COVID-19 Tracker Using Python
- Around the world, the Corona virus Pandemic is affecting people and their communities. It might impact different areas in varying ways, but the virus causing the COVID-19 disease has reached a level of global pervasiveness. The situation is constantly evolving so it can be hard to keep track of.
- If you are in the any country, there is a COVID-19 Tracking Project which provides up-to-date statistics for the nation as a whole world on the number of tests administered, positive cases, and the death toll. The project also provides this data in the form of an API.
Need to Install:
Source Code:
from covid import Covid
import matplotlib.pyplot as pyplot
country = input("Enter Your Country Name: ")
covid = Covid()
data = covid.get_status_by_country_name(country)
cadr = {
key: data[key]
for key in data.keys() & {"confirmed", "active", "deaths", "recovered"}
}
n = list(cadr.keys())
v = list(cadr.values())
print(cadr)
pyplot.title(country)
pyplot.bar(range(len(cadr)), v, tick_label=n)
pyplot.show()
import matplotlib.pyplot as pyplot
country = input("Enter Your Country Name: ")
covid = Covid()
data = covid.get_status_by_country_name(country)
cadr = {
key: data[key]
for key in data.keys() & {"confirmed", "active", "deaths", "recovered"}
}
n = list(cadr.keys())
v = list(cadr.values())
print(cadr)
pyplot.title(country)
pyplot.bar(range(len(cadr)), v, tick_label=n)
pyplot.show()
Output:
- COVID-19 CORONA VIRUS : Top Twenty Most-Affected Countries.
1. US (United States)
Graph
2. Spain
Graph
3. Italy
Graph
4. Germany
Graph
5. UK(United Kingdom)
Graph
6. France
Graph
7. Turkey
Graph
8. Iran
Graph
9. Russia
Graph
10. China
Graph
11. Brazil
Graph
12. Canada
Graph
13. Belgium
Graph
14. Netherlands
Graph
15. Switzerland
Graph
16. India
Graph
17. Peru
Graph
18. Portugal
Graph
19. Ecuador
Graph
20. Ireland
Graph
