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Python Exercise: List countries with all cases of Novel Coronavirus died

Python Project: COVID-19 Exercise-7 with Solution

Write a Python program to list countries with all cases of Novel Coronavirus (COVID-19) died.

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')
data = covid_data.groupby('Country/Region')['Confirmed', 'Deaths', 'Recovered'].sum().reset_index()
result = data[data['Confirmed']==data['Deaths']]
result = result[['Country/Region', 'Confirmed', 'Deaths']]
result = result.sort_values('Confirmed', ascending=False)
result = result[result['Confirmed']>0]
result = result.reset_index(drop=True)
print(result)

Sample Output:

 Country/Region  Confirmed  Deaths
0          Sudan          1       1

Python Code Editor:

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Previous: Write a Python program to list countries with no cases of Novel Coronavirus (COVID-19) recovered.
Next: Write a Python program to list countries with all cases of Novel Coronavirus (COVID-19) recovered.

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Python: Tips of the Day

Creates a dictionary with the same keys as the provided dictionary and values generated by running the provided function for each value:

Example:

def tips_map_values(obj, fn):
  ret = {}
  for key in obj.keys():
    ret[key] = fn(obj[key])
  return ret
users = {
  'Owen': { 'user': 'Owen', 'age': 29 },
  'Eddie': { 'user': 'Eddie', 'age': 15 }
}

print(tips_map_values(users, lambda u : u['age'])) # {'Owen': 29, 'Eddie': 15}

Output:

{'Owen': 29, 'Eddie': 15}