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://www.w3resource.com/python-exercises/project/covid-19/python-covid-19-exercise-2.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics