Python Exercise: Get the latest number of confirmed, deaths, recovered and active cases of Novel Coronavirus Country wise
Python Project: COVID-19 Exercise-2 with Solution
Write a Python program to get the latest number of confirmed, deaths, recovered and active cases of Novel Coronavirus (COVID-19) Country wise.
Sample Solution:
Python Code:
import pandas as pd
covid_data= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/03-17-2020.csv')
covid_data['Active'] = covid_data['Confirmed'] - covid_data['Deaths'] - covid_data['Recovered']
result = covid_data.groupby('Country/Region')['Confirmed', 'Deaths', 'Recovered', 'Active'].sum().reset_index()
print(result)
Sample Output:
Country/Region Confirmed Deaths Recovered Active 0 Afghanistan 22 0 1 21 1 Albania 55 1 0 54 2 Algeria 60 4 12 44 3 Andorra 39 0 1 38 4 Antigua and Barbuda 1 0 0 1 5 Argentina 68 2 3 63 6 Armenia 78 0 1 77 7 Aruba 3 0 0 3 8 Australia 452 5 23 424 9 Austria 1332 3 1 1328 10 Azerbaijan 28 1 6 21 11 Bahrain 228 1 81 146 12 Bangladesh 10 0 3 7 13 Barbados 2 0 0 2 14 Belarus 36 0 3 33 15 Belgium 1243 10 1 1232 16 Benin 1 0 0 1 17 Bhutan 1 0 0 1 18 Bolivia 11 0 0 11 19 Bosnia and Herzegovina 26 0 2 24 20 Brazil 321 1 2 318 21 Brunei 56 0 0 56 22 Bulgaria 67 2 0 65 23 Burkina Faso 15 0 0 15 24 Cambodia 33 0 1 32 25 Cameroon 10 0 0 10 26 Canada 478 5 9 464 27 Central African Republic 1 0 0 1 28 Chile 201 0 0 201 29 China 81058 3230 68798 9030 30 Colombia 65 0 1 64 31 Congo (Brazzaville) 1 0 0 1 32 Congo (Kinshasa) 3 0 0 3 33 Costa Rica 41 0 0 41 34 Cote d'Ivoire 5 0 1 4 35 Croatia 65 0 4 61 36 Cruise Ship 696 7 325 364 37 Cuba 5 0 0 5 38 Cyprus 46 0 0 46 39 Czechia 396 0 3 393 40 Denmark 1024 4 1 1019 41 Dominican Republic 21 1 0 20 42 Ecuador 58 2 0 56 43 Egypt 196 4 32 160 44 Equatorial Guinea 1 0 0 1 45 Estonia 225 0 1 224 46 Eswatini 1 0 0 1 47 Ethiopia 5 0 0 5 48 Finland 321 0 10 311 49 France 7683 148 12 7523 50 French Guiana 11 0 0 11 51 Gabon 1 0 0 1 52 Georgia 34 0 1 33 53 Germany 9257 24 67 9166 54 Ghana 7 0 0 7 55 Greece 387 5 8 374 56 Greenland 1 0 0 1 57 Guadeloupe 18 0 0 18 58 Guam 3 0 0 3 59 Guatemala 6 1 0 5 60 Guernsey 0 0 0 0 61 Guinea 1 0 0 1 62 Guyana 7 1 0 6 63 Holy See 1 0 0 1 64 Honduras 8 0 0 8 65 Hungary 50 1 2 47 66 Iceland 220 1 0 219 67 India 142 3 14 125 68 Indonesia 172 5 8 159 69 Iran 16169 988 5389 9792 70 Iraq 154 11 32 111 71 Ireland 223 2 5 216 72 Israel 337 0 11 326 73 Italy 31506 2503 2941 26062 74 Jamaica 12 0 2 10 75 Japan 878 29 144 705 76 Jersey 0 0 0 0 77 Jordan 34 0 1 33 78 Kazakhstan 33 0 0 33 79 Kenya 3 0 0 3 80 Korea, South 8320 81 1407 6832 81 Kosovo 2 0 0 2 82 Kuwait 130 0 9 121 83 Latvia 49 0 1 48 84 Lebanon 120 3 3 114 85 Liberia 1 0 0 1 86 Liechtenstein 7 0 0 7 87 Lithuania 25 0 1 24 88 Luxembourg 140 1 0 139 89 Malaysia 673 2 49 622 90 Maldives 13 0 0 13 91 Malta 38 0 2 36 92 Martinique 16 1 0 15 93 Mauritania 1 0 0 1 94 Mayotte 1 0 0 1 95 Mexico 82 0 4 78 96 Moldova 30 0 1 29 97 Monaco 7 0 0 7 98 Mongolia 5 0 0 5 99 Montenegro 2 0 0 2 100 Morocco 38 2 1 35 101 Namibia 2 0 0 2 102 Nepal 1 0 1 0 103 Netherlands 1708 43 2 1663 104 New Zealand 12 0 0 12 105 Nigeria 3 0 0 3 106 North Macedonia 26 0 1 25 107 Norway 1463 3 1 1459 108 Oman 24 0 9 15 109 Pakistan 236 0 2 234 110 Panama 69 1 0 68 111 Paraguay 9 0 0 9 112 Peru 117 0 1 116 113 Philippines 187 12 5 170 114 Poland 238 5 13 220 115 Portugal 448 1 3 444 116 Puerto Rico 0 0 0 0 117 Qatar 439 0 4 435 118 Republic of the Congo 0 0 0 0 119 Reunion 9 0 0 9 120 Romania 184 0 16 168 121 Russia 114 0 8 106 122 Rwanda 7 0 0 7 123 Saint Lucia 2 0 0 2 124 Saint Vincent and the Grenadines 1 0 0 1 125 San Marino 109 7 4 98 126 Saudi Arabia 171 0 6 165 127 Senegal 26 0 2 24 128 Serbia 65 0 1 64 129 Seychelles 4 0 0 4 130 Singapore 266 0 114 152 131 Slovakia 72 0 0 72 132 Slovenia 275 1 0 274 133 Somalia 1 0 0 1 134 South Africa 62 0 0 62 135 Spain 11748 533 1028 10187 136 Sri Lanka 44 0 1 43 137 Sudan 1 1 0 0 138 Suriname 1 0 0 1 139 Sweden 1190 7 1 1182 140 Switzerland 2700 27 4 2669 141 Taiwan* 77 1 22 54 142 Tanzania 1 0 0 1 143 Thailand 177 1 41 135 144 The Bahamas 1 0 0 1 145 The Gambia 1 0 0 1 146 Togo 1 0 0 1 147 Trinidad and Tobago 5 0 0 5 148 Tunisia 24 0 0 24 149 Turkey 47 1 0 46 150 US 6421 108 17 6296 151 Ukraine 14 2 0 12 152 United Arab Emirates 98 0 23 75 153 United Kingdom 1960 56 53 1851 154 Uruguay 29 0 0 29 155 Uzbekistan 10 0 0 10 156 Venezuela 33 0 0 33 157 Vietnam 66 0 16 50 158 occupied Palestinian territory 0 0 0 0
Python Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous: Write a Python program to display first 5 rows from COVID-19 dataset.
Next: Write a Python program to get the latest number of confirmed deaths and recovered people of Novel Coronavirus (COVID-19) cases Country/Region - Province/State wise.
What is the difficulty level of this exercise?
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://198.211.115.131/python-exercises/project/covid-19/python-covid-19-exercise-2.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics