn as sns
### 导入数据
+[数据下载](https://github.com/LIU-HONGYANG/python/blob/master/GDP/Country_GDP.csv)
```{python}
Country_GDP= pd.read_csv("Country_GDP.csv",sep=";")
@@ -129,4 +130,8 @@ sns.barplot(x='2000', y='Country Name',data=df.iloc[0:10,], orient='h')
## 结果
-
\ No newline at end of file
+
+
+References:
+
+[GDP (current US$)](https://data.worldbank.org/indicator/ny.gdp.mktp.cd)
\ No newline at end of file
diff --git a/GDP/Country_GDP.csv b/project/Country_GDP/Country_GDP.csv
similarity index 100%
rename from GDP/Country_GDP.csv
rename to project/Country_GDP/Country_GDP.csv
diff --git a/GDP/download.png b/project/Country_GDP/download.png
similarity index 100%
rename from GDP/download.png
rename to project/Country_GDP/download.png
diff --git "a/GDP/\345\220\204\345\233\275GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226.ipynb" "b/project/Country_GDP/\345\220\204\345\233\275GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226.ipynb"
similarity index 100%
rename from "GDP/\345\220\204\345\233\275GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226.ipynb"
rename to "project/Country_GDP/\345\220\204\345\233\275GDP\346\225\260\346\215\256\345\217\257\350\247\206\345\214\226.ipynb"