{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "# SARS-CoV-19 Corona Virus Data\n",
    "\n",
    "Working with some datasets from Kaggle on CoCalc\n",
    "\n",
    "https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset\n",
    "\n",
    "Download `covid_19_data.csv`\n",
    "\n",
    "Better: adjust all below to work with https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_daily_reports/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sbn\n",
    "sbn.set('notebook')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "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>SNo</th>\n",
       "      <th>time</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>lastupdate</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4242</th>\n",
       "      <td>4243</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Northern Territory</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2020-03-06 04:33:03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4243</th>\n",
       "      <td>4244</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Lackland, TX (From Diamond Princess)</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-02-24 23:33:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4244</th>\n",
       "      <td>4245</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Montgomery County, TX</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-07 19:53:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4245</th>\n",
       "      <td>4246</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Omaha, NE (From Diamond Princess)</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-02-24 23:33:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4246</th>\n",
       "      <td>4247</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Travis, CA (From Diamond Princess)</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-02-24 23:33:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       SNo       time                                 state    country  \\\n",
       "4242  4243 2020-03-08                    Northern Territory  Australia   \n",
       "4243  4244 2020-03-08  Lackland, TX (From Diamond Princess)         US   \n",
       "4244  4245 2020-03-08                 Montgomery County, TX         US   \n",
       "4245  4246 2020-03-08     Omaha, NE (From Diamond Princess)         US   \n",
       "4246  4247 2020-03-08    Travis, CA (From Diamond Princess)         US   \n",
       "\n",
       "              lastupdate  Confirmed  Deaths  Recovered  \n",
       "4242 2020-03-06 04:33:03        0.0     0.0        0.0  \n",
       "4243 2020-02-24 23:33:02        0.0     0.0        0.0  \n",
       "4244 2020-03-07 19:53:02        0.0     0.0        0.0  \n",
       "4245 2020-02-24 23:33:02        0.0     0.0        0.0  \n",
       "4246 2020-02-24 23:33:02        0.0     0.0        0.0  "
      ]
     },
     "execution_count": 2,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covid = pd.read_csv(\"covid_19_data.csv\", parse_dates=[1, 4]).rename(\n",
    "    columns={\n",
    "        'Province/State': 'state',\n",
    "        'Country/Region': 'country',\n",
    "        'Last Update': 'lastupdate',\n",
    "        'ObservationDate': 'time'\n",
    "    })\n",
    "covid.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
    "covid['state'] = covid['state'].astype('category')\n",
    "covid['country'] = covid['country'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SNo                    int64\n",
       "time          datetime64[ns]\n",
       "state               category\n",
       "country             category\n",
       "lastupdate    datetime64[ns]\n",
       "Confirmed            float64\n",
       "Deaths               float64\n",
       "Recovered            float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covid.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## \"sick\" are those, who are neither dead nor are recovered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
    "covid['sick'] = covid.Confirmed - covid.Recovered - covid.Deaths"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### \"deathrate\" based on confirmed cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
    "covid['deathrate'] = 100 * covid.Deaths / covid.Confirmed\n",
    "covid['recrate'] = 100 * covid.Recovered / covid.Confirmed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### filter latest data only!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
    "# but keep the full data around …\n",
    "covid_all = covid.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "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>SNo</th>\n",
       "      <th>time</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>lastupdate</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>sick</th>\n",
       "      <th>deathrate</th>\n",
       "      <th>recrate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3992</th>\n",
       "      <td>3993</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Hubei</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 14:43:03</td>\n",
       "      <td>67707.0</td>\n",
       "      <td>2986.0</td>\n",
       "      <td>45235.0</td>\n",
       "      <td>19486.0</td>\n",
       "      <td>4.410179</td>\n",
       "      <td>66.809931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3993</th>\n",
       "      <td>3994</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Italy</td>\n",
       "      <td>2020-03-08 18:03:04</td>\n",
       "      <td>7375.0</td>\n",
       "      <td>366.0</td>\n",
       "      <td>622.0</td>\n",
       "      <td>6387.0</td>\n",
       "      <td>4.962712</td>\n",
       "      <td>8.433898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3994</th>\n",
       "      <td>3995</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>2020-03-08 12:53:03</td>\n",
       "      <td>7314.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>7146.0</td>\n",
       "      <td>0.683620</td>\n",
       "      <td>1.613344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3995</th>\n",
       "      <td>3996</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran</td>\n",
       "      <td>2020-03-08 11:03:30</td>\n",
       "      <td>6566.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>2134.0</td>\n",
       "      <td>4238.0</td>\n",
       "      <td>2.954615</td>\n",
       "      <td>32.500761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3996</th>\n",
       "      <td>3997</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 14:43:03</td>\n",
       "      <td>1352.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1256.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>0.517751</td>\n",
       "      <td>92.899408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "      <th>4242</th>\n",
       "      <td>4243</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Northern Territory</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2020-03-06 04:33:03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4243</th>\n",
       "      <td>4244</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Lackland, TX (From Diamond Princess)</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-02-24 23:33:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4244</th>\n",
       "      <td>4245</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Montgomery County, TX</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-07 19:53:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4245</th>\n",
       "      <td>4246</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Omaha, NE (From Diamond Princess)</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-02-24 23:33:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4246</th>\n",
       "      <td>4247</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Travis, CA (From Diamond Princess)</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-02-24 23:33:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>255 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       SNo       time                                 state         country  \\\n",
       "3992  3993 2020-03-08                                 Hubei  Mainland China   \n",
       "3993  3994 2020-03-08                                   NaN           Italy   \n",
       "3994  3995 2020-03-08                                   NaN     South Korea   \n",
       "3995  3996 2020-03-08                                   NaN            Iran   \n",
       "3996  3997 2020-03-08                             Guangdong  Mainland China   \n",
       "...    ...        ...                                   ...             ...   \n",
       "4242  4243 2020-03-08                    Northern Territory       Australia   \n",
       "4243  4244 2020-03-08  Lackland, TX (From Diamond Princess)              US   \n",
       "4244  4245 2020-03-08                 Montgomery County, TX              US   \n",
       "4245  4246 2020-03-08     Omaha, NE (From Diamond Princess)              US   \n",
       "4246  4247 2020-03-08    Travis, CA (From Diamond Princess)              US   \n",
       "\n",
       "              lastupdate  Confirmed  Deaths  Recovered     sick  deathrate  \\\n",
       "3992 2020-03-08 14:43:03    67707.0  2986.0    45235.0  19486.0   4.410179   \n",
       "3993 2020-03-08 18:03:04     7375.0   366.0      622.0   6387.0   4.962712   \n",
       "3994 2020-03-08 12:53:03     7314.0    50.0      118.0   7146.0   0.683620   \n",
       "3995 2020-03-08 11:03:30     6566.0   194.0     2134.0   4238.0   2.954615   \n",
       "3996 2020-03-08 14:43:03     1352.0     7.0     1256.0     89.0   0.517751   \n",
       "...                  ...        ...     ...        ...      ...        ...   \n",
       "4242 2020-03-06 04:33:03        0.0     0.0        0.0      0.0        NaN   \n",
       "4243 2020-02-24 23:33:02        0.0     0.0        0.0      0.0        NaN   \n",
       "4244 2020-03-07 19:53:02        0.0     0.0        0.0      0.0        NaN   \n",
       "4245 2020-02-24 23:33:02        0.0     0.0        0.0      0.0        NaN   \n",
       "4246 2020-02-24 23:33:02        0.0     0.0        0.0      0.0        NaN   \n",
       "\n",
       "        recrate  \n",
       "3992  66.809931  \n",
       "3993   8.433898  \n",
       "3994   1.613344  \n",
       "3995  32.500761  \n",
       "3996  92.899408  \n",
       "...         ...  \n",
       "4242        NaN  \n",
       "4243        NaN  \n",
       "4244        NaN  \n",
       "4245        NaN  \n",
       "4246        NaN  \n",
       "\n",
       "[255 rows x 11 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covid = covid[covid.time == covid.time.max()].reindex()\n",
    "covid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "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>SNo</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>sick</th>\n",
       "      <th>deathrate</th>\n",
       "      <th>recrate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>255.000000</td>\n",
       "      <td>255.00000</td>\n",
       "      <td>255.000000</td>\n",
       "      <td>255.000000</td>\n",
       "      <td>255.000000</td>\n",
       "      <td>249.000000</td>\n",
       "      <td>249.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4120.000000</td>\n",
       "      <td>430.72549</td>\n",
       "      <td>14.913725</td>\n",
       "      <td>238.019608</td>\n",
       "      <td>177.792157</td>\n",
       "      <td>1.320539</td>\n",
       "      <td>16.819022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>73.756356</td>\n",
       "      <td>4302.71234</td>\n",
       "      <td>188.609605</td>\n",
       "      <td>2838.177099</td>\n",
       "      <td>1382.094730</td>\n",
       "      <td>7.645967</td>\n",
       "      <td>33.098950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3993.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4056.500000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4120.000000</td>\n",
       "      <td>4.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4183.500000</td>\n",
       "      <td>35.50000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>16.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4247.000000</td>\n",
       "      <td>67707.00000</td>\n",
       "      <td>2986.000000</td>\n",
       "      <td>45235.000000</td>\n",
       "      <td>19486.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               SNo    Confirmed       Deaths     Recovered          sick  \\\n",
       "count   255.000000    255.00000   255.000000    255.000000    255.000000   \n",
       "mean   4120.000000    430.72549    14.913725    238.019608    177.792157   \n",
       "std      73.756356   4302.71234   188.609605   2838.177099   1382.094730   \n",
       "min    3993.000000      0.00000     0.000000      0.000000      0.000000   \n",
       "25%    4056.500000      1.00000     0.000000      0.000000      1.000000   \n",
       "50%    4120.000000      4.00000     0.000000      0.000000      3.000000   \n",
       "75%    4183.500000     35.50000     0.000000      1.000000     16.500000   \n",
       "max    4247.000000  67707.00000  2986.000000  45235.000000  19486.000000   \n",
       "\n",
       "        deathrate     recrate  \n",
       "count  249.000000  249.000000  \n",
       "mean     1.320539   16.819022  \n",
       "std      7.645967   33.098950  \n",
       "min      0.000000    0.000000  \n",
       "25%      0.000000    0.000000  \n",
       "50%      0.000000    0.000000  \n",
       "75%      0.000000   10.000000  \n",
       "max    100.000000  100.000000  "
      ]
     },
     "execution_count": 9,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covid.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "death rate stats, where at least a significant amount of patients are known …"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.0"
      ]
     },
     "execution_count": 10,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_deaths = covid[covid.Deaths > 2].Deaths.quantile(.1)\n",
    "min_deaths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    20.000000\n",
       "mean      3.243667\n",
       "std       4.624665\n",
       "min       0.392927\n",
       "25%       0.844441\n",
       "50%       1.799359\n",
       "75%       3.108818\n",
       "max      20.481928\n",
       "Name: deathrate, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deathrate_sign = covid[covid.Deaths > min_deaths].deathrate\n",
    "deathrate_sign.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f09f9525240>]"
      ]
     },
     "execution_count": 12,
     "metadata": {
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "execution_count": 12,
     "metadata": {
      "image/png": {
       "height": 414,
       "width": 714
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.plot(np.sort(deathrate_sign.to_numpy()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "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>SNo</th>\n",
       "      <th>time</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>lastupdate</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>sick</th>\n",
       "      <th>deathrate</th>\n",
       "      <th>recrate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3992</th>\n",
       "      <td>3993</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Hubei</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 14:43:03</td>\n",
       "      <td>67707.0</td>\n",
       "      <td>2986.0</td>\n",
       "      <td>45235.0</td>\n",
       "      <td>19486.0</td>\n",
       "      <td>4.410179</td>\n",
       "      <td>66.809931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3993</th>\n",
       "      <td>3994</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Italy</td>\n",
       "      <td>2020-03-08 18:03:04</td>\n",
       "      <td>7375.0</td>\n",
       "      <td>366.0</td>\n",
       "      <td>622.0</td>\n",
       "      <td>6387.0</td>\n",
       "      <td>4.962712</td>\n",
       "      <td>8.433898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3995</th>\n",
       "      <td>3996</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran</td>\n",
       "      <td>2020-03-08 11:03:30</td>\n",
       "      <td>6566.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>2134.0</td>\n",
       "      <td>4238.0</td>\n",
       "      <td>2.954615</td>\n",
       "      <td>32.500761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3994</th>\n",
       "      <td>3995</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>2020-03-08 12:53:03</td>\n",
       "      <td>7314.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>7146.0</td>\n",
       "      <td>0.683620</td>\n",
       "      <td>1.613344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3997</th>\n",
       "      <td>3998</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Henan</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 05:03:02</td>\n",
       "      <td>1272.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1247.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.729560</td>\n",
       "      <td>98.034591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3999</th>\n",
       "      <td>4000</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "      <td>2020-03-08 18:03:04</td>\n",
       "      <td>1126.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1095.0</td>\n",
       "      <td>1.687389</td>\n",
       "      <td>1.065719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4037</th>\n",
       "      <td>4038</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>King County, WA</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-08 20:23:09</td>\n",
       "      <td>83.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>20.481928</td>\n",
       "      <td>1.204819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4006</th>\n",
       "      <td>4007</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Spain</td>\n",
       "      <td>2020-03-08 20:33:02</td>\n",
       "      <td>673.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>626.0</td>\n",
       "      <td>2.526003</td>\n",
       "      <td>4.457652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4011</th>\n",
       "      <td>4012</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Heilongjiang</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 14:43:03</td>\n",
       "      <td>481.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>412.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>2.702703</td>\n",
       "      <td>85.654886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4012</th>\n",
       "      <td>4013</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Beijing</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 01:23:07</td>\n",
       "      <td>428.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1.869159</td>\n",
       "      <td>71.962617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3996</th>\n",
       "      <td>3997</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 14:43:03</td>\n",
       "      <td>1352.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1256.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>0.517751</td>\n",
       "      <td>92.899408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4008</th>\n",
       "      <td>4009</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Chongqing</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 23:23:03</td>\n",
       "      <td>576.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>527.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1.041667</td>\n",
       "      <td>91.493056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4015</th>\n",
       "      <td>4016</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Hebei</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-07 13:03:05</td>\n",
       "      <td>318.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.886792</td>\n",
       "      <td>96.540881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4025</th>\n",
       "      <td>4026</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Hainan</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 04:33:02</td>\n",
       "      <td>168.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.571429</td>\n",
       "      <td>94.642857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4010</th>\n",
       "      <td>4011</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Japan</td>\n",
       "      <td>2020-03-08 14:53:11</td>\n",
       "      <td>502.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>420.0</td>\n",
       "      <td>1.195219</td>\n",
       "      <td>15.139442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4004</th>\n",
       "      <td>4005</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Shandong</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 10:03:11</td>\n",
       "      <td>758.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>642.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>0.791557</td>\n",
       "      <td>84.696570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4005</th>\n",
       "      <td>4006</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Diamond Princess cruise ship</td>\n",
       "      <td>Others</td>\n",
       "      <td>2020-03-06 01:29:39</td>\n",
       "      <td>696.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>0.862069</td>\n",
       "      <td>5.747126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4044</th>\n",
       "      <td>4045</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>2020-03-08 21:03:03</td>\n",
       "      <td>60.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4002</th>\n",
       "      <td>4003</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Anhui</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 05:13:06</td>\n",
       "      <td>990.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>984.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.606061</td>\n",
       "      <td>99.393939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4001</th>\n",
       "      <td>4002</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Hunan</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-03-08 12:53:03</td>\n",
       "      <td>1018.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>968.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.392927</td>\n",
       "      <td>95.088409</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       SNo       time                         state         country  \\\n",
       "3992  3993 2020-03-08                         Hubei  Mainland China   \n",
       "3993  3994 2020-03-08                           NaN           Italy   \n",
       "3995  3996 2020-03-08                           NaN            Iran   \n",
       "3994  3995 2020-03-08                           NaN     South Korea   \n",
       "3997  3998 2020-03-08                         Henan  Mainland China   \n",
       "3999  4000 2020-03-08                           NaN          France   \n",
       "4037  4038 2020-03-08               King County, WA              US   \n",
       "4006  4007 2020-03-08                           NaN           Spain   \n",
       "4011  4012 2020-03-08                  Heilongjiang  Mainland China   \n",
       "4012  4013 2020-03-08                       Beijing  Mainland China   \n",
       "3996  3997 2020-03-08                     Guangdong  Mainland China   \n",
       "4008  4009 2020-03-08                     Chongqing  Mainland China   \n",
       "4015  4016 2020-03-08                         Hebei  Mainland China   \n",
       "4025  4026 2020-03-08                        Hainan  Mainland China   \n",
       "4010  4011 2020-03-08                           NaN           Japan   \n",
       "4004  4005 2020-03-08                      Shandong  Mainland China   \n",
       "4005  4006 2020-03-08  Diamond Princess cruise ship          Others   \n",
       "4044  4045 2020-03-08                           NaN            Iraq   \n",
       "4002  4003 2020-03-08                         Anhui  Mainland China   \n",
       "4001  4002 2020-03-08                         Hunan  Mainland China   \n",
       "\n",
       "              lastupdate  Confirmed  Deaths  Recovered     sick  deathrate  \\\n",
       "3992 2020-03-08 14:43:03    67707.0  2986.0    45235.0  19486.0   4.410179   \n",
       "3993 2020-03-08 18:03:04     7375.0   366.0      622.0   6387.0   4.962712   \n",
       "3995 2020-03-08 11:03:30     6566.0   194.0     2134.0   4238.0   2.954615   \n",
       "3994 2020-03-08 12:53:03     7314.0    50.0      118.0   7146.0   0.683620   \n",
       "3997 2020-03-08 05:03:02     1272.0    22.0     1247.0      3.0   1.729560   \n",
       "3999 2020-03-08 18:03:04     1126.0    19.0       12.0   1095.0   1.687389   \n",
       "4037 2020-03-08 20:23:09       83.0    17.0        1.0     65.0  20.481928   \n",
       "4006 2020-03-08 20:33:02      673.0    17.0       30.0    626.0   2.526003   \n",
       "4011 2020-03-08 14:43:03      481.0    13.0      412.0     56.0   2.702703   \n",
       "4012 2020-03-08 01:23:07      428.0     8.0      308.0    112.0   1.869159   \n",
       "3996 2020-03-08 14:43:03     1352.0     7.0     1256.0     89.0   0.517751   \n",
       "4008 2020-03-08 23:23:03      576.0     6.0      527.0     43.0   1.041667   \n",
       "4015 2020-03-07 13:03:05      318.0     6.0      307.0      5.0   1.886792   \n",
       "4025 2020-03-08 04:33:02      168.0     6.0      159.0      3.0   3.571429   \n",
       "4010 2020-03-08 14:53:11      502.0     6.0       76.0    420.0   1.195219   \n",
       "4004 2020-03-08 10:03:11      758.0     6.0      642.0    110.0   0.791557   \n",
       "4005 2020-03-06 01:29:39      696.0     6.0       40.0    650.0   0.862069   \n",
       "4044 2020-03-08 21:03:03       60.0     6.0        0.0     54.0  10.000000   \n",
       "4002 2020-03-08 05:13:06      990.0     6.0      984.0      0.0   0.606061   \n",
       "4001 2020-03-08 12:53:03     1018.0     4.0      968.0     46.0   0.392927   \n",
       "\n",
       "        recrate  \n",
       "3992  66.809931  \n",
       "3993   8.433898  \n",
       "3995  32.500761  \n",
       "3994   1.613344  \n",
       "3997  98.034591  \n",
       "3999   1.065719  \n",
       "4037   1.204819  \n",
       "4006   4.457652  \n",
       "4011  85.654886  \n",
       "4012  71.962617  \n",
       "3996  92.899408  \n",
       "4008  91.493056  \n",
       "4015  96.540881  \n",
       "4025  94.642857  \n",
       "4010  15.139442  \n",
       "4004  84.696570  \n",
       "4005   5.747126  \n",
       "4044   0.000000  \n",
       "4002  99.393939  \n",
       "4001  95.088409  "
      ]
     },
     "execution_count": 13,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covid.sort_values(by='Deaths', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## Situation in Italy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f09f90971d0>"
      ]
     },
     "execution_count": 14,
     "metadata": {
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "execution_count": 14,
     "metadata": {
      "image/png": {
       "height": 418,
       "width": 717
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "italy = covid_all[covid_all.country == 'Italy'].sort_values(by='lastupdate')\n",
    "italy.plot.line(x='lastupdate', y=['Confirmed', 'Deaths', 'Recovered', 'sick'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f09f8fc2828>"
      ]
     },
     "execution_count": 15,
     "metadata": {
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "execution_count": 15,
     "metadata": {
      "image/png": {
       "height": 418,
       "width": 699
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "italy.plot.line(x='lastupdate', y='deathrate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f09f8f066a0>"
      ]
     },
     "execution_count": 22,
     "metadata": {
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "execution_count": 22,
     "metadata": {
      "image/png": {
       "height": 418,
       "width": 705
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "italy.plot.line(x='lastupdate', y='recrate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## outside china"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "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>SNo</th>\n",
       "      <th>time</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>lastupdate</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>sick</th>\n",
       "      <th>deathrate</th>\n",
       "      <th>recrate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3993</th>\n",
       "      <td>3994</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Italy</td>\n",
       "      <td>2020-03-08 18:03:04</td>\n",
       "      <td>7375.0</td>\n",
       "      <td>366.0</td>\n",
       "      <td>622.0</td>\n",
       "      <td>6387.0</td>\n",
       "      <td>4.962712</td>\n",
       "      <td>8.433898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3994</th>\n",
       "      <td>3995</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>2020-03-08 12:53:03</td>\n",
       "      <td>7314.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>7146.0</td>\n",
       "      <td>0.683620</td>\n",
       "      <td>1.613344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3995</th>\n",
       "      <td>3996</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran</td>\n",
       "      <td>2020-03-08 11:03:30</td>\n",
       "      <td>6566.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>2134.0</td>\n",
       "      <td>4238.0</td>\n",
       "      <td>2.954615</td>\n",
       "      <td>32.500761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3999</th>\n",
       "      <td>4000</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "      <td>2020-03-08 18:03:04</td>\n",
       "      <td>1126.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1095.0</td>\n",
       "      <td>1.687389</td>\n",
       "      <td>1.065719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4000</th>\n",
       "      <td>4001</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Germany</td>\n",
       "      <td>2020-03-08 21:03:03</td>\n",
       "      <td>1040.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1022.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.730769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "      <th>4242</th>\n",
       "      <td>4243</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Northern Territory</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2020-03-06 04:33:03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4243</th>\n",
       "      <td>4244</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Lackland, TX (From Diamond Princess)</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-02-24 23:33:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4244</th>\n",
       "      <td>4245</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Montgomery County, TX</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-07 19:53:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4245</th>\n",
       "      <td>4246</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Omaha, NE (From Diamond Princess)</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-02-24 23:33:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4246</th>\n",
       "      <td>4247</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Travis, CA (From Diamond Princess)</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-02-24 23:33:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>224 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       SNo       time                                 state      country  \\\n",
       "3993  3994 2020-03-08                                   NaN        Italy   \n",
       "3994  3995 2020-03-08                                   NaN  South Korea   \n",
       "3995  3996 2020-03-08                                   NaN         Iran   \n",
       "3999  4000 2020-03-08                                   NaN       France   \n",
       "4000  4001 2020-03-08                                   NaN      Germany   \n",
       "...    ...        ...                                   ...          ...   \n",
       "4242  4243 2020-03-08                    Northern Territory    Australia   \n",
       "4243  4244 2020-03-08  Lackland, TX (From Diamond Princess)           US   \n",
       "4244  4245 2020-03-08                 Montgomery County, TX           US   \n",
       "4245  4246 2020-03-08     Omaha, NE (From Diamond Princess)           US   \n",
       "4246  4247 2020-03-08    Travis, CA (From Diamond Princess)           US   \n",
       "\n",
       "              lastupdate  Confirmed  Deaths  Recovered    sick  deathrate  \\\n",
       "3993 2020-03-08 18:03:04     7375.0   366.0      622.0  6387.0   4.962712   \n",
       "3994 2020-03-08 12:53:03     7314.0    50.0      118.0  7146.0   0.683620   \n",
       "3995 2020-03-08 11:03:30     6566.0   194.0     2134.0  4238.0   2.954615   \n",
       "3999 2020-03-08 18:03:04     1126.0    19.0       12.0  1095.0   1.687389   \n",
       "4000 2020-03-08 21:03:03     1040.0     0.0       18.0  1022.0   0.000000   \n",
       "...                  ...        ...     ...        ...     ...        ...   \n",
       "4242 2020-03-06 04:33:03        0.0     0.0        0.0     0.0        NaN   \n",
       "4243 2020-02-24 23:33:02        0.0     0.0        0.0     0.0        NaN   \n",
       "4244 2020-03-07 19:53:02        0.0     0.0        0.0     0.0        NaN   \n",
       "4245 2020-02-24 23:33:02        0.0     0.0        0.0     0.0        NaN   \n",
       "4246 2020-02-24 23:33:02        0.0     0.0        0.0     0.0        NaN   \n",
       "\n",
       "        recrate  \n",
       "3993   8.433898  \n",
       "3994   1.613344  \n",
       "3995  32.500761  \n",
       "3999   1.065719  \n",
       "4000   1.730769  \n",
       "...         ...  \n",
       "4242        NaN  \n",
       "4243        NaN  \n",
       "4244        NaN  \n",
       "4245        NaN  \n",
       "4246        NaN  \n",
       "\n",
       "[224 rows x 11 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outside_ch = covid[covid.country != 'Mainland China']\n",
    "outside_ch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "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>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>sick</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>7375.0</td>\n",
       "      <td>366.0</td>\n",
       "      <td>622.0</td>\n",
       "      <td>6387.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iran</th>\n",
       "      <td>6566.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>2134.0</td>\n",
       "      <td>4238.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Korea</th>\n",
       "      <td>7314.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>7146.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>US</th>\n",
       "      <td>537.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>508.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>1126.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1095.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>673.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>626.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iraq</th>\n",
       "      <td>60.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>502.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>420.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Others</th>\n",
       "      <td>696.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>76.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hong Kong</th>\n",
       "      <td>114.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UK</th>\n",
       "      <td>273.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>252.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>265.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>262.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>337.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>332.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Philippines</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Egypt</th>\n",
       "      <td>49.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Taiwan</th>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thailand</th>\n",
       "      <td>50.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Marino</th>\n",
       "      <td>36.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Confirmed  Deaths  Recovered    sick\n",
       "country                                          \n",
       "Italy           7375.0   366.0      622.0  6387.0\n",
       "Iran            6566.0   194.0     2134.0  4238.0\n",
       "South Korea     7314.0    50.0      118.0  7146.0\n",
       "US               537.0    21.0        8.0   508.0\n",
       "France          1126.0    19.0       12.0  1095.0\n",
       "Spain            673.0    17.0       30.0   626.0\n",
       "Iraq              60.0     6.0        0.0    54.0\n",
       "Japan            502.0     6.0       76.0   420.0\n",
       "Others           696.0     6.0       40.0   650.0\n",
       "Australia         76.0     4.0       21.0    51.0\n",
       "Hong Kong        114.0     3.0       58.0    53.0\n",
       "UK               273.0     3.0       18.0   252.0\n",
       "Netherlands      265.0     3.0        0.0   262.0\n",
       "Switzerland      337.0     2.0        3.0   332.0\n",
       "Philippines       10.0     1.0        1.0     8.0\n",
       "Egypt             49.0     1.0        1.0    47.0\n",
       "Taiwan            45.0     1.0       13.0    31.0\n",
       "Thailand          50.0     1.0       31.0    18.0\n",
       "Argentina         12.0     1.0        0.0    11.0\n",
       "San Marino        36.0     1.0        0.0    35.0"
      ]
     },
     "execution_count": 17,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outside_ch.pivot_table(index='country', values=['Deaths', 'Confirmed', 'sick', 'Recovered'], aggfunc=np.sum).sort_values(by='Deaths', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
    "covid_all['inchina'] = covid_all.country == 'Mainland China'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
    "covid_all = covid_all.sort_values('lastupdate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "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>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>sick</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lastupdate</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22 17:00:00</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-23 17:00:00</th>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-24 17:00:00</th>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-25 17:00:00</th>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-26 16:00:00</th>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-08 21:23:03</th>\n",
       "      <td>44.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-08 21:33:02</th>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-08 21:43:03</th>\n",
       "      <td>55.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-08 21:53:03</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-08 21:53:04</th>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>294 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Confirmed  Deaths  Recovered  sick\n",
       "lastupdate                                             \n",
       "2020-01-22 17:00:00        3.0     0.0        0.0   3.0\n",
       "2020-01-23 17:00:00        6.0     0.0        0.0   6.0\n",
       "2020-01-24 17:00:00        9.0     0.0        0.0   9.0\n",
       "2020-01-25 17:00:00       12.0     0.0        0.0  12.0\n",
       "2020-01-26 16:00:00       23.0     0.0        0.0  23.0\n",
       "...                        ...     ...        ...   ...\n",
       "2020-03-08 21:23:03       44.0     0.0        1.0  43.0\n",
       "2020-03-08 21:33:02       30.0     0.0        3.0  27.0\n",
       "2020-03-08 21:43:03       55.0     1.0        0.0  54.0\n",
       "2020-03-08 21:53:03        1.0     0.0        0.0   1.0\n",
       "2020-03-08 21:53:04        5.0     0.0        0.0   5.0\n",
       "\n",
       "[294 rows x 4 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covid_all_inchina = covid_all[covid_all.inchina == False].dropna().pivot_table(index='lastupdate', values=['Deaths', 'Recovered', 'sick', 'Confirmed'], aggfunc=np.sum)\n",
    "covid_all_inchina"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f09f8da3208>"
      ]
     },
     "execution_count": 29,
     "metadata": {
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "execution_count": 29,
     "metadata": {
      "image/png": {
       "height": 418,
       "width": 717
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covid_all_inchina.dropna().sick.plot.line()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (system-wide)",
   "language": "python",
   "metadata": {
    "cocalc": {
     "description": "Python 3 programming language",
     "priority": 100,
     "url": "https://www.python.org/"
    }
   },
   "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": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}