+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Data from:\n",
- "\n",
- "* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.\n",
- "* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.\n",
- "* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 137,
- "metadata": {},
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 138,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " publishedweek1620201.xlsx publishedweek522018.csv\n",
- " publishedweek172020.csv publishedweek522018.ods\n",
- " publishedweek172020.ods publishedweek522018withupdatedrespiratoryrow.xls\n",
- " publishedweek172020.xlsx publishedweek522019.csv\n",
- " publishedweek182020.csv publishedweek522019.ods\n",
- " publishedweek182020.ods publishedweek522019.xls\n",
- " publishedweek182020.xlsx 'Weekly_Deaths - Historical_NI.xls'\n",
- " publishedweek2015.csv\t Weekly_Deaths_NI_2015.csv\n",
- " publishedweek2015.ods\t Weekly_Deaths_NI_2016.csv\n",
- " publishedweek2015.xls\t Weekly_Deaths_NI_2017.csv\n",
- " publishedweek522016.csv Weekly_Deaths_NI_2018.csv\n",
- " publishedweek522016.ods Weekly_Deaths_NI_2019.csv\n",
- " publishedweek522016.xls Weekly_Deaths_NI_2020.csv\n",
- " publishedweek522017.csv Weekly_Deaths_NI_2020.xls\n",
- " publishedweek522017.ods weekly-march-20-scotland.zip\n",
- " publishedweek522017.xls\n"
- ]
- }
- ],
- "source": [
- "!ls uk-deaths-data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 139,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2015 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2015.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh15i = raw_data_2015.iloc[:, [2]]\n",
- "dh15i.columns = ['total_2015']\n",
- "# dh15i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 140,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2016 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2016.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh16i = raw_data_2016.iloc[:, [2]]\n",
- "dh16i.columns = ['total_2016']\n",
- "# dh16i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 141,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2017 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2017.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh17i = raw_data_2017.iloc[:, [2]]\n",
- "dh17i.columns = ['total_2017']\n",
- "# dh17i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 142,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2018 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2018.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh18i = raw_data_2018.iloc[:, [2]]\n",
- "dh18i.columns = ['total_2018']\n",
- "# dh18i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 143,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2019 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2019.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh19i = raw_data_2019.iloc[:, [2]]\n",
- "dh19i.columns = ['total_2019']\n",
- "# dh19i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 144,
- "metadata": {},
- "outputs": [
- {
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
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- " total_2020\n",
- "1 353\n",
- "2 395\n",
- "3 411\n",
- "4 347\n",
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- "execution_count": 144,
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- "source": [
- "raw_data_2020_i = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2020.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "deaths_headlines_i = raw_data_2020_i.iloc[:, [1]]\n",
- "deaths_headlines_i.columns = ['total_2020']\n",
- "deaths_headlines_i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
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- "execution_count": 185,
- "metadata": {
- "scrolled": true
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- "outputs": [],
- "source": [
- "raw_data_s = pd.read_csv('uk-deaths-data/weekly-deaths-april-20-scotland.csv', \n",
- " index_col=0,\n",
- " header=0,\n",
- " skiprows=2\n",
- " )\n",
- "# raw_data_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 184,
- "metadata": {
- "scrolled": true
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- " <th>total_2018</th>\n",
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- " <td>47</td>\n",
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- " <tr>\n",
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- " </tr>\n",
- " <tr>\n",
- " <td>53</td>\n",
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- " <td>1018</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161.0 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567.0 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322.0 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226.0 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188.0 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216.0 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162.0 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162.0 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171.0 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208.0 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156.0 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196.0 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079.0 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744.0 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978.0 1069.0 1192.0 998.0 1048.0 1192\n",
- "16 1916.0 902.0 1136.0 1111.0 1092.0 1095\n",
- "17 1836.0 1121.0 1008.0 1121.0 1076.0 1108\n",
- "18 1679.0 1131.0 1093.0 1050.0 1006.0 1117\n",
- "19 1434.0 1018.0 967.0 1119.0 1047.0 1020\n",
- "20 NaN 1115.0 977.0 1115.0 1010.0 1103\n",
- "21 NaN 1061.0 1070.0 1063.0 994.0 1039\n",
- "22 NaN 1029.0 998.0 1015.0 999.0 1043\n",
- "23 NaN 1042.0 1033.0 1076.0 1023.0 1106\n",
- "24 NaN 1028.0 915.0 1031.0 988.0 1038\n",
- "25 NaN 1053.0 993.0 1032.0 994.0 1025\n",
- "26 NaN 1051.0 1046.0 994.0 1007.0 1032\n",
- "27 NaN 981.0 1041.0 1040.0 988.0 1040\n",
- "28 NaN 1077.0 1002.0 1014.0 1022.0 1011\n",
- "29 NaN 964.0 928.0 1025.0 1041.0 1023\n",
- "30 NaN 1041.0 933.0 978.0 979.0 956\n",
- "31 NaN 1020.0 969.0 1011.0 987.0 985\n",
- "32 NaN 1018.0 953.0 1002.0 997.0 1043\n",
- "33 NaN 1028.0 978.0 1004.0 982.0 969\n",
- "34 NaN 1011.0 941.0 1045.0 1017.0 982\n",
- "35 NaN 1013.0 930.0 980.0 1039.0 954\n",
- "36 NaN 980.0 970.0 1006.0 1007.0 977\n",
- "37 NaN 1074.0 1020.0 972.0 983.0 991\n",
- "38 NaN 1071.0 946.0 1049.0 966.0 1001\n",
- "39 NaN 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 NaN 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 NaN 1143.0 1081.0 1133.0 1009.0 1028\n",
- "42 NaN 1153.0 1031.0 1067.0 1070.0 989\n",
- "43 NaN 1115.0 1019.0 1095.0 1052.0 981\n",
- "44 NaN 1101.0 1085.0 1062.0 1032.0 1116\n",
- "45 NaN 1184.0 1144.0 1126.0 1043.0 1028\n",
- "46 NaN 1160.0 1084.0 1175.0 1174.0 1103\n",
- "47 NaN 1229.0 1058.0 1178.0 1132.0 1054\n",
- "48 NaN 1163.0 1062.0 1153.0 1159.0 1115\n",
- "49 NaN 1108.0 1076.0 1237.0 1188.0 1089\n",
- "50 NaN 1312.0 1212.0 1335.0 1219.0 1101\n",
- "51 NaN 1277.0 1216.0 1437.0 1284.0 1146\n",
- "52 NaN 1000.0 1058.0 1168.0 1133.0 944\n",
- "53 NaN NaN NaN NaN NaN 1018"
- ]
- },
- "execution_count": 184,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
- "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
- "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
- "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 145,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2020 = pd.read_csv('uk-deaths-data/publishedweek182020.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 146,
- "metadata": {},
- "outputs": [],
- "source": [
- "# raw_data_2020.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 147,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "1 787\n",
- "2 939\n",
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- "4 723\n",
- "5 727\n",
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- "7 728\n",
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- "15 928\n",
- "16 1169\n",
- "17 1124\n",
- "18 929\n",
- "Name: (W92000004, Wales), dtype: int64"
- ]
- },
- "execution_count": 147,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2020['W92000004', 'Wales']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 148,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2019 = pd.read_csv('uk-deaths-data/publishedweek522019.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2019.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 149,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2018 = pd.read_csv('uk-deaths-data/publishedweek522018.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2018.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 150,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2017 = pd.read_csv('uk-deaths-data/publishedweek522017.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2017.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 151,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2016 = pd.read_csv('uk-deaths-data/publishedweek522016.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2016.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 152,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2015 = pd.read_csv('uk-deaths-data/publishedweek2015.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2015.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 153,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <thead>\n",
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- " <th></th>\n",
- " <th>total_2020</th>\n",
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- " <td>18</td>\n",
- " <td>17024</td>\n",
- " </tr>\n",
- " </tbody>\n",
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- ],
- "text/plain": [
- " total_2020\n",
- "1 11467\n",
- "2 13119\n",
- "3 12223\n",
- "4 11133\n",
- "5 10885\n",
- "6 10296\n",
- "7 10216\n",
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- "16 21182\n",
- "17 20873\n",
- "18 17024"
- ]
- },
- "execution_count": 153,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e = raw_data_2020.iloc[:, [1]]\n",
- "deaths_headlines_e.columns = ['total_2020']\n",
- "deaths_headlines_w = raw_data_2020['W92000004']\n",
- "deaths_headlines_e.columns = ['total_2020']\n",
- "deaths_headlines_w.columns = ['total_2020']\n",
- "deaths_headlines_e.total_2020 -= deaths_headlines_w.total_2020\n",
- "deaths_headlines_e.head()\n",
- "deaths_headlines_e"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 154,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " total_2019\n",
- "1 10237\n",
- "2 11800\n",
- "3 11177\n",
- "4 11006\n",
- "5 10552"
- ]
- },
- "execution_count": 154,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dh19e = raw_data_2019.iloc[:, [1]]\n",
- "dh19w = raw_data_2019['W92000004']\n",
- "dh19e.columns = ['total_2019']\n",
- "dh19w.columns = ['total_2019']\n",
- "dh19e.total_2019 -= dh19w.total_2019\n",
- "dh19e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 155,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <tr>\n",
- " <td>1</td>\n",
- " <td>718</td>\n",
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- " total_2019\n",
- "1 718\n",
- "2 809\n",
- "3 683\n",
- "4 734\n",
- "5 745"
- ]
- },
- "execution_count": 155,
- "metadata": {},
- "output_type": "execute_result"
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- "source": [
- "dh19w.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 156,
- "metadata": {},
- "outputs": [],
- "source": [
- "dh18e = raw_data_2018.iloc[:, [1]]\n",
- "dh18w = raw_data_2018['W92000004']\n",
- "dh18e.columns = ['total_2018']\n",
- "dh18w.columns = ['total_2018']\n",
- "dh18e.total_2018 -= dh18w.total_2018\n",
- "# dh18e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 157,
- "metadata": {},
- "outputs": [],
- "source": [
- "dh17e = raw_data_2017.iloc[:, [1]]\n",
- "dh17w = raw_data_2017['W92000004']\n",
- "dh17e.columns = ['total_2017']\n",
- "dh17w.columns = ['total_2017']\n",
- "dh17e.total_2017 -= dh17w.total_2017\n",
- "# dh17e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 158,
- "metadata": {},
- "outputs": [],
- "source": [
- "dh16e = raw_data_2016.iloc[:, [1]]\n",
- "dh16w = raw_data_2016['W92000004']\n",
- "dh16e.columns = ['total_2016']\n",
- "dh16w.columns = ['total_2016']\n",
- "dh16e.total_2016 -= dh16w.total_2016\n",
- "# dh16e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 159,
- "metadata": {},
- "outputs": [],
- "source": [
- "dh15e = raw_data_2015.iloc[:, [1]]\n",
- "dh15w = raw_data_2015['W92000004']\n",
- "dh15e.columns = ['total_2015']\n",
- "dh15w.columns = ['total_2015']\n",
- "dh15e.total_2015 -= dh15w.total_2015\n",
- "# dh15e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 160,
- "metadata": {},
- "outputs": [],
- "source": [
- "# dh18 = raw_data_2018.iloc[:, [1, 2]]\n",
- "# dh18.columns = ['total_2018', 'total_previous']\n",
- "# # dh18.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 161,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
- " <th>total_2015</th>\n",
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- " <td>13119.0</td>\n",
- " <td>11800</td>\n",
- " <td>14146</td>\n",
- " <td>12890</td>\n",
- " <td>10790</td>\n",
- " <td>15206</td>\n",
- " </tr>\n",
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- " <td>3</td>\n",
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- " <td>11177</td>\n",
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- " <td>13930</td>\n",
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- " <td>4</td>\n",
- " <td>11133.0</td>\n",
- " <td>11006</td>\n",
- " <td>13085</td>\n",
- " <td>11996</td>\n",
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- " <td>13106</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>5</td>\n",
- " <td>10885.0</td>\n",
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- " <td>12470</td>\n",
- " <td>11736</td>\n",
- " <td>10362</td>\n",
- " <td>12099</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>6</td>\n",
- " <td>10296.0</td>\n",
- " <td>10959</td>\n",
- " <td>11694</td>\n",
- " <td>11546</td>\n",
- " <td>10470</td>\n",
- " <td>11319</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>7</td>\n",
- " <td>10216.0</td>\n",
- " <td>11076</td>\n",
- " <td>11443</td>\n",
- " <td>10954</td>\n",
- " <td>9933</td>\n",
- " <td>11112</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>8</td>\n",
- " <td>10162.0</td>\n",
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- " <td>10695</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>9</td>\n",
- " <td>10165.0</td>\n",
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- " <td>10533</td>\n",
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- " <td>10736</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>10</td>\n",
- " <td>10243.0</td>\n",
- " <td>10276</td>\n",
- " <td>12101</td>\n",
- " <td>10443</td>\n",
- " <td>10276</td>\n",
- " <td>10757</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>11</td>\n",
- " <td>10344.0</td>\n",
- " <td>9901</td>\n",
- " <td>11870</td>\n",
- " <td>10044</td>\n",
- " <td>10284</td>\n",
- " <td>10290</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>12</td>\n",
- " <td>9926.0</td>\n",
- " <td>9774</td>\n",
- " <td>11139</td>\n",
- " <td>9690</td>\n",
- " <td>8967</td>\n",
- " <td>9888</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>13</td>\n",
- " <td>10422.0</td>\n",
- " <td>9213</td>\n",
- " <td>9308</td>\n",
- " <td>9369</td>\n",
- " <td>9574</td>\n",
- " <td>9827</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>14</td>\n",
- " <td>15467.0</td>\n",
- " <td>9484</td>\n",
- " <td>10064</td>\n",
- " <td>9297</td>\n",
- " <td>10857</td>\n",
- " <td>8482</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>15</td>\n",
- " <td>17588.0</td>\n",
- " <td>9654</td>\n",
- " <td>11558</td>\n",
- " <td>7916</td>\n",
- " <td>10679</td>\n",
- " <td>9429</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>16</td>\n",
- " <td>21182.0</td>\n",
- " <td>8445</td>\n",
- " <td>10535</td>\n",
- " <td>8990</td>\n",
- " <td>10211</td>\n",
- " <td>10968</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>17</td>\n",
- " <td>20873.0</td>\n",
- " <td>9381</td>\n",
- " <td>9692</td>\n",
- " <td>10181</td>\n",
- " <td>9784</td>\n",
- " <td>9937</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>18</td>\n",
- " <td>17024.0</td>\n",
- " <td>10519</td>\n",
- " <td>9520</td>\n",
- " <td>8464</td>\n",
- " <td>8568</td>\n",
- " <td>9506</td>\n",
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- " <tr>\n",
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- " <td>9985</td>\n",
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- " </tr>\n",
- " <tr>\n",
- " <td>20</td>\n",
- " <td>NaN</td>\n",
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- " <td>9342</td>\n",
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- " </tr>\n",
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- " <td>21</td>\n",
- " <td>NaN</td>\n",
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- " <td>9033</td>\n",
- " <td>9438</td>\n",
- " <td>9115</td>\n",
- " <td>9391</td>\n",
- " </tr>\n",
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- " <td>22</td>\n",
- " <td>NaN</td>\n",
- " <td>7742</td>\n",
- " <td>7609</td>\n",
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- " <td>7625</td>\n",
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- " <td>8808</td>\n",
- " <td>8942</td>\n",
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- " <td>25</td>\n",
- " <td>NaN</td>\n",
- " <td>8916</td>\n",
- " <td>8694</td>\n",
- " <td>9019</td>\n",
- " <td>8807</td>\n",
- " <td>8717</td>\n",
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- " <tr>\n",
- " <td>26</td>\n",
- " <td>NaN</td>\n",
- " <td>8947</td>\n",
- " <td>8613</td>\n",
- " <td>8788</td>\n",
- " <td>8679</td>\n",
- " <td>8593</td>\n",
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- " <tr>\n",
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- " <td>8614</td>\n",
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- " </tr>\n",
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- " <td>30</td>\n",
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- " <td>8725</td>\n",
- " <td>8262</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>31</td>\n",
- " <td>NaN</td>\n",
- " <td>8701</td>\n",
- " <td>8587</td>\n",
- " <td>8351</td>\n",
- " <td>8602</td>\n",
- " <td>8071</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>32</td>\n",
- " <td>NaN</td>\n",
- " <td>8580</td>\n",
- " <td>8782</td>\n",
- " <td>8466</td>\n",
- " <td>8531</td>\n",
- " <td>8298</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>33</td>\n",
- " <td>NaN</td>\n",
- " <td>8504</td>\n",
- " <td>8312</td>\n",
- " <td>8707</td>\n",
- " <td>8496</td>\n",
- " <td>8600</td>\n",
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- " <tr>\n",
- " <td>34</td>\n",
- " <td>NaN</td>\n",
- " <td>8441</td>\n",
- " <td>8413</td>\n",
- " <td>8812</td>\n",
- " <td>8700</td>\n",
- " <td>8564</td>\n",
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- " <tr>\n",
- " <td>35</td>\n",
- " <td>NaN</td>\n",
- " <td>7684</td>\n",
- " <td>7354</td>\n",
- " <td>7594</td>\n",
- " <td>7453</td>\n",
- " <td>8423</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>36</td>\n",
- " <td>NaN</td>\n",
- " <td>9113</td>\n",
- " <td>8851</td>\n",
- " <td>8955</td>\n",
- " <td>8847</td>\n",
- " <td>7389</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>37</td>\n",
- " <td>NaN</td>\n",
- " <td>8946</td>\n",
- " <td>8612</td>\n",
- " <td>8845</td>\n",
- " <td>8548</td>\n",
- " <td>8704</td>\n",
- " </tr>\n",
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- " <td>38</td>\n",
- " <td>NaN</td>\n",
- " <td>8868</td>\n",
- " <td>8707</td>\n",
- " <td>8949</td>\n",
- " <td>8382</td>\n",
- " <td>8542</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>39</td>\n",
- " <td>NaN</td>\n",
- " <td>8906</td>\n",
- " <td>8590</td>\n",
- " <td>9096</td>\n",
- " <td>8402</td>\n",
- " <td>8865</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>40</td>\n",
- " <td>NaN</td>\n",
- " <td>9202</td>\n",
- " <td>8908</td>\n",
- " <td>9147</td>\n",
- " <td>8729</td>\n",
- " <td>8858</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>41</td>\n",
- " <td>NaN</td>\n",
- " <td>9383</td>\n",
- " <td>9043</td>\n",
- " <td>9300</td>\n",
- " <td>9132</td>\n",
- " <td>9124</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>42</td>\n",
- " <td>NaN</td>\n",
- " <td>9534</td>\n",
- " <td>9224</td>\n",
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- " <td>9144</td>\n",
- " <td>8899</td>\n",
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- " <td>43</td>\n",
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- " <td>9100</td>\n",
- " <td>9104</td>\n",
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- " <td>44</td>\n",
- " <td>NaN</td>\n",
- " <td>9522</td>\n",
- " <td>8925</td>\n",
- " <td>9389</td>\n",
- " <td>9508</td>\n",
- " <td>9025</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>45</td>\n",
- " <td>NaN</td>\n",
- " <td>10044</td>\n",
- " <td>9509</td>\n",
- " <td>9748</td>\n",
- " <td>9844</td>\n",
- " <td>9388</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>46</td>\n",
- " <td>NaN</td>\n",
- " <td>9976</td>\n",
- " <td>9537</td>\n",
- " <td>9609</td>\n",
- " <td>10013</td>\n",
- " <td>9325</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>47</td>\n",
- " <td>NaN</td>\n",
- " <td>10183</td>\n",
- " <td>9300</td>\n",
- " <td>9982</td>\n",
- " <td>9942</td>\n",
- " <td>9219</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>48</td>\n",
- " <td>NaN</td>\n",
- " <td>10269</td>\n",
- " <td>9360</td>\n",
- " <td>9902</td>\n",
- " <td>9796</td>\n",
- " <td>9233</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>49</td>\n",
- " <td>NaN</td>\n",
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- " <td>9613</td>\n",
- " <td>10151</td>\n",
- " <td>10530</td>\n",
- " <td>9706</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>50</td>\n",
- " <td>NaN</td>\n",
- " <td>10489</td>\n",
- " <td>9842</td>\n",
- " <td>10509</td>\n",
- " <td>9870</td>\n",
- " <td>9581</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>51</td>\n",
- " <td>NaN</td>\n",
- " <td>11159</td>\n",
- " <td>10392</td>\n",
- " <td>11755</td>\n",
- " <td>10802</td>\n",
- " <td>10043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>52</td>\n",
- " <td>NaN</td>\n",
- " <td>7037</td>\n",
- " <td>6670</td>\n",
- " <td>7946</td>\n",
- " <td>7445</td>\n",
- " <td>8095</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 11467.0 10237 11940 11247 12236 11561\n",
- "2 13119.0 11800 14146 12890 10790 15206\n",
- "3 12223.0 11177 13371 12775 10753 13930\n",
- "4 11133.0 11006 13085 11996 10600 13106\n",
- "5 10885.0 10552 12470 11736 10362 12099\n",
- "6 10296.0 10959 11694 11546 10470 11319\n",
- "7 10216.0 11076 11443 10954 9933 11112\n",
- "8 10162.0 10600 11353 11093 10360 10695\n",
- "9 10165.0 10360 10220 10533 10564 10736\n",
- "10 10243.0 10276 12101 10443 10276 10757\n",
- "11 10344.0 9901 11870 10044 10284 10290\n",
- "12 9926.0 9774 11139 9690 8967 9888\n",
- "13 10422.0 9213 9308 9369 9574 9827\n",
- "14 15467.0 9484 10064 9297 10857 8482\n",
- "15 17588.0 9654 11558 7916 10679 9429\n",
- "16 21182.0 8445 10535 8990 10211 10968\n",
- "17 20873.0 9381 9692 10181 9784 9937\n",
- "18 17024.0 10519 9520 8464 8568 9506\n",
- "19 NaN 8455 8094 10006 9985 8273\n",
- "20 NaN 9614 9474 9673 9342 9668\n",
- "21 NaN 9657 9033 9438 9115 9391\n",
- "22 NaN 7742 7609 7746 7409 7625\n",
- "23 NaN 9514 9343 9182 9289 9509\n",
- "24 NaN 8847 8782 8768 8808 8942\n",
- "25 NaN 8916 8694 9019 8807 8717\n",
- "26 NaN 8947 8613 8788 8679 8593\n",
- "27 NaN 8528 8633 8707 8614 8670\n",
- "28 NaN 8591 8710 8812 8789 8461\n",
- "29 NaN 8527 8579 8562 8790 8228\n",
- "30 NaN 8569 8581 8296 8725 8262\n",
- "31 NaN 8701 8587 8351 8602 8071\n",
- "32 NaN 8580 8782 8466 8531 8298\n",
- "33 NaN 8504 8312 8707 8496 8600\n",
- "34 NaN 8441 8413 8812 8700 8564\n",
- "35 NaN 7684 7354 7594 7453 8423\n",
- "36 NaN 9113 8851 8955 8847 7389\n",
- "37 NaN 8946 8612 8845 8548 8704\n",
- "38 NaN 8868 8707 8949 8382 8542\n",
- "39 NaN 8906 8590 9096 8402 8865\n",
- "40 NaN 9202 8908 9147 8729 8858\n",
- "41 NaN 9383 9043 9300 9132 9124\n",
- "42 NaN 9534 9224 9381 9144 8899\n",
- "43 NaN 9351 8970 9131 9100 9104\n",
- "44 NaN 9522 8925 9389 9508 9025\n",
- "45 NaN 10044 9509 9748 9844 9388\n",
- "46 NaN 9976 9537 9609 10013 9325\n",
- "47 NaN 10183 9300 9982 9942 9219\n",
- "48 NaN 10269 9360 9902 9796 9233\n",
- "49 NaN 10079 9613 10151 10530 9706\n",
- "50 NaN 10489 9842 10509 9870 9581\n",
- "51 NaN 11159 10392 11755 10802 10043\n",
- "52 NaN 7037 6670 7946 7445 8095"
- ]
- },
- "execution_count": 161,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e = deaths_headlines_e.merge(dh19e['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh18e['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh17e['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh16e['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh15e['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_e"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 182,
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
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- " <td>1507.0</td>\n",
- " <td>1899.0</td>\n",
- " <td>1379.0</td>\n",
- " <td>1305.0</td>\n",
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- " <td>1610.0</td>\n",
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- " <td>1187.0</td>\n",
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- " <td>1332.0</td>\n",
- " <td>1205.0</td>\n",
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- " <td>1243.0</td>\n",
- " <td>1265.0</td>\n",
- " <td>1200.0</td>\n",
- " <td>1217.0</td>\n",
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- " <td>1181.0</td>\n",
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- " <td>1231.0</td>\n",
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- " <td>1171.0</td>\n",
- " <td>1125.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1150.0</td>\n",
- " <td>1308</td>\n",
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- " <td>10</td>\n",
- " <td>1208.0</td>\n",
- " <td>1156.0</td>\n",
- " <td>1475.0</td>\n",
- " <td>1146.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1192</td>\n",
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- " <tr>\n",
- " <td>11</td>\n",
- " <td>1156.0</td>\n",
- " <td>1108.0</td>\n",
- " <td>1220.0</td>\n",
- " <td>1141.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1201</td>\n",
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- " <td>1196.0</td>\n",
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- " <td>1158.0</td>\n",
- " <td>1152.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1149</td>\n",
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- " <td>1079.0</td>\n",
- " <td>1086.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1112.0</td>\n",
- " <td>1172.0</td>\n",
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- " <td>1192.0</td>\n",
- " <td>1060.0</td>\n",
- " <td>1166.0</td>\n",
- " <td>1042</td>\n",
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- " <td>15</td>\n",
- " <td>1978.0</td>\n",
- " <td>1069.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1048.0</td>\n",
- " <td>1192</td>\n",
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- " <td>16</td>\n",
- " <td>1916.0</td>\n",
- " <td>902.0</td>\n",
- " <td>1136.0</td>\n",
- " <td>1111.0</td>\n",
- " <td>1092.0</td>\n",
- " <td>1095</td>\n",
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- " <td>1047.0</td>\n",
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- " <td>1023.0</td>\n",
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- " <td>988.0</td>\n",
- " <td>1038</td>\n",
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- " <td>1025.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1023</td>\n",
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- " <td>956</td>\n",
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- " <td>1101</td>\n",
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- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161.0 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567.0 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322.0 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226.0 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188.0 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216.0 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162.0 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162.0 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171.0 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208.0 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156.0 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196.0 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079.0 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744.0 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978.0 1069.0 1192.0 998.0 1048.0 1192\n",
- "16 1916.0 902.0 1136.0 1111.0 1092.0 1095\n",
- "17 1836.0 1121.0 1008.0 1121.0 1076.0 1108\n",
- "18 1679.0 1131.0 1093.0 1050.0 1006.0 1117\n",
- "19 1434.0 1018.0 967.0 1119.0 1047.0 1020\n",
- "20 NaN 1115.0 977.0 1115.0 1010.0 1103\n",
- "21 NaN 1061.0 1070.0 1063.0 994.0 1039\n",
- "22 NaN 1029.0 998.0 1015.0 999.0 1043\n",
- "23 NaN 1042.0 1033.0 1076.0 1023.0 1106\n",
- "24 NaN 1028.0 915.0 1031.0 988.0 1038\n",
- "25 NaN 1053.0 993.0 1032.0 994.0 1025\n",
- "26 NaN 1051.0 1046.0 994.0 1007.0 1032\n",
- "27 NaN 981.0 1041.0 1040.0 988.0 1040\n",
- "28 NaN 1077.0 1002.0 1014.0 1022.0 1011\n",
- "29 NaN 964.0 928.0 1025.0 1041.0 1023\n",
- "30 NaN 1041.0 933.0 978.0 979.0 956\n",
- "31 NaN 1020.0 969.0 1011.0 987.0 985\n",
- "32 NaN 1018.0 953.0 1002.0 997.0 1043\n",
- "33 NaN 1028.0 978.0 1004.0 982.0 969\n",
- "34 NaN 1011.0 941.0 1045.0 1017.0 982\n",
- "35 NaN 1013.0 930.0 980.0 1039.0 954\n",
- "36 NaN 980.0 970.0 1006.0 1007.0 977\n",
- "37 NaN 1074.0 1020.0 972.0 983.0 991\n",
- "38 NaN 1071.0 946.0 1049.0 966.0 1001\n",
- "39 NaN 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 NaN 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 NaN 1143.0 1081.0 1133.0 1009.0 1028\n",
- "42 NaN 1153.0 1031.0 1067.0 1070.0 989\n",
- "43 NaN 1115.0 1019.0 1095.0 1052.0 981\n",
- "44 NaN 1101.0 1085.0 1062.0 1032.0 1116\n",
- "45 NaN 1184.0 1144.0 1126.0 1043.0 1028\n",
- "46 NaN 1160.0 1084.0 1175.0 1174.0 1103\n",
- "47 NaN 1229.0 1058.0 1178.0 1132.0 1054\n",
- "48 NaN 1163.0 1062.0 1153.0 1159.0 1115\n",
- "49 NaN 1108.0 1076.0 1237.0 1188.0 1089\n",
- "50 NaN 1312.0 1212.0 1335.0 1219.0 1101\n",
- "51 NaN 1277.0 1216.0 1437.0 1284.0 1146\n",
- "52 NaN 1000.0 1058.0 1168.0 1133.0 944\n",
- "53 NaN NaN NaN NaN NaN 1018"
- ]
- },
- "execution_count": 182,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
- "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
- "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
- "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 162,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
- " <th>total_2015</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>787.0</td>\n",
- " <td>718</td>\n",
- " <td>783</td>\n",
- " <td>744</td>\n",
- " <td>809</td>\n",
- " <td>725</td>\n",
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- " <td>2</td>\n",
- " <td>939.0</td>\n",
- " <td>809</td>\n",
- " <td>904</td>\n",
- " <td>825</td>\n",
- " <td>711</td>\n",
- " <td>1031</td>\n",
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- " <tr>\n",
- " <td>3</td>\n",
- " <td>767.0</td>\n",
- " <td>683</td>\n",
- " <td>885</td>\n",
- " <td>835</td>\n",
- " <td>720</td>\n",
- " <td>936</td>\n",
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- " <td>4</td>\n",
- " <td>723.0</td>\n",
- " <td>734</td>\n",
- " <td>850</td>\n",
- " <td>881</td>\n",
- " <td>717</td>\n",
- " <td>828</td>\n",
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- " <tr>\n",
- " <td>5</td>\n",
- " <td>727.0</td>\n",
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- " <td>815</td>\n",
- " <td>749</td>\n",
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- " <td>801</td>\n",
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- " <td>6</td>\n",
- " <td>690.0</td>\n",
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- " <td>801</td>\n",
- " <td>723</td>\n",
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- " <td>720</td>\n",
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- " <td>7</td>\n",
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- " <td>748</td>\n",
- " <td>803</td>\n",
- " <td>690</td>\n",
- " <td>657</td>\n",
- " <td>710</td>\n",
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- " <td>8</td>\n",
- " <td>679.0</td>\n",
- " <td>695</td>\n",
- " <td>789</td>\n",
- " <td>701</td>\n",
- " <td>696</td>\n",
- " <td>739</td>\n",
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- " <td>9</td>\n",
- " <td>651.0</td>\n",
- " <td>684</td>\n",
- " <td>634</td>\n",
- " <td>715</td>\n",
- " <td>721</td>\n",
- " <td>736</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>10</td>\n",
- " <td>652.0</td>\n",
- " <td>622</td>\n",
- " <td>896</td>\n",
- " <td>634</td>\n",
- " <td>734</td>\n",
- " <td>712</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>11</td>\n",
- " <td>675.0</td>\n",
- " <td>666</td>\n",
- " <td>918</td>\n",
- " <td>653</td>\n",
- " <td>738</td>\n",
- " <td>661</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>12</td>\n",
- " <td>719.0</td>\n",
- " <td>628</td>\n",
- " <td>774</td>\n",
- " <td>635</td>\n",
- " <td>668</td>\n",
- " <td>680</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>13</td>\n",
- " <td>719.0</td>\n",
- " <td>654</td>\n",
- " <td>633</td>\n",
- " <td>658</td>\n",
- " <td>712</td>\n",
- " <td>666</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>14</td>\n",
- " <td>920.0</td>\n",
- " <td>642</td>\n",
- " <td>730</td>\n",
- " <td>642</td>\n",
- " <td>742</td>\n",
- " <td>580</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>15</td>\n",
- " <td>928.0</td>\n",
- " <td>637</td>\n",
- " <td>743</td>\n",
- " <td>577</td>\n",
- " <td>738</td>\n",
- " <td>660</td>\n",
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- " <tr>\n",
- " <td>16</td>\n",
- " <td>1169.0</td>\n",
- " <td>580</td>\n",
- " <td>688</td>\n",
- " <td>654</td>\n",
- " <td>714</td>\n",
- " <td>671</td>\n",
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- " <td>17</td>\n",
- " <td>1124.0</td>\n",
- " <td>678</td>\n",
- " <td>614</td>\n",
- " <td>727</td>\n",
- " <td>629</td>\n",
- " <td>662</td>\n",
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- " <tr>\n",
- " <td>18</td>\n",
- " <td>929.0</td>\n",
- " <td>688</td>\n",
- " <td>633</td>\n",
- " <td>600</td>\n",
- " <td>569</td>\n",
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- " <td>599</td>\n",
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- " <td>558</td>\n",
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- " <td>564</td>\n",
- " <td>599</td>\n",
- " <td>546</td>\n",
- " <td>549</td>\n",
- " <td>597</td>\n",
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- " <td>534</td>\n",
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- " <td>524</td>\n",
- " <td>535</td>\n",
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- " <td>NaN</td>\n",
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- " <td>583</td>\n",
- " <td>564</td>\n",
- " <td>599</td>\n",
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- " <td>641</td>\n",
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- " <td>511</td>\n",
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- " <td>470</td>\n",
- " <td>603</td>\n",
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- " <td>594</td>\n",
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- " <td>552</td>\n",
- " <td>489</td>\n",
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- " <td>609</td>\n",
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- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 787.0 718 783 744 809 725\n",
- "2 939.0 809 904 825 711 1031\n",
- "3 767.0 683 885 835 720 936\n",
- "4 723.0 734 850 881 717 828\n",
- "5 727.0 745 815 749 690 801\n",
- "6 690.0 701 801 723 700 720\n",
- "7 728.0 748 803 690 657 710\n",
- "8 679.0 695 789 701 696 739\n",
- "9 651.0 684 634 715 721 736\n",
- "10 652.0 622 896 634 734 712\n",
- "11 675.0 666 918 653 738 661\n",
- "12 719.0 628 774 635 668 680\n",
- "13 719.0 654 633 658 712 666\n",
- "14 920.0 642 730 642 742 580\n",
- "15 928.0 637 743 577 738 660\n",
- "16 1169.0 580 688 654 714 671\n",
- "17 1124.0 678 614 727 629 662\n",
- "18 929.0 688 633 600 569 628\n",
- "19 NaN 600 530 687 652 589\n",
- "20 NaN 658 667 615 611 622\n",
- "21 NaN 627 603 602 624 614\n",
- "22 NaN 518 538 586 500 588\n",
- "23 NaN 626 607 584 584 648\n",
- "24 NaN 598 561 599 578 606\n",
- "25 NaN 542 562 608 558 595\n",
- "26 NaN 564 599 546 549 597\n",
- "27 NaN 534 625 556 524 535\n",
- "28 NaN 588 583 564 599 554\n",
- "29 NaN 553 548 551 560 574\n",
- "30 NaN 543 560 586 610 529\n",
- "31 NaN 570 574 590 580 546\n",
- "32 NaN 542 537 572 641 564\n",
- "33 NaN 589 518 592 574 548\n",
- "34 NaN 553 565 570 619 557\n",
- "35 NaN 558 511 555 470 603\n",
- "36 NaN 582 594 542 552 489\n",
- "37 NaN 567 579 609 576 554\n",
- "38 NaN 572 598 585 563 555\n",
- "39 NaN 611 560 593 592 664\n",
- "40 NaN 597 595 631 562 552\n",
- "41 NaN 590 606 640 587 652\n",
- "42 NaN 622 640 650 624 612\n",
- "43 NaN 670 633 608 624 607\n",
- "44 NaN 642 604 595 644 593\n",
- "45 NaN 653 642 598 626 606\n",
- "46 NaN 674 656 666 681 613\n",
- "47 NaN 699 657 639 661 611\n",
- "48 NaN 689 673 636 643 589\n",
- "49 NaN 737 674 630 693 659\n",
- "50 NaN 699 708 708 663 688\n",
- "51 NaN 767 724 762 691 646\n",
- "52 NaN 496 461 541 558 535"
- ]
- },
- "execution_count": 162,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_w = deaths_headlines_w.merge(dh19w['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh18w['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh17w['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh16w['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh15w['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_w"
- ]
- },
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- " <td>365</td>\n",
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- " <td>371</td>\n",
- " <td>481</td>\n",
- " <td>434</td>\n",
- " <td>348</td>\n",
- " <td>373</td>\n",
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- " <td>332</td>\n",
- " <td>470</td>\n",
- " <td>397</td>\n",
- " <td>372</td>\n",
- " <td>383</td>\n",
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- " <td>355</td>\n",
- " <td>397</td>\n",
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- " <td>371</td>\n",
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- " <td>7</td>\n",
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- " <td>342</td>\n",
- " <td>364</td>\n",
- " <td>337</td>\n",
- " <td>217</td>\n",
- " <td>328</td>\n",
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- " <td>8</td>\n",
- " <td>297.0</td>\n",
- " <td>337</td>\n",
- " <td>366</td>\n",
- " <td>351</td>\n",
- " <td>423</td>\n",
- " <td>317</td>\n",
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- " <td>352</td>\n",
- " <td>298</td>\n",
- " <td>401</td>\n",
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- " <td>312.0</td>\n",
- " <td>342</td>\n",
- " <td>387</td>\n",
- " <td>357</td>\n",
- " <td>309</td>\n",
- " <td>346</td>\n",
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- " <td>11</td>\n",
- " <td>324.0</td>\n",
- " <td>343</td>\n",
- " <td>359</td>\n",
- " <td>251</td>\n",
- " <td>292</td>\n",
- " <td>323</td>\n",
- " </tr>\n",
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- " <td>12</td>\n",
- " <td>271.0</td>\n",
- " <td>294</td>\n",
- " <td>326</td>\n",
- " <td>356</td>\n",
- " <td>306</td>\n",
- " <td>310</td>\n",
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- " <td>13</td>\n",
- " <td>287.0</td>\n",
- " <td>307</td>\n",
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- " <td>314</td>\n",
- " <td>280</td>\n",
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- " <td>286</td>\n",
- " <td>306</td>\n",
- " <td>295</td>\n",
- " <td>221</td>\n",
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- " <td>435.0</td>\n",
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- " <td>350</td>\n",
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- " <td>292</td>\n",
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- " <td>424.0</td>\n",
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- " <td>280</td>\n",
- " <td>245</td>\n",
- " <td>293</td>\n",
- " <td>327</td>\n",
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- " <td>470.0</td>\n",
- " <td>272</td>\n",
- " <td>282</td>\n",
- " <td>327</td>\n",
- " <td>306</td>\n",
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- " <td>427.0</td>\n",
- " <td>357</td>\n",
- " <td>292</td>\n",
- " <td>258</td>\n",
- " <td>258</td>\n",
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- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 353.0 365 447 416 424 319\n",
- "2 395.0 371 481 434 348 373\n",
- "3 411.0 332 470 397 372 383\n",
- "4 347.0 335 426 387 355 397\n",
- "5 323.0 296 433 371 314 374\n",
- "6 332.0 319 351 336 310 347\n",
- "7 306.0 342 364 337 217 328\n",
- "8 297.0 337 366 351 423 317\n",
- "9 347.0 310 314 352 298 401\n",
- "10 312.0 342 387 357 309 346\n",
- "11 324.0 343 359 251 292 323\n",
- "12 271.0 294 326 356 306 310\n",
- "13 287.0 307 319 314 280 323\n",
- "14 434.0 287 286 306 295 221\n",
- "15 435.0 301 350 270 292 294\n",
- "16 424.0 316 280 245 293 327\n",
- "17 470.0 272 282 327 306 316\n",
- "18 427.0 357 292 258 258 335\n",
- "19 NaN 288 230 302 318 256\n",
- "20 NaN 330 268 315 259 299\n",
- "21 NaN 308 268 328 280 290\n",
- "22 NaN 245 252 256 284 258\n",
- "23 NaN 279 276 292 275 340\n",
- "24 NaN 281 277 300 299 272\n",
- "25 NaN 296 265 271 252 292\n",
- "26 NaN 262 271 296 291 303\n",
- "27 NaN 285 266 262 286 300\n",
- "28 NaN 256 172 253 237 252\n",
- "29 NaN 280 298 288 281 203\n",
- "30 NaN 269 282 287 298 274\n",
- "31 NaN 273 278 287 264 291\n",
- "32 NaN 266 270 238 270 248\n",
- "33 NaN 284 283 266 260 235\n",
- "34 NaN 274 280 271 301 251\n",
- "35 NaN 223 251 243 264 259\n",
- "36 NaN 243 265 278 275 237\n",
- "37 NaN 305 285 266 294 324\n",
- "38 NaN 281 247 292 272 283\n",
- "39 NaN 295 298 282 275 287\n",
- "40 NaN 263 324 307 308 282\n",
- "41 NaN 287 318 284 288 304\n",
- "42 NaN 316 282 291 296 299\n",
- "43 NaN 279 263 318 272 274\n",
- "44 NaN 302 252 320 279 292\n",
- "45 NaN 296 293 295 290 290\n",
- "46 NaN 336 275 323 341 297\n",
- "47 NaN 361 274 303 329 294\n",
- "48 NaN 334 297 355 303 279\n",
- "49 NaN 351 324 324 322 294\n",
- "50 NaN 353 316 372 324 343\n",
- "51 NaN 363 317 354 360 301\n",
- "52 NaN 194 195 249 199 232"
- ]
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- "execution_count": 163,
- "metadata": {},
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- "source": [
- "deaths_headlines_i = deaths_headlines_i.merge(dh19i['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh18i['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh17i['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh16i['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh15i['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_i"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 186,
- "metadata": {},
- "outputs": [
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- " <td>14111.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>12697.0</td>\n",
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- " <td>11101.0</td>\n",
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- " <td>11152.0</td>\n",
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- " <td>11773.0</td>\n",
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- " <td>11687.0</td>\n",
- " <td>12342.0</td>\n",
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- " <td>14308.0</td>\n",
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- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
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- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 13768.0 12424.0 14701.0 13612.0 14863.0 13751.0\n",
- "2 16020.0 14487.0 17430.0 15528.0 13154.0 18318.0\n",
- "3 14723.0 13545.0 16355.0 15231.0 13060.0 16738.0\n",
- "4 13429.0 13283.0 15971.0 14461.0 12859.0 15712.0\n",
- "5 13123.0 12799.0 15087.0 14188.0 12571.0 14560.0\n",
- "6 12534.0 13222.0 14111.0 13805.0 12697.0 13730.0\n",
- "7 12412.0 13347.0 13925.0 13212.0 12016.0 13510.0\n",
- "8 12300.0 12877.0 13753.0 13330.0 12718.0 13071.0\n",
- "9 12334.0 12479.0 12190.0 12819.0 12733.0 13181.0\n",
- "10 12415.0 12396.0 14859.0 12580.0 12493.0 13007.0\n",
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- "18 20059.0 12695.0 11538.0 10372.0 10401.0 11586.0\n",
- "19 NaN 10361.0 9821.0 12114.0 12002.0 10138.0\n",
- "20 NaN 11717.0 11386.0 11718.0 11222.0 11692.0\n",
- "21 NaN 11653.0 10974.0 11431.0 11013.0 11334.0\n",
- "22 NaN 9534.0 9397.0 9603.0 9192.0 9514.0\n",
- "23 NaN 11461.0 11259.0 11134.0 11171.0 11603.0\n",
- "24 NaN 10754.0 10535.0 10698.0 10673.0 10858.0\n",
- "25 NaN 10807.0 10514.0 10930.0 10611.0 10629.0\n",
- "26 NaN 10824.0 10529.0 10624.0 10526.0 10525.0\n",
- "27 NaN 10328.0 10565.0 10565.0 10412.0 10545.0\n",
- "28 NaN 10512.0 10467.0 10643.0 10647.0 10278.0\n",
- "29 NaN 10324.0 10353.0 10426.0 10672.0 10028.0\n",
- "30 NaN 10422.0 10356.0 10147.0 10612.0 10021.0\n",
- "31 NaN 10564.0 10408.0 10239.0 10433.0 9893.0\n",
- "32 NaN 10406.0 10542.0 10278.0 10439.0 10153.0\n",
- "33 NaN 10405.0 10091.0 10569.0 10312.0 10352.0\n",
- "34 NaN 10279.0 10199.0 10698.0 10637.0 10354.0\n",
- "35 NaN 9478.0 9046.0 9372.0 9226.0 10239.0\n",
- "36 NaN 10918.0 10680.0 10781.0 10681.0 9092.0\n",
- "37 NaN 10892.0 10496.0 10692.0 10401.0 10573.0\n",
- "38 NaN 10792.0 10498.0 10875.0 10183.0 10381.0\n",
- "39 NaN 10954.0 10463.0 11027.0 10278.0 10826.0\n",
- "40 NaN 11113.0 10869.0 11101.0 10671.0 10700.0\n",
- "41 NaN 11403.0 11048.0 11357.0 11016.0 11108.0\n",
- "42 NaN 11625.0 11177.0 11389.0 11134.0 10799.0\n",
- "43 NaN 11415.0 10885.0 11152.0 11048.0 10966.0\n",
- "44 NaN 11567.0 10866.0 11366.0 11463.0 11026.0\n",
- "45 NaN 12177.0 11588.0 11767.0 11803.0 11312.0\n",
- "46 NaN 12146.0 11552.0 11773.0 12209.0 11338.0\n",
- "47 NaN 12472.0 11289.0 12102.0 12064.0 11178.0\n",
- "48 NaN 12455.0 11392.0 12046.0 11901.0 11216.0\n",
- "49 NaN 12275.0 11687.0 12342.0 12733.0 11748.0\n",
- "50 NaN 12853.0 12078.0 12924.0 12076.0 11713.0\n",
- "51 NaN 13566.0 12649.0 14308.0 13137.0 12136.0\n",
- "52 NaN 8727.0 8384.0 9904.0 9335.0 9806.0\n",
- "53 NaN NaN NaN NaN NaN NaN"
- ]
- },
- "execution_count": 186,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines = deaths_headlines_e + deaths_headlines_w + deaths_headlines_i + deaths_headlines_s\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 187,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <th></th>\n",
- " <th>total_2020</th>\n",
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- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
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- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>13768.0</td>\n",
- " <td>12424.0</td>\n",
- " <td>14701.0</td>\n",
- " <td>13612.0</td>\n",
- " <td>14863.0</td>\n",
- " <td>13751.0</td>\n",
- " <td>13870.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2</td>\n",
- " <td>16020.0</td>\n",
- " <td>14487.0</td>\n",
- " <td>17430.0</td>\n",
- " <td>15528.0</td>\n",
- " <td>13154.0</td>\n",
- " <td>18318.0</td>\n",
- " <td>15783.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>3</td>\n",
- " <td>14723.0</td>\n",
- " <td>13545.0</td>\n",
- " <td>16355.0</td>\n",
- " <td>15231.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>16738.0</td>\n",
- " <td>14985.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>4</td>\n",
- " <td>13429.0</td>\n",
- " <td>13283.0</td>\n",
- " <td>15971.0</td>\n",
- " <td>14461.0</td>\n",
- " <td>12859.0</td>\n",
- " <td>15712.0</td>\n",
- " <td>14457.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>5</td>\n",
- " <td>13123.0</td>\n",
- " <td>12799.0</td>\n",
- " <td>15087.0</td>\n",
- " <td>14188.0</td>\n",
- " <td>12571.0</td>\n",
- " <td>14560.0</td>\n",
- " <td>13841.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>6</td>\n",
- " <td>12534.0</td>\n",
- " <td>13222.0</td>\n",
- " <td>14111.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>12697.0</td>\n",
- " <td>13730.0</td>\n",
- " <td>13513.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>7</td>\n",
- " <td>12412.0</td>\n",
- " <td>13347.0</td>\n",
- " <td>13925.0</td>\n",
- " <td>13212.0</td>\n",
- " <td>12016.0</td>\n",
- " <td>13510.0</td>\n",
- " <td>13202.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>8</td>\n",
- " <td>12300.0</td>\n",
- " <td>12877.0</td>\n",
- " <td>13753.0</td>\n",
- " <td>13330.0</td>\n",
- " <td>12718.0</td>\n",
- " <td>13071.0</td>\n",
- " <td>13149.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>9</td>\n",
- " <td>12334.0</td>\n",
- " <td>12479.0</td>\n",
- " <td>12190.0</td>\n",
- " <td>12819.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>13181.0</td>\n",
- " <td>12680.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>10</td>\n",
- " <td>12415.0</td>\n",
- " <td>12396.0</td>\n",
- " <td>14859.0</td>\n",
- " <td>12580.0</td>\n",
- " <td>12493.0</td>\n",
- " <td>13007.0</td>\n",
- " <td>13067.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>11</td>\n",
- " <td>12499.0</td>\n",
- " <td>12018.0</td>\n",
- " <td>14367.0</td>\n",
- " <td>12089.0</td>\n",
- " <td>12489.0</td>\n",
- " <td>12475.0</td>\n",
- " <td>12687.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>12</td>\n",
- " <td>12112.0</td>\n",
- " <td>11797.0</td>\n",
- " <td>13397.0</td>\n",
- " <td>11833.0</td>\n",
- " <td>10983.0</td>\n",
- " <td>12027.0</td>\n",
- " <td>12007.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>13</td>\n",
- " <td>12507.0</td>\n",
- " <td>11260.0</td>\n",
- " <td>11310.0</td>\n",
- " <td>11453.0</td>\n",
- " <td>11738.0</td>\n",
- " <td>11987.0</td>\n",
- " <td>11549.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>14</td>\n",
- " <td>18565.0</td>\n",
- " <td>11445.0</td>\n",
- " <td>12272.0</td>\n",
- " <td>11305.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>10325.0</td>\n",
- " <td>11681.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>15</td>\n",
- " <td>20929.0</td>\n",
- " <td>11661.0</td>\n",
- " <td>13843.0</td>\n",
- " <td>9761.0</td>\n",
- " <td>12757.0</td>\n",
- " <td>11575.0</td>\n",
- " <td>11919.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>16</td>\n",
- " <td>24691.0</td>\n",
- " <td>10243.0</td>\n",
- " <td>12639.0</td>\n",
- " <td>11000.0</td>\n",
- " <td>12310.0</td>\n",
- " <td>13061.0</td>\n",
- " <td>11850.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>17</td>\n",
- " <td>24303.0</td>\n",
- " <td>11452.0</td>\n",
- " <td>11596.0</td>\n",
- " <td>12356.0</td>\n",
- " <td>11795.0</td>\n",
- " <td>12023.0</td>\n",
- " <td>11844.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>18</td>\n",
- " <td>20059.0</td>\n",
- " <td>12695.0</td>\n",
- " <td>11538.0</td>\n",
- " <td>10372.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>11586.0</td>\n",
- " <td>11318.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>19</td>\n",
- " <td>NaN</td>\n",
- " <td>10361.0</td>\n",
- " <td>9821.0</td>\n",
- " <td>12114.0</td>\n",
- " <td>12002.0</td>\n",
- " <td>10138.0</td>\n",
- " <td>10887.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>20</td>\n",
- " <td>NaN</td>\n",
- " <td>11717.0</td>\n",
- " <td>11386.0</td>\n",
- " <td>11718.0</td>\n",
- " <td>11222.0</td>\n",
- " <td>11692.0</td>\n",
- " <td>11547.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>21</td>\n",
- " <td>NaN</td>\n",
- " <td>11653.0</td>\n",
- " <td>10974.0</td>\n",
- " <td>11431.0</td>\n",
- " <td>11013.0</td>\n",
- " <td>11334.0</td>\n",
- " <td>11281.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>22</td>\n",
- " <td>NaN</td>\n",
- " <td>9534.0</td>\n",
- " <td>9397.0</td>\n",
- " <td>9603.0</td>\n",
- " <td>9192.0</td>\n",
- " <td>9514.0</td>\n",
- " <td>9448.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>23</td>\n",
- " <td>NaN</td>\n",
- " <td>11461.0</td>\n",
- " <td>11259.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11171.0</td>\n",
- " <td>11603.0</td>\n",
- " <td>11325.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>24</td>\n",
- " <td>NaN</td>\n",
- " <td>10754.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10673.0</td>\n",
- " <td>10858.0</td>\n",
- " <td>10703.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>25</td>\n",
- " <td>NaN</td>\n",
- " <td>10807.0</td>\n",
- " <td>10514.0</td>\n",
- " <td>10930.0</td>\n",
- " <td>10611.0</td>\n",
- " <td>10629.0</td>\n",
- " <td>10698.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>26</td>\n",
- " <td>NaN</td>\n",
- " <td>10824.0</td>\n",
- " <td>10529.0</td>\n",
- " <td>10624.0</td>\n",
- " <td>10526.0</td>\n",
- " <td>10525.0</td>\n",
- " <td>10605.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>27</td>\n",
- " <td>NaN</td>\n",
- " <td>10328.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10545.0</td>\n",
- " <td>10483.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>28</td>\n",
- " <td>NaN</td>\n",
- " <td>10512.0</td>\n",
- " <td>10467.0</td>\n",
- " <td>10643.0</td>\n",
- " <td>10647.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10509.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>29</td>\n",
- " <td>NaN</td>\n",
- " <td>10324.0</td>\n",
- " <td>10353.0</td>\n",
- " <td>10426.0</td>\n",
- " <td>10672.0</td>\n",
- " <td>10028.0</td>\n",
- " <td>10360.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>30</td>\n",
- " <td>NaN</td>\n",
- " <td>10422.0</td>\n",
- " <td>10356.0</td>\n",
- " <td>10147.0</td>\n",
- " <td>10612.0</td>\n",
- " <td>10021.0</td>\n",
- " <td>10311.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>31</td>\n",
- " <td>NaN</td>\n",
- " <td>10564.0</td>\n",
- " <td>10408.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>10433.0</td>\n",
- " <td>9893.0</td>\n",
- " <td>10307.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>32</td>\n",
- " <td>NaN</td>\n",
- " <td>10406.0</td>\n",
- " <td>10542.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10439.0</td>\n",
- " <td>10153.0</td>\n",
- " <td>10363.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>33</td>\n",
- " <td>NaN</td>\n",
- " <td>10405.0</td>\n",
- " <td>10091.0</td>\n",
- " <td>10569.0</td>\n",
- " <td>10312.0</td>\n",
- " <td>10352.0</td>\n",
- " <td>10345.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>34</td>\n",
- " <td>NaN</td>\n",
- " <td>10279.0</td>\n",
- " <td>10199.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10637.0</td>\n",
- " <td>10354.0</td>\n",
- " <td>10433.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>35</td>\n",
- " <td>NaN</td>\n",
- " <td>9478.0</td>\n",
- " <td>9046.0</td>\n",
- " <td>9372.0</td>\n",
- " <td>9226.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>9472.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>36</td>\n",
- " <td>NaN</td>\n",
- " <td>10918.0</td>\n",
- " <td>10680.0</td>\n",
- " <td>10781.0</td>\n",
- " <td>10681.0</td>\n",
- " <td>9092.0</td>\n",
- " <td>10430.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>37</td>\n",
- " <td>NaN</td>\n",
- " <td>10892.0</td>\n",
- " <td>10496.0</td>\n",
- " <td>10692.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10573.0</td>\n",
- " <td>10610.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>38</td>\n",
- " <td>NaN</td>\n",
- " <td>10792.0</td>\n",
- " <td>10498.0</td>\n",
- " <td>10875.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>10381.0</td>\n",
- " <td>10545.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>39</td>\n",
- " <td>NaN</td>\n",
- " <td>10954.0</td>\n",
- " <td>10463.0</td>\n",
- " <td>11027.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10826.0</td>\n",
- " <td>10709.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>40</td>\n",
- " <td>NaN</td>\n",
- " <td>11113.0</td>\n",
- " <td>10869.0</td>\n",
- " <td>11101.0</td>\n",
- " <td>10671.0</td>\n",
- " <td>10700.0</td>\n",
- " <td>10890.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>41</td>\n",
- " <td>NaN</td>\n",
- " <td>11403.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11357.0</td>\n",
- " <td>11016.0</td>\n",
- " <td>11108.0</td>\n",
- " <td>11186.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>42</td>\n",
- " <td>NaN</td>\n",
- " <td>11625.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>11389.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>10799.0</td>\n",
- " <td>11224.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>43</td>\n",
- " <td>NaN</td>\n",
- " <td>11415.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>11152.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>10966.0</td>\n",
- " <td>11093.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>44</td>\n",
- " <td>NaN</td>\n",
- " <td>11567.0</td>\n",
- " <td>10866.0</td>\n",
- " <td>11366.0</td>\n",
- " <td>11463.0</td>\n",
- " <td>11026.0</td>\n",
- " <td>11257.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>45</td>\n",
- " <td>NaN</td>\n",
- " <td>12177.0</td>\n",
- " <td>11588.0</td>\n",
- " <td>11767.0</td>\n",
- " <td>11803.0</td>\n",
- " <td>11312.0</td>\n",
- " <td>11729.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>46</td>\n",
- " <td>NaN</td>\n",
- " <td>12146.0</td>\n",
- " <td>11552.0</td>\n",
- " <td>11773.0</td>\n",
- " <td>12209.0</td>\n",
- " <td>11338.0</td>\n",
- " <td>11803.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>47</td>\n",
- " <td>NaN</td>\n",
- " <td>12472.0</td>\n",
- " <td>11289.0</td>\n",
- " <td>12102.0</td>\n",
- " <td>12064.0</td>\n",
- " <td>11178.0</td>\n",
- " <td>11821.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>48</td>\n",
- " <td>NaN</td>\n",
- " <td>12455.0</td>\n",
- " <td>11392.0</td>\n",
- " <td>12046.0</td>\n",
- " <td>11901.0</td>\n",
- " <td>11216.0</td>\n",
- " <td>11802.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>49</td>\n",
- " <td>NaN</td>\n",
- " <td>12275.0</td>\n",
- " <td>11687.0</td>\n",
- " <td>12342.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>11748.0</td>\n",
- " <td>12157.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>50</td>\n",
- " <td>NaN</td>\n",
- " <td>12853.0</td>\n",
- " <td>12078.0</td>\n",
- " <td>12924.0</td>\n",
- " <td>12076.0</td>\n",
- " <td>11713.0</td>\n",
- " <td>12328.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>51</td>\n",
- " <td>NaN</td>\n",
- " <td>13566.0</td>\n",
- " <td>12649.0</td>\n",
- " <td>14308.0</td>\n",
- " <td>13137.0</td>\n",
- " <td>12136.0</td>\n",
- " <td>13159.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>52</td>\n",
- " <td>NaN</td>\n",
- " <td>8727.0</td>\n",
- " <td>8384.0</td>\n",
- " <td>9904.0</td>\n",
- " <td>9335.0</td>\n",
- " <td>9806.0</td>\n",
- " <td>9231.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>53</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015 \\\n",
- "1 13768.0 12424.0 14701.0 13612.0 14863.0 13751.0 \n",
- "2 16020.0 14487.0 17430.0 15528.0 13154.0 18318.0 \n",
- "3 14723.0 13545.0 16355.0 15231.0 13060.0 16738.0 \n",
- "4 13429.0 13283.0 15971.0 14461.0 12859.0 15712.0 \n",
- "5 13123.0 12799.0 15087.0 14188.0 12571.0 14560.0 \n",
- "6 12534.0 13222.0 14111.0 13805.0 12697.0 13730.0 \n",
- "7 12412.0 13347.0 13925.0 13212.0 12016.0 13510.0 \n",
- "8 12300.0 12877.0 13753.0 13330.0 12718.0 13071.0 \n",
- "9 12334.0 12479.0 12190.0 12819.0 12733.0 13181.0 \n",
- "10 12415.0 12396.0 14859.0 12580.0 12493.0 13007.0 \n",
- "11 12499.0 12018.0 14367.0 12089.0 12489.0 12475.0 \n",
- "12 12112.0 11797.0 13397.0 11833.0 10983.0 12027.0 \n",
- "13 12507.0 11260.0 11310.0 11453.0 11738.0 11987.0 \n",
- "14 18565.0 11445.0 12272.0 11305.0 13060.0 10325.0 \n",
- "15 20929.0 11661.0 13843.0 9761.0 12757.0 11575.0 \n",
- "16 24691.0 10243.0 12639.0 11000.0 12310.0 13061.0 \n",
- "17 24303.0 11452.0 11596.0 12356.0 11795.0 12023.0 \n",
- "18 20059.0 12695.0 11538.0 10372.0 10401.0 11586.0 \n",
- "19 NaN 10361.0 9821.0 12114.0 12002.0 10138.0 \n",
- "20 NaN 11717.0 11386.0 11718.0 11222.0 11692.0 \n",
- "21 NaN 11653.0 10974.0 11431.0 11013.0 11334.0 \n",
- "22 NaN 9534.0 9397.0 9603.0 9192.0 9514.0 \n",
- "23 NaN 11461.0 11259.0 11134.0 11171.0 11603.0 \n",
- "24 NaN 10754.0 10535.0 10698.0 10673.0 10858.0 \n",
- "25 NaN 10807.0 10514.0 10930.0 10611.0 10629.0 \n",
- "26 NaN 10824.0 10529.0 10624.0 10526.0 10525.0 \n",
- "27 NaN 10328.0 10565.0 10565.0 10412.0 10545.0 \n",
- "28 NaN 10512.0 10467.0 10643.0 10647.0 10278.0 \n",
- "29 NaN 10324.0 10353.0 10426.0 10672.0 10028.0 \n",
- "30 NaN 10422.0 10356.0 10147.0 10612.0 10021.0 \n",
- "31 NaN 10564.0 10408.0 10239.0 10433.0 9893.0 \n",
- "32 NaN 10406.0 10542.0 10278.0 10439.0 10153.0 \n",
- "33 NaN 10405.0 10091.0 10569.0 10312.0 10352.0 \n",
- "34 NaN 10279.0 10199.0 10698.0 10637.0 10354.0 \n",
- "35 NaN 9478.0 9046.0 9372.0 9226.0 10239.0 \n",
- "36 NaN 10918.0 10680.0 10781.0 10681.0 9092.0 \n",
- "37 NaN 10892.0 10496.0 10692.0 10401.0 10573.0 \n",
- "38 NaN 10792.0 10498.0 10875.0 10183.0 10381.0 \n",
- "39 NaN 10954.0 10463.0 11027.0 10278.0 10826.0 \n",
- "40 NaN 11113.0 10869.0 11101.0 10671.0 10700.0 \n",
- "41 NaN 11403.0 11048.0 11357.0 11016.0 11108.0 \n",
- "42 NaN 11625.0 11177.0 11389.0 11134.0 10799.0 \n",
- "43 NaN 11415.0 10885.0 11152.0 11048.0 10966.0 \n",
- "44 NaN 11567.0 10866.0 11366.0 11463.0 11026.0 \n",
- "45 NaN 12177.0 11588.0 11767.0 11803.0 11312.0 \n",
- "46 NaN 12146.0 11552.0 11773.0 12209.0 11338.0 \n",
- "47 NaN 12472.0 11289.0 12102.0 12064.0 11178.0 \n",
- "48 NaN 12455.0 11392.0 12046.0 11901.0 11216.0 \n",
- "49 NaN 12275.0 11687.0 12342.0 12733.0 11748.0 \n",
- "50 NaN 12853.0 12078.0 12924.0 12076.0 11713.0 \n",
- "51 NaN 13566.0 12649.0 14308.0 13137.0 12136.0 \n",
- "52 NaN 8727.0 8384.0 9904.0 9335.0 9806.0 \n",
- "53 NaN NaN NaN NaN NaN NaN \n",
- "\n",
- " previous_mean \n",
- "1 13870.2 \n",
- "2 15783.4 \n",
- "3 14985.8 \n",
- "4 14457.2 \n",
- "5 13841.0 \n",
- "6 13513.0 \n",
- "7 13202.0 \n",
- "8 13149.8 \n",
- "9 12680.4 \n",
- "10 13067.0 \n",
- "11 12687.6 \n",
- "12 12007.4 \n",
- "13 11549.6 \n",
- "14 11681.4 \n",
- "15 11919.4 \n",
- "16 11850.6 \n",
- "17 11844.4 \n",
- "18 11318.4 \n",
- "19 10887.2 \n",
- "20 11547.0 \n",
- "21 11281.0 \n",
- "22 9448.0 \n",
- "23 11325.6 \n",
- "24 10703.6 \n",
- "25 10698.2 \n",
- "26 10605.6 \n",
- "27 10483.0 \n",
- "28 10509.4 \n",
- "29 10360.6 \n",
- "30 10311.6 \n",
- "31 10307.4 \n",
- "32 10363.6 \n",
- "33 10345.8 \n",
- "34 10433.4 \n",
- "35 9472.2 \n",
- "36 10430.4 \n",
- "37 10610.8 \n",
- "38 10545.8 \n",
- "39 10709.6 \n",
- "40 10890.8 \n",
- "41 11186.4 \n",
- "42 11224.8 \n",
- "43 11093.2 \n",
- "44 11257.6 \n",
- "45 11729.4 \n",
- "46 11803.6 \n",
- "47 11821.0 \n",
- "48 11802.0 \n",
- "49 12157.0 \n",
- "50 12328.8 \n",
- "51 13159.2 \n",
- "52 9231.2 \n",
- "53 NaN "
- ]
- },
- "execution_count": 187,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines['previous_mean'] = deaths_headlines['total_2019 total_2018 total_2017 total_2016 total_2015'.split()].apply(np.mean, axis=1)\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 188,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f98b809d1d0>"
- ]
- },
- "execution_count": 188,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines['total_2020 total_2019 total_2018 total_2017 total_2016 total_2015'.split()].plot(figsize=(10, 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 190,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines))/float(len(deaths_headlines))*2.*np.pi),\n",
- " 14)\n",
- "# l15, = ax.plot(theta, deaths_headlines['total_2015'], color=\"#b56363\", label=\"2015\") # 0\n",
- "# l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"#a4b563\", label=\"2016\") # 72\n",
- "# l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"#63b584\", label=\"2017\") # 144\n",
- "# l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"#6384b5\", label=\"2018\") # 216\n",
- "# l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"#a4635b\", label=\"2019\") # 288\n",
- "l15, = ax.plot(theta, deaths_headlines['total_2015'], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines['total_2020'], color=\"red\", label=\"2020\")\n",
- "\n",
- "# deaths_headlines.total_2019.plot(ax=ax)\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, all UK\")\n",
- "plt.savefig('deaths-radar.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 193,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "50994.8"
- ]
- },
- "execution_count": 193,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "(deaths_headlines.loc[12:].total_2020 - deaths_headlines.loc[12:].previous_mean).sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "jupytext": {
- "formats": "ipynb,md"
- },
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
projects / covid19.git / blobdiff