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module3/exo3/exercice.ipynb
View file @ 34f5a9ec
......@@ -6380,7 +6380,7 @@
},
{
"cell_type": "code",
"execution_count": 40,
"execution_count": 51,
"metadata": {},
"outputs": [
{
......@@ -6421,10 +6421,21 @@
" <th>Value</th>\n",
" <th>Flag Codes</th>\n",
" </tr>\n",
" <tr>\n",
" <th>LOCATION</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>138</th>\n",
" <th>AUT</th>\n",
" <td>AUT</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6435,7 +6446,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>228</th>\n",
" <th>BEL</th>\n",
" <td>BEL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6446,7 +6457,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>334</th>\n",
" <th>CAN</th>\n",
" <td>CAN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6457,7 +6468,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>427</th>\n",
" <th>CZE</th>\n",
" <td>CZE</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6468,7 +6479,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>499</th>\n",
" <th>DNK</th>\n",
" <td>DNK</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6479,7 +6490,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>590</th>\n",
" <th>FIN</th>\n",
" <td>FIN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6490,7 +6501,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>663</th>\n",
" <th>FRA</th>\n",
" <td>FRA</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6501,7 +6512,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>732</th>\n",
" <th>DEU</th>\n",
" <td>DEU</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6512,7 +6523,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>844</th>\n",
" <th>GRC</th>\n",
" <td>GRC</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6523,7 +6534,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>912</th>\n",
" <th>HUN</th>\n",
" <td>HUN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6534,7 +6545,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>959</th>\n",
" <th>ISL</th>\n",
" <td>ISL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6545,7 +6556,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1022</th>\n",
" <th>IRL</th>\n",
" <td>IRL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6556,7 +6567,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1158</th>\n",
" <th>ITA</th>\n",
" <td>ITA</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6567,7 +6578,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1269</th>\n",
" <th>JPN</th>\n",
" <td>JPN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6578,7 +6589,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1347</th>\n",
" <th>KOR</th>\n",
" <td>KOR</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6589,7 +6600,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1417</th>\n",
" <th>LUX</th>\n",
" <td>LUX</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6600,7 +6611,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1476</th>\n",
" <th>MEX</th>\n",
" <td>MEX</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6611,7 +6622,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1552</th>\n",
" <th>NLD</th>\n",
" <td>NLD</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6622,7 +6633,7 @@
" <td>P</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1613</th>\n",
" <th>NZL</th>\n",
" <td>NZL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6633,7 +6644,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1668</th>\n",
" <th>NOR</th>\n",
" <td>NOR</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6644,7 +6655,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1751</th>\n",
" <th>POL</th>\n",
" <td>POL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6655,7 +6666,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1844</th>\n",
" <th>PRT</th>\n",
" <td>PRT</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6666,7 +6677,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1918</th>\n",
" <th>SVK</th>\n",
" <td>SVK</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6677,7 +6688,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1997</th>\n",
" <th>ESP</th>\n",
" <td>ESP</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6688,7 +6699,7 @@
" <td>P</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2121</th>\n",
" <th>SWE</th>\n",
" <td>SWE</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6699,7 +6710,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2231</th>\n",
" <th>CHE</th>\n",
" <td>CHE</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6710,7 +6721,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2287</th>\n",
" <th>TUR</th>\n",
" <td>TUR</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6721,7 +6732,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2337</th>\n",
" <th>GBR</th>\n",
" <td>GBR</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6732,7 +6743,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2526</th>\n",
" <th>CHL</th>\n",
" <td>CHL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6743,7 +6754,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2577</th>\n",
" <th>CHN</th>\n",
" <td>CHN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6754,7 +6765,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2630</th>\n",
" <th>EST</th>\n",
" <td>EST</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6765,7 +6776,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2722</th>\n",
" <th>IND</th>\n",
" <td>IND</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6776,7 +6787,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2731</th>\n",
" <th>IDN</th>\n",
" <td>IDN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6787,7 +6798,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2761</th>\n",
" <th>ISR</th>\n",
" <td>ISR</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6798,7 +6809,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2857</th>\n",
" <th>RUS</th>\n",
" <td>RUS</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6809,7 +6820,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2891</th>\n",
" <th>SVN</th>\n",
" <td>SVN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6820,7 +6831,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2974</th>\n",
" <th>COL</th>\n",
" <td>COL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6831,7 +6842,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3010</th>\n",
" <th>LVA</th>\n",
" <td>LVA</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6842,7 +6853,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3136</th>\n",
" <th>LTU</th>\n",
" <td>LTU</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6853,7 +6864,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3238</th>\n",
" <th>CRI</th>\n",
" <td>CRI</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
......@@ -6868,50 +6879,94 @@
"</div>"
],
"text/plain": [
" LOCATION INDICATOR SUBJECT MEASURE FREQUENCY TIME Value Flag Codes\n",
"138 AUT HOSPITALBED TOT 1000HAB A 2017 7.37 NaN\n",
"228 BEL HOSPITALBED TOT 1000HAB A 2017 5.66 NaN\n",
"334 CAN HOSPITALBED TOT 1000HAB A 2017 2.52 NaN\n",
"427 CZE HOSPITALBED TOT 1000HAB A 2017 6.63 NaN\n",
"499 DNK HOSPITALBED TOT 1000HAB A 2017 2.61 NaN\n",
"590 FIN HOSPITALBED TOT 1000HAB A 2017 3.28 NaN\n",
"663 FRA HOSPITALBED TOT 1000HAB A 2017 5.98 NaN\n",
"732 DEU HOSPITALBED TOT 1000HAB A 2017 8.00 NaN\n",
"844 GRC HOSPITALBED TOT 1000HAB A 2017 4.21 NaN\n",
"912 HUN HOSPITALBED TOT 1000HAB A 2017 7.02 NaN\n",
"959 ISL HOSPITALBED TOT 1000HAB A 2017 3.06 NaN\n",
"1022 IRL HOSPITALBED TOT 1000HAB A 2017 2.96 NaN\n",
"1158 ITA HOSPITALBED TOT 1000HAB A 2017 3.18 NaN\n",
"1269 JPN HOSPITALBED TOT 1000HAB A 2017 13.05 NaN\n",
"1347 KOR HOSPITALBED TOT 1000HAB A 2017 12.27 NaN\n",
"1417 LUX HOSPITALBED TOT 1000HAB A 2017 4.66 NaN\n",
"1476 MEX HOSPITALBED TOT 1000HAB A 2017 1.38 NaN\n",
"1552 NLD HOSPITALBED TOT 1000HAB A 2017 3.32 P\n",
"1613 NZL HOSPITALBED TOT 1000HAB A 2017 2.71 NaN\n",
"1668 NOR HOSPITALBED TOT 1000HAB A 2017 3.60 NaN\n",
"1751 POL HOSPITALBED TOT 1000HAB A 2017 6.62 NaN\n",
"1844 PRT HOSPITALBED TOT 1000HAB A 2017 3.39 NaN\n",
"1918 SVK HOSPITALBED TOT 1000HAB A 2017 5.82 NaN\n",
"1997 ESP HOSPITALBED TOT 1000HAB A 2017 2.97 P\n",
"2121 SWE HOSPITALBED TOT 1000HAB A 2017 2.22 NaN\n",
"2231 CHE HOSPITALBED TOT 1000HAB A 2017 4.53 NaN\n",
"2287 TUR HOSPITALBED TOT 1000HAB A 2017 2.81 NaN\n",
"2337 GBR HOSPITALBED TOT 1000HAB A 2017 2.54 NaN\n",
"2526 CHL HOSPITALBED TOT 1000HAB A 2017 2.11 NaN\n",
"2577 CHN HOSPITALBED TOT 1000HAB A 2017 4.34 NaN\n",
"2630 EST HOSPITALBED TOT 1000HAB A 2017 4.69 NaN\n",
"2722 IND HOSPITALBED TOT 1000HAB A 2017 0.53 NaN\n",
"2731 IDN HOSPITALBED TOT 1000HAB A 2017 1.04 NaN\n",
"2761 ISR HOSPITALBED TOT 1000HAB A 2017 3.02 NaN\n",
"2857 RUS HOSPITALBED TOT 1000HAB A 2017 8.05 NaN\n",
"2891 SVN HOSPITALBED TOT 1000HAB A 2017 4.50 NaN\n",
"2974 COL HOSPITALBED TOT 1000HAB A 2017 1.70 NaN\n",
"3010 LVA HOSPITALBED TOT 1000HAB A 2017 5.57 NaN\n",
"3136 LTU HOSPITALBED TOT 1000HAB A 2017 6.56 NaN\n",
"3238 CRI HOSPITALBED TOT 1000HAB A 2017 1.13 NaN"
" LOCATION INDICATOR SUBJECT MEASURE FREQUENCY TIME Value \\\n",
"LOCATION \n",
"AUT AUT HOSPITALBED TOT 1000HAB A 2017 7.37 \n",
"BEL BEL HOSPITALBED TOT 1000HAB A 2017 5.66 \n",
"CAN CAN HOSPITALBED TOT 1000HAB A 2017 2.52 \n",
"CZE CZE HOSPITALBED TOT 1000HAB A 2017 6.63 \n",
"DNK DNK HOSPITALBED TOT 1000HAB A 2017 2.61 \n",
"FIN FIN HOSPITALBED TOT 1000HAB A 2017 3.28 \n",
"FRA FRA HOSPITALBED TOT 1000HAB A 2017 5.98 \n",
"DEU DEU HOSPITALBED TOT 1000HAB A 2017 8.00 \n",
"GRC GRC HOSPITALBED TOT 1000HAB A 2017 4.21 \n",
"HUN HUN HOSPITALBED TOT 1000HAB A 2017 7.02 \n",
"ISL ISL HOSPITALBED TOT 1000HAB A 2017 3.06 \n",
"IRL IRL HOSPITALBED TOT 1000HAB A 2017 2.96 \n",
"ITA ITA HOSPITALBED TOT 1000HAB A 2017 3.18 \n",
"JPN JPN HOSPITALBED TOT 1000HAB A 2017 13.05 \n",
"KOR KOR HOSPITALBED TOT 1000HAB A 2017 12.27 \n",
"LUX LUX HOSPITALBED TOT 1000HAB A 2017 4.66 \n",
"MEX MEX HOSPITALBED TOT 1000HAB A 2017 1.38 \n",
"NLD NLD HOSPITALBED TOT 1000HAB A 2017 3.32 \n",
"NZL NZL HOSPITALBED TOT 1000HAB A 2017 2.71 \n",
"NOR NOR HOSPITALBED TOT 1000HAB A 2017 3.60 \n",
"POL POL HOSPITALBED TOT 1000HAB A 2017 6.62 \n",
"PRT PRT HOSPITALBED TOT 1000HAB A 2017 3.39 \n",
"SVK SVK HOSPITALBED TOT 1000HAB A 2017 5.82 \n",
"ESP ESP HOSPITALBED TOT 1000HAB A 2017 2.97 \n",
"SWE SWE HOSPITALBED TOT 1000HAB A 2017 2.22 \n",
"CHE CHE HOSPITALBED TOT 1000HAB A 2017 4.53 \n",
"TUR TUR HOSPITALBED TOT 1000HAB A 2017 2.81 \n",
"GBR GBR HOSPITALBED TOT 1000HAB A 2017 2.54 \n",
"CHL CHL HOSPITALBED TOT 1000HAB A 2017 2.11 \n",
"CHN CHN HOSPITALBED TOT 1000HAB A 2017 4.34 \n",
"EST EST HOSPITALBED TOT 1000HAB A 2017 4.69 \n",
"IND IND HOSPITALBED TOT 1000HAB A 2017 0.53 \n",
"IDN IDN HOSPITALBED TOT 1000HAB A 2017 1.04 \n",
"ISR ISR HOSPITALBED TOT 1000HAB A 2017 3.02 \n",
"RUS RUS HOSPITALBED TOT 1000HAB A 2017 8.05 \n",
"SVN SVN HOSPITALBED TOT 1000HAB A 2017 4.50 \n",
"COL COL HOSPITALBED TOT 1000HAB A 2017 1.70 \n",
"LVA LVA HOSPITALBED TOT 1000HAB A 2017 5.57 \n",
"LTU LTU HOSPITALBED TOT 1000HAB A 2017 6.56 \n",
"CRI CRI HOSPITALBED TOT 1000HAB A 2017 1.13 \n",
"\n",
" Flag Codes \n",
"LOCATION \n",
"AUT NaN \n",
"BEL NaN \n",
"CAN NaN \n",
"CZE NaN \n",
"DNK NaN \n",
"FIN NaN \n",
"FRA NaN \n",
"DEU NaN \n",
"GRC NaN \n",
"HUN NaN \n",
"ISL NaN \n",
"IRL NaN \n",
"ITA NaN \n",
"JPN NaN \n",
"KOR NaN \n",
"LUX NaN \n",
"MEX NaN \n",
"NLD P \n",
"NZL NaN \n",
"NOR NaN \n",
"POL NaN \n",
"PRT NaN \n",
"SVK NaN \n",
"ESP P \n",
"SWE NaN \n",
"CHE NaN \n",
"TUR NaN \n",
"GBR NaN \n",
"CHL NaN \n",
"CHN NaN \n",
"EST NaN \n",
"IND NaN \n",
"IDN NaN \n",
"ISR NaN \n",
"RUS NaN \n",
"SVN NaN \n",
"COL NaN \n",
"LVA NaN \n",
"LTU NaN \n",
"CRI NaN "
]
},
"execution_count": 40,
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
......@@ -6921,9 +6976,1090 @@
"hospital_beds\n",
"# lets use quite recent data only:\n",
"hospital_beds = hospital_beds[hospital_beds[\"TIME\"] == 2017][hospital_beds['SUBJECT'] == 'TOT']\n",
"hospital_beds.index = hospital_beds.LOCATION\n",
"hospital_beds"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"population sources: OECD (2020), Population (indicator). doi: 10.1787/d434f82b-en (Accessed on 25 May 2020) , https://data.oecd.org/pop/population.htm\n",
"\n",
"entries are millions of inhabitants. so we have to multiply with 1e6"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:4: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
" after removing the cwd from sys.path.\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\n",
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"\n",
" .dataframe thead th {\n",
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" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>LOCATION</th>\n",
" <th>INDICATOR</th>\n",
" <th>SUBJECT</th>\n",
" <th>MEASURE</th>\n",
" <th>FREQUENCY</th>\n",
" <th>TIME</th>\n",
" <th>Value</th>\n",
" <th>Flag Codes</th>\n",
" </tr>\n",
" <tr>\n",
" <th>LOCATION</th>\n",
" <th></th>\n",
" <th></th>\n",
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" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>AUS</th>\n",
" <td>AUS</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>24.601860</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>AUT</th>\n",
" <td>AUT</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>8.795073</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BEL</th>\n",
" <td>BEL</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>11.349081</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CAN</th>\n",
" <td>CAN</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>36.540268</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CZE</th>\n",
" <td>CZE</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>10.589526</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DNK</th>\n",
" <td>DNK</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>5.760694</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>FIN</th>\n",
" <td>FIN</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>5.508209</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>FRA</th>\n",
" <td>FRA</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>66.829563</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DEU</th>\n",
" <td>DEU</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>82.656997</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GRC</th>\n",
" <td>GRC</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>10.754679</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HUN</th>\n",
" <td>HUN</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>9.787969</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ISL</th>\n",
" <td>ISL</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>0.343399</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>IRL</th>\n",
" <td>IRL</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4.792490</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ITA</th>\n",
" <td>ITA</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>60.536713</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>JPN</th>\n",
" <td>JPN</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>126.706210</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>KOR</th>\n",
" <td>KOR</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>51.446201</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LUX</th>\n",
" <td>LUX</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>0.596337</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MEX</th>\n",
" <td>MEX</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>124.041731</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NLD</th>\n",
" <td>NLD</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>17.131295</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NZL</th>\n",
" <td>NZL</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4.793900</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NOR</th>\n",
" <td>NOR</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>5.276965</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>POL</th>\n",
" <td>POL</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>38.422346</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PRT</th>\n",
" <td>PRT</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>10.300300</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SVK</th>\n",
" <td>SVK</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>5.439232</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ESP</th>\n",
" <td>ESP</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>46.532869</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SWE</th>\n",
" <td>SWE</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>10.057695</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CHE</th>\n",
" <td>CHE</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>8.451834</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TUR</th>\n",
" <td>TUR</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>80.312708</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GBR</th>\n",
" <td>GBR</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>66.040229</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>USA</th>\n",
" <td>USA</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>325.147121</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BRA</th>\n",
" <td>BRA</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>206.804741</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CHL</th>\n",
" <td>CHL</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>18.419192</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>COL</th>\n",
" <td>COL</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>49.291609</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>EST</th>\n",
" <td>EST</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>1.317384</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ISR</th>\n",
" <td>ISR</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>8.713300</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>RUS</th>\n",
" <td>RUS</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>144.496738</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SVN</th>\n",
" <td>SVN</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.066161</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CHN</th>\n",
" <td>CHN</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>1409.517397</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>IND</th>\n",
" <td>IND</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>1339.180127</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>IDN</th>\n",
" <td>IDN</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>261.890900</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ZAF</th>\n",
" <td>ZAF</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>56.837474</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>EU28</th>\n",
" <td>EU28</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>512.151635</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>OECD</th>\n",
" <td>OECD</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>1294.830176</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LVA</th>\n",
" <td>LVA</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>1.942247</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ARG</th>\n",
" <td>ARG</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>44.044811</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BGR</th>\n",
" <td>BGR</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>7.075947</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CRI</th>\n",
" <td>CRI</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4.947490</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HRV</th>\n",
" <td>HRV</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4.124531</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CYP</th>\n",
" <td>CYP</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>0.859520</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LTU</th>\n",
" <td>LTU</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.828398</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MLT</th>\n",
" <td>MLT</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>0.468005</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ROU</th>\n",
" <td>ROU</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>19.588146</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SAU</th>\n",
" <td>SAU</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>32.612641</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SGP</th>\n",
" <td>SGP</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>3.965796</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>WLD</th>\n",
" <td>WLD</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>7550.262101</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>G20</th>\n",
" <td>G20</td>\n",
" <td>POP</td>\n",
" <td>TOT</td>\n",
" <td>MLN_PER</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4776.332563</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" LOCATION INDICATOR SUBJECT MEASURE FREQUENCY TIME Value \\\n",
"LOCATION \n",
"AUS AUS POP TOT MLN_PER A 2017 24.601860 \n",
"AUT AUT POP TOT MLN_PER A 2017 8.795073 \n",
"BEL BEL POP TOT MLN_PER A 2017 11.349081 \n",
"CAN CAN POP TOT MLN_PER A 2017 36.540268 \n",
"CZE CZE POP TOT MLN_PER A 2017 10.589526 \n",
"DNK DNK POP TOT MLN_PER A 2017 5.760694 \n",
"FIN FIN POP TOT MLN_PER A 2017 5.508209 \n",
"FRA FRA POP TOT MLN_PER A 2017 66.829563 \n",
"DEU DEU POP TOT MLN_PER A 2017 82.656997 \n",
"GRC GRC POP TOT MLN_PER A 2017 10.754679 \n",
"HUN HUN POP TOT MLN_PER A 2017 9.787969 \n",
"ISL ISL POP TOT MLN_PER A 2017 0.343399 \n",
"IRL IRL POP TOT MLN_PER A 2017 4.792490 \n",
"ITA ITA POP TOT MLN_PER A 2017 60.536713 \n",
"JPN JPN POP TOT MLN_PER A 2017 126.706210 \n",
"KOR KOR POP TOT MLN_PER A 2017 51.446201 \n",
"LUX LUX POP TOT MLN_PER A 2017 0.596337 \n",
"MEX MEX POP TOT MLN_PER A 2017 124.041731 \n",
"NLD NLD POP TOT MLN_PER A 2017 17.131295 \n",
"NZL NZL POP TOT MLN_PER A 2017 4.793900 \n",
"NOR NOR POP TOT MLN_PER A 2017 5.276965 \n",
"POL POL POP TOT MLN_PER A 2017 38.422346 \n",
"PRT PRT POP TOT MLN_PER A 2017 10.300300 \n",
"SVK SVK POP TOT MLN_PER A 2017 5.439232 \n",
"ESP ESP POP TOT MLN_PER A 2017 46.532869 \n",
"SWE SWE POP TOT MLN_PER A 2017 10.057695 \n",
"CHE CHE POP TOT MLN_PER A 2017 8.451834 \n",
"TUR TUR POP TOT MLN_PER A 2017 80.312708 \n",
"GBR GBR POP TOT MLN_PER A 2017 66.040229 \n",
"USA USA POP TOT MLN_PER A 2017 325.147121 \n",
"BRA BRA POP TOT MLN_PER A 2017 206.804741 \n",
"CHL CHL POP TOT MLN_PER A 2017 18.419192 \n",
"COL COL POP TOT MLN_PER A 2017 49.291609 \n",
"EST EST POP TOT MLN_PER A 2017 1.317384 \n",
"ISR ISR POP TOT MLN_PER A 2017 8.713300 \n",
"RUS RUS POP TOT MLN_PER A 2017 144.496738 \n",
"SVN SVN POP TOT MLN_PER A 2017 2.066161 \n",
"CHN CHN POP TOT MLN_PER A 2017 1409.517397 \n",
"IND IND POP TOT MLN_PER A 2017 1339.180127 \n",
"IDN IDN POP TOT MLN_PER A 2017 261.890900 \n",
"ZAF ZAF POP TOT MLN_PER A 2017 56.837474 \n",
"EU28 EU28 POP TOT MLN_PER A 2017 512.151635 \n",
"OECD OECD POP TOT MLN_PER A 2017 1294.830176 \n",
"LVA LVA POP TOT MLN_PER A 2017 1.942247 \n",
"ARG ARG POP TOT MLN_PER A 2017 44.044811 \n",
"BGR BGR POP TOT MLN_PER A 2017 7.075947 \n",
"CRI CRI POP TOT MLN_PER A 2017 4.947490 \n",
"HRV HRV POP TOT MLN_PER A 2017 4.124531 \n",
"CYP CYP POP TOT MLN_PER A 2017 0.859520 \n",
"LTU LTU POP TOT MLN_PER A 2017 2.828398 \n",
"MLT MLT POP TOT MLN_PER A 2017 0.468005 \n",
"ROU ROU POP TOT MLN_PER A 2017 19.588146 \n",
"SAU SAU POP TOT MLN_PER A 2017 32.612641 \n",
"SGP SGP POP TOT MLN_PER A 2017 3.965796 \n",
"WLD WLD POP TOT MLN_PER A 2017 7550.262101 \n",
"G20 G20 POP TOT MLN_PER A 2017 4776.332563 \n",
"\n",
" Flag Codes \n",
"LOCATION \n",
"AUS NaN \n",
"AUT NaN \n",
"BEL NaN \n",
"CAN NaN \n",
"CZE NaN \n",
"DNK NaN \n",
"FIN NaN \n",
"FRA NaN \n",
"DEU NaN \n",
"GRC NaN \n",
"HUN NaN \n",
"ISL NaN \n",
"IRL NaN \n",
"ITA NaN \n",
"JPN NaN \n",
"KOR NaN \n",
"LUX NaN \n",
"MEX NaN \n",
"NLD NaN \n",
"NZL NaN \n",
"NOR NaN \n",
"POL NaN \n",
"PRT NaN \n",
"SVK NaN \n",
"ESP NaN \n",
"SWE NaN \n",
"CHE NaN \n",
"TUR NaN \n",
"GBR NaN \n",
"USA NaN \n",
"BRA NaN \n",
"CHL NaN \n",
"COL NaN \n",
"EST NaN \n",
"ISR NaN \n",
"RUS NaN \n",
"SVN NaN \n",
"CHN NaN \n",
"IND NaN \n",
"IDN NaN \n",
"ZAF NaN \n",
"EU28 NaN \n",
"OECD NaN \n",
"LVA NaN \n",
"ARG NaN \n",
"BGR NaN \n",
"CRI NaN \n",
"HRV NaN \n",
"CYP NaN \n",
"LTU NaN \n",
"MLT NaN \n",
"ROU NaN \n",
"SAU NaN \n",
"SGP NaN \n",
"WLD NaN \n",
"G20 NaN "
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# same for population:\n",
"population = pd.read_csv('DP_LIVE_25052020163108372.csv')\n",
"# lets use quite recent data only:\n",
"population = population[population[\"TIME\"] == 2017][population['SUBJECT'] == 'TOT'][population['MEASURE'] == 'MLN_PER']\n",
"population.index = population.LOCATION\n",
"population"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>beds per 1000</th>\n",
" </tr>\n",
" <tr>\n",
" <th>LOCATION</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>AUT</th>\n",
" <td>7.37</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BEL</th>\n",
" <td>5.66</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CAN</th>\n",
" <td>2.52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CZE</th>\n",
" <td>6.63</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DNK</th>\n",
" <td>2.61</td>\n",
" </tr>\n",
" <tr>\n",
" <th>FIN</th>\n",
" <td>3.28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>FRA</th>\n",
" <td>5.98</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DEU</th>\n",
" <td>8.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GRC</th>\n",
" <td>4.21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HUN</th>\n",
" <td>7.02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ISL</th>\n",
" <td>3.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>IRL</th>\n",
" <td>2.96</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ITA</th>\n",
" <td>3.18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>JPN</th>\n",
" <td>13.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>KOR</th>\n",
" <td>12.27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LUX</th>\n",
" <td>4.66</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MEX</th>\n",
" <td>1.38</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NLD</th>\n",
" <td>3.32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NZL</th>\n",
" <td>2.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NOR</th>\n",
" <td>3.60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>POL</th>\n",
" <td>6.62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PRT</th>\n",
" <td>3.39</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SVK</th>\n",
" <td>5.82</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ESP</th>\n",
" <td>2.97</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SWE</th>\n",
" <td>2.22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CHE</th>\n",
" <td>4.53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TUR</th>\n",
" <td>2.81</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GBR</th>\n",
" <td>2.54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CHL</th>\n",
" <td>2.11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CHN</th>\n",
" <td>4.34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>EST</th>\n",
" <td>4.69</td>\n",
" </tr>\n",
" <tr>\n",
" <th>IND</th>\n",
" <td>0.53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>IDN</th>\n",
" <td>1.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ISR</th>\n",
" <td>3.02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>RUS</th>\n",
" <td>8.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SVN</th>\n",
" <td>4.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>COL</th>\n",
" <td>1.70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LVA</th>\n",
" <td>5.57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LTU</th>\n",
" <td>6.56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CRI</th>\n",
" <td>1.13</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" beds per 1000\n",
"LOCATION \n",
"AUT 7.37\n",
"BEL 5.66\n",
"CAN 2.52\n",
"CZE 6.63\n",
"DNK 2.61\n",
"FIN 3.28\n",
"FRA 5.98\n",
"DEU 8.00\n",
"GRC 4.21\n",
"HUN 7.02\n",
"ISL 3.06\n",
"IRL 2.96\n",
"ITA 3.18\n",
"JPN 13.05\n",
"KOR 12.27\n",
"LUX 4.66\n",
"MEX 1.38\n",
"NLD 3.32\n",
"NZL 2.71\n",
"NOR 3.60\n",
"POL 6.62\n",
"PRT 3.39\n",
"SVK 5.82\n",
"ESP 2.97\n",
"SWE 2.22\n",
"CHE 4.53\n",
"TUR 2.81\n",
"GBR 2.54\n",
"CHL 2.11\n",
"CHN 4.34\n",
"EST 4.69\n",
"IND 0.53\n",
"IDN 1.04\n",
"ISR 3.02\n",
"RUS 8.05\n",
"SVN 4.50\n",
"COL 1.70\n",
"LVA 5.57\n",
"LTU 6.56\n",
"CRI 1.13"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"beds_vs_deaths = pd.DataFrame(index=hospital_beds['LOCATION'])\n",
"beds_vs_deaths['beds per 1000'] = hospital_beds['Value']\n",
"beds_vs_deaths"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets take the deaths 30 days after the first day with 150 confirmed cases in a country: (As the epedimic is not over yet)"
]
},
{
"cell_type": "code",
"execution_count": null,
......
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