Covid19.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>...</th>\n",
       "      <th>3/21/20</th>\n",
       "      <th>3/22/20</th>\n",
       "      <th>3/23/20</th>\n",
       "      <th>3/24/20</th>\n",
       "      <th>3/25/20</th>\n",
       "      <th>3/26/20</th>\n",
       "      <th>3/27/20</th>\n",
       "      <th>3/28/20</th>\n",
       "      <th>3/29/20</th>\n",
       "      <th>3/30/20</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0000</td>\n",
       "      <td>65.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>94</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>120</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Albania</td>\n",
       "      <td>41.1533</td>\n",
       "      <td>20.1683</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>76</td>\n",
       "      <td>89</td>\n",
       "      <td>104</td>\n",
       "      <td>123</td>\n",
       "      <td>146</td>\n",
       "      <td>174</td>\n",
       "      <td>186</td>\n",
       "      <td>197</td>\n",
       "      <td>212</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>28.0339</td>\n",
       "      <td>1.6596</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>139</td>\n",
       "      <td>201</td>\n",
       "      <td>230</td>\n",
       "      <td>264</td>\n",
       "      <td>302</td>\n",
       "      <td>367</td>\n",
       "      <td>409</td>\n",
       "      <td>454</td>\n",
       "      <td>511</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>42.5063</td>\n",
       "      <td>1.5218</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>88</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>164</td>\n",
       "      <td>188</td>\n",
       "      <td>224</td>\n",
       "      <td>267</td>\n",
       "      <td>308</td>\n",
       "      <td>334</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Angola</td>\n",
       "      <td>-11.2027</td>\n",
       "      <td>17.8739</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>249</td>\n",
       "      <td>Anguilla</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>18.2206</td>\n",
       "      <td>-63.0686</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>250</td>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>18.4207</td>\n",
       "      <td>-64.6400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>251</td>\n",
       "      <td>Turks and Caicos Islands</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>21.6940</td>\n",
       "      <td>-71.7979</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>252</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MS Zaandam</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>253</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Botswana</td>\n",
       "      <td>-22.3285</td>\n",
       "      <td>24.6849</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>254 rows × 73 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Province/State  Country/Region      Lat     Long  1/22/20  \\\n",
       "0                         NaN     Afghanistan  33.0000  65.0000        0   \n",
       "1                         NaN         Albania  41.1533  20.1683        0   \n",
       "2                         NaN         Algeria  28.0339   1.6596        0   \n",
       "3                         NaN         Andorra  42.5063   1.5218        0   \n",
       "4                         NaN          Angola -11.2027  17.8739        0   \n",
       "..                        ...             ...      ...      ...      ...   \n",
       "249                  Anguilla  United Kingdom  18.2206 -63.0686        0   \n",
       "250    British Virgin Islands  United Kingdom  18.4207 -64.6400        0   \n",
       "251  Turks and Caicos Islands  United Kingdom  21.6940 -71.7979        0   \n",
       "252                       NaN      MS Zaandam   0.0000   0.0000        0   \n",
       "253                       NaN        Botswana -22.3285  24.6849        0   \n",
       "\n",
       "     1/23/20  1/24/20  1/25/20  1/26/20  1/27/20  ...  3/21/20  3/22/20  \\\n",
       "0          0        0        0        0        0  ...       24       40   \n",
       "1          0        0        0        0        0  ...       76       89   \n",
       "2          0        0        0        0        0  ...      139      201   \n",
       "3          0        0        0        0        0  ...       88      113   \n",
       "4          0        0        0        0        0  ...        2        2   \n",
       "..       ...      ...      ...      ...      ...  ...      ...      ...   \n",
       "249        0        0        0        0        0  ...        0        0   \n",
       "250        0        0        0        0        0  ...        0        0   \n",
       "251        0        0        0        0        0  ...        0        0   \n",
       "252        0        0        0        0        0  ...        0        0   \n",
       "253        0        0        0        0        0  ...        0        0   \n",
       "\n",
       "     3/23/20  3/24/20  3/25/20  3/26/20  3/27/20  3/28/20  3/29/20  3/30/20  \n",
       "0         40       74       84       94      110      110      120      170  \n",
       "1        104      123      146      174      186      197      212      223  \n",
       "2        230      264      302      367      409      454      511      584  \n",
       "3        133      164      188      224      267      308      334      370  \n",
       "4          3        3        3        4        4        5        7        7  \n",
       "..       ...      ...      ...      ...      ...      ...      ...      ...  \n",
       "249        0        0        0        0        0        2        2        2  \n",
       "250        0        0        0        0        0        2        2        2  \n",
       "251        0        0        0        0        0        4        4        5  \n",
       "252        0        0        0        0        0        2        2        2  \n",
       "253        0        0        0        0        0        0        0        3  \n",
       "\n",
       "[254 rows x 73 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cov=pd.read_csv(\"covid.csv\")\n",
    "cov"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "aa=cov.drop(columns=['Province/State'])\n",
    "bb=aa.drop(columns=['Lat'])\n",
    "cc=bb.drop(columns=['Long'])\n",
    "cc.to_csv('covi19.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Country/Region  3/30/20\n",
      "225              US   161807\n",
      "137           Italy   101739\n",
      "201           Spain    87956\n",
      "62            China    67801\n",
      "120         Germany    66885\n",
      "116          France    44550\n",
      "133            Iran    41495\n",
      "223  United Kingdom    22141\n",
      "206     Switzerland    15922\n",
      "23          Belgium    11899\n",
      "169     Netherlands    11750\n",
      "213          Turkey    10827\n",
      "143    Korea, South     9661\n",
      "16          Austria     9618\n",
      "184        Portugal     6408\n",
      "136          Israel     4695\n",
      "28           Brazil     4579\n",
      "175          Norway     4445\n",
      "205          Sweden     4028\n",
      "44           Canada     3430\n",
      "91          Czechia     3001\n",
      "135         Ireland     2910\n",
      "153        Malaysia     2626\n",
      "94          Denmark     2577\n",
      "48            Chile     2449\n",
      "186         Romania     2109\n",
      "183          Poland     2055\n",
      "9         Australia     2032\n",
      "151      Luxembourg     1988\n",
      "97          Ecuador     1962\n"
     ]
    }
   ],
   "source": [
    "covv=cov.sort_values('3/30/20',ascending=False)\n",
    "print(covv[['Country/Region','3/30/20']][0:30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "abc=covv[['Country/Region','3/30/20']][0:15]\n",
    "final=abc.sort_values('3/30/20',ascending=True)\n",
    "plt.barh(final['Country/Region'],final['3/30/20']/10**3)\n",
    "plt.xlabel(\"Infected ->\",color='red',)\n",
    "plt.ylabel(\"Country ->\",color='red')\n",
    "plt.title(\"Covid19 Epedemic\",color='red')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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/Region</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>1/28/20</th>\n",
       "      <th>1/29/20</th>\n",
       "      <th>1/30/20</th>\n",
       "      <th>...</th>\n",
       "      <th>3/21/20</th>\n",
       "      <th>3/22/20</th>\n",
       "      <th>3/23/20</th>\n",
       "      <th>3/24/20</th>\n",
       "      <th>3/25/20</th>\n",
       "      <th>3/26/20</th>\n",
       "      <th>3/27/20</th>\n",
       "      <th>3/28/20</th>\n",
       "      <th>3/29/20</th>\n",
       "      <th>3/30/20</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>94</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>120</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Albania</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>76</td>\n",
       "      <td>89</td>\n",
       "      <td>104</td>\n",
       "      <td>123</td>\n",
       "      <td>146</td>\n",
       "      <td>174</td>\n",
       "      <td>186</td>\n",
       "      <td>197</td>\n",
       "      <td>212</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>139</td>\n",
       "      <td>201</td>\n",
       "      <td>230</td>\n",
       "      <td>264</td>\n",
       "      <td>302</td>\n",
       "      <td>367</td>\n",
       "      <td>409</td>\n",
       "      <td>454</td>\n",
       "      <td>511</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>88</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>164</td>\n",
       "      <td>188</td>\n",
       "      <td>224</td>\n",
       "      <td>267</td>\n",
       "      <td>308</td>\n",
       "      <td>334</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Angola</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>249</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>250</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>251</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>252</td>\n",
       "      <td>MS Zaandam</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>253</td>\n",
       "      <td>Botswana</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>254 rows × 70 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Country/Region  1/22/20  1/23/20  1/24/20  1/25/20  1/26/20  1/27/20  \\\n",
       "0       Afghanistan        0        0        0        0        0        0   \n",
       "1           Albania        0        0        0        0        0        0   \n",
       "2           Algeria        0        0        0        0        0        0   \n",
       "3           Andorra        0        0        0        0        0        0   \n",
       "4            Angola        0        0        0        0        0        0   \n",
       "..              ...      ...      ...      ...      ...      ...      ...   \n",
       "249  United Kingdom        0        0        0        0        0        0   \n",
       "250  United Kingdom        0        0        0        0        0        0   \n",
       "251  United Kingdom        0        0        0        0        0        0   \n",
       "252      MS Zaandam        0        0        0        0        0        0   \n",
       "253        Botswana        0        0        0        0        0        0   \n",
       "\n",
       "     1/28/20  1/29/20  1/30/20  ...  3/21/20  3/22/20  3/23/20  3/24/20  \\\n",
       "0          0        0        0  ...       24       40       40       74   \n",
       "1          0        0        0  ...       76       89      104      123   \n",
       "2          0        0        0  ...      139      201      230      264   \n",
       "3          0        0        0  ...       88      113      133      164   \n",
       "4          0        0        0  ...        2        2        3        3   \n",
       "..       ...      ...      ...  ...      ...      ...      ...      ...   \n",
       "249        0        0        0  ...        0        0        0        0   \n",
       "250        0        0        0  ...        0        0        0        0   \n",
       "251        0        0        0  ...        0        0        0        0   \n",
       "252        0        0        0  ...        0        0        0        0   \n",
       "253        0        0        0  ...        0        0        0        0   \n",
       "\n",
       "     3/25/20  3/26/20  3/27/20  3/28/20  3/29/20  3/30/20  \n",
       "0         84       94      110      110      120      170  \n",
       "1        146      174      186      197      212      223  \n",
       "2        302      367      409      454      511      584  \n",
       "3        188      224      267      308      334      370  \n",
       "4          3        4        4        5        7        7  \n",
       "..       ...      ...      ...      ...      ...      ...  \n",
       "249        0        0        0        2        2        2  \n",
       "250        0        0        0        2        2        2  \n",
       "251        0        0        0        4        4        5  \n",
       "252        0        0        0        2        2        2  \n",
       "253        0        0        0        0        0        3  \n",
       "\n",
       "[254 rows x 70 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "took=pd.read_csv(\"covi19.csv\")\n",
    "took"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>1/28/20</th>\n",
       "      <th>1/29/20</th>\n",
       "      <th>1/30/20</th>\n",
       "      <th>1/31/20</th>\n",
       "      <th>...</th>\n",
       "      <th>3/21/20</th>\n",
       "      <th>3/22/20</th>\n",
       "      <th>3/23/20</th>\n",
       "      <th>3/24/20</th>\n",
       "      <th>3/25/20</th>\n",
       "      <th>3/26/20</th>\n",
       "      <th>3/27/20</th>\n",
       "      <th>3/28/20</th>\n",
       "      <th>3/29/20</th>\n",
       "      <th>3/30/20</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country/Region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></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",
       "      <td>Afghanistan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>94</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>120</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Albania</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>76</td>\n",
       "      <td>89</td>\n",
       "      <td>104</td>\n",
       "      <td>123</td>\n",
       "      <td>146</td>\n",
       "      <td>174</td>\n",
       "      <td>186</td>\n",
       "      <td>197</td>\n",
       "      <td>212</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Algeria</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>139</td>\n",
       "      <td>201</td>\n",
       "      <td>230</td>\n",
       "      <td>264</td>\n",
       "      <td>302</td>\n",
       "      <td>367</td>\n",
       "      <td>409</td>\n",
       "      <td>454</td>\n",
       "      <td>511</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Andorra</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>88</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>164</td>\n",
       "      <td>188</td>\n",
       "      <td>224</td>\n",
       "      <td>267</td>\n",
       "      <td>308</td>\n",
       "      <td>334</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Angola</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Venezuela</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>77</td>\n",
       "      <td>84</td>\n",
       "      <td>91</td>\n",
       "      <td>107</td>\n",
       "      <td>107</td>\n",
       "      <td>119</td>\n",
       "      <td>119</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Vietnam</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>94</td>\n",
       "      <td>113</td>\n",
       "      <td>123</td>\n",
       "      <td>134</td>\n",
       "      <td>141</td>\n",
       "      <td>153</td>\n",
       "      <td>163</td>\n",
       "      <td>174</td>\n",
       "      <td>188</td>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>West Bank and Gaza</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>48</td>\n",
       "      <td>52</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>84</td>\n",
       "      <td>91</td>\n",
       "      <td>98</td>\n",
       "      <td>109</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Zambia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>16</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>29</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>178 rows × 69 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    1/22/20  1/23/20  1/24/20  1/25/20  1/26/20  1/27/20  \\\n",
       "Country/Region                                                             \n",
       "Afghanistan               0        0        0        0        0        0   \n",
       "Albania                   0        0        0        0        0        0   \n",
       "Algeria                   0        0        0        0        0        0   \n",
       "Andorra                   0        0        0        0        0        0   \n",
       "Angola                    0        0        0        0        0        0   \n",
       "...                     ...      ...      ...      ...      ...      ...   \n",
       "Venezuela                 0        0        0        0        0        0   \n",
       "Vietnam                   0        2        2        2        2        2   \n",
       "West Bank and Gaza        0        0        0        0        0        0   \n",
       "Zambia                    0        0        0        0        0        0   \n",
       "Zimbabwe                  0        0        0        0        0        0   \n",
       "\n",
       "                    1/28/20  1/29/20  1/30/20  1/31/20  ...  3/21/20  3/22/20  \\\n",
       "Country/Region                                          ...                     \n",
       "Afghanistan               0        0        0        0  ...       24       40   \n",
       "Albania                   0        0        0        0  ...       76       89   \n",
       "Algeria                   0        0        0        0  ...      139      201   \n",
       "Andorra                   0        0        0        0  ...       88      113   \n",
       "Angola                    0        0        0        0  ...        2        2   \n",
       "...                     ...      ...      ...      ...  ...      ...      ...   \n",
       "Venezuela                 0        0        0        0  ...       70       70   \n",
       "Vietnam                   2        2        2        2  ...       94      113   \n",
       "West Bank and Gaza        0        0        0        0  ...       48       52   \n",
       "Zambia                    0        0        0        0  ...        2        3   \n",
       "Zimbabwe                  0        0        0        0  ...        3        3   \n",
       "\n",
       "                    3/23/20  3/24/20  3/25/20  3/26/20  3/27/20  3/28/20  \\\n",
       "Country/Region                                                             \n",
       "Afghanistan              40       74       84       94      110      110   \n",
       "Albania                 104      123      146      174      186      197   \n",
       "Algeria                 230      264      302      367      409      454   \n",
       "Andorra                 133      164      188      224      267      308   \n",
       "Angola                    3        3        3        4        4        5   \n",
       "...                     ...      ...      ...      ...      ...      ...   \n",
       "Venezuela                77       84       91      107      107      119   \n",
       "Vietnam                 123      134      141      153      163      174   \n",
       "West Bank and Gaza       59       59       59       84       91       98   \n",
       "Zambia                    3        3       12       16       22       28   \n",
       "Zimbabwe                  3        3        3        3        5        7   \n",
       "\n",
       "                    3/29/20  3/30/20  \n",
       "Country/Region                        \n",
       "Afghanistan             120      170  \n",
       "Albania                 212      223  \n",
       "Algeria                 511      584  \n",
       "Andorra                 334      370  \n",
       "Angola                    7        7  \n",
       "...                     ...      ...  \n",
       "Venezuela               119      135  \n",
       "Vietnam                 188      203  \n",
       "West Bank and Gaza      109      116  \n",
       "Zambia                   29       35  \n",
       "Zimbabwe                  7        7  \n",
       "\n",
       "[178 rows x 69 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "took.groupby(['Country/Region']).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "tkk=took.groupby(['Country/Region']).sum()\n",
    "tkk.sort_values('3/30/20',ascending=False)\n",
    "tkk.to_csv('covifinal.csv')\n",
    "#print(tk[['Country/Region','3/30/20']][0:30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Country/Region  3/30/20\n",
      "166              US   161807\n",
      "83            Italy   101739\n",
      "151           Spain    87956\n",
      "35            China    82198\n",
      "64          Germany    66885\n",
      "60           France    45170\n",
      "79             Iran    41495\n",
      "170  United Kingdom    22453\n",
      "156     Switzerland    15922\n",
      "16          Belgium    11899\n",
      "118     Netherlands    11817\n",
      "165          Turkey    10827\n",
      "89     Korea, South     9661\n",
      "9           Austria     9618\n",
      "31           Canada     7398\n",
      "133        Portugal     6408\n",
      "82           Israel     4695\n",
      "23           Brazil     4579\n",
      "124          Norway     4445\n",
      "8         Australia     4361\n",
      "155          Sweden     4028\n",
      "44          Czechia     3001\n",
      "81          Ireland     2910\n",
      "45          Denmark     2755\n",
      "103        Malaysia     2626\n",
      "34            Chile     2449\n",
      "135         Romania     2109\n",
      "132          Poland     2055\n",
      "100      Luxembourg     1988\n",
      "50          Ecuador     1962\n"
     ]
    }
   ],
   "source": [
    "df=pd.read_csv(\"covifinal.csv\")\n",
    "dff=df.sort_values('3/30/20',ascending=False)\n",
    "print(dff[['Country/Region','3/30/20']][0:30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfff=dff[['Country/Region','3/30/20']][0:15]\n",
    "df_final=dfff.sort_values('3/30/20',ascending=True)\n",
    "plt.barh(df_final['Country/Region'],df_final['3/30/20']/10**3)\n",
    "plt.xlabel(\"Coronavirus Cases in Thousand\",fontsize=\"16\")\n",
    "plt.title(\"Covid19 Epedemic\",color='blue',fontsize=\"20\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(\"death.csv\")\n",
    "aa=df.drop(columns=['Province/State'])\n",
    "bb=aa.drop(columns=['Lat'])\n",
    "cc=bb.drop(columns=['Long'])\n",
    "cc.to_csv('modi_death.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('modi_death.csv')\n",
    "tkk=df.groupby(['Country/Region']).sum()\n",
    "tkk.sort_values('3/30/20',ascending=False)\n",
    "tkk.to_csv('final_death.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         Country/Region  3/30/20\n",
      "83                Italy    11591\n",
      "151               Spain     7716\n",
      "35                China     3308\n",
      "60               France     3030\n",
      "166                  US     2978\n",
      "79                 Iran     2757\n",
      "170      United Kingdom     1411\n",
      "118         Netherlands      865\n",
      "64              Germany      645\n",
      "16              Belgium      513\n",
      "156         Switzerland      359\n",
      "165              Turkey      168\n",
      "23               Brazil      159\n",
      "89         Korea, South      158\n",
      "155              Sweden      146\n",
      "133            Portugal      140\n",
      "78            Indonesia      122\n",
      "9               Austria      108\n",
      "31               Canada       80\n",
      "131         Philippines       78\n",
      "45              Denmark       77\n",
      "135             Romania       65\n",
      "50              Ecuador       60\n",
      "85                Japan       54\n",
      "81              Ireland       54\n",
      "80                 Iraq       46\n",
      "66               Greece       43\n",
      "49   Dominican Republic       42\n",
      "51                Egypt       41\n",
      "103            Malaysia       37\n"
     ]
    }
   ],
   "source": [
    "df=pd.read_csv('final_death.csv')\n",
    "dff=df.sort_values('3/30/20',ascending=False)\n",
    "print(dff[['Country/Region','3/30/20']][0:30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfff=dff[['Country/Region','3/30/20']][0:15]\n",
    "df_final=dfff.sort_values('3/30/20',ascending=True)\n",
    "plt.barh(df_final['Country/Region'],df_final['3/30/20'],color=\"red\")\n",
    "plt.xlabel(\"Passed away\",fontsize=\"16\")\n",
    "plt.title(\"Covid19 Epedemic\",color='red',fontsize=\"20\")\n",
    "plt.show()"
   ]
  }
 ],
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