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Python Exercise: Create a plot of total deaths, confirmed, recovered and active cases Country wise where deaths greater than 150

Python Project: COVID-19 Exercise-10 with Solution

Write a Python program to create a plot (lines) of total deaths, confirmed, recovered and active cases Country wise where deaths greater than 150.

Sample Solution:

Python Code:

import pandas as pd
import matplotlib.pyplot as plt
covid_data= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/03-19-2020.csv', usecols = ['Last Update', 'Country/Region', 'Confirmed', 'Deaths', 'Recovered'])
covid_data['Active'] = covid_data['Confirmed'] - covid_data['Deaths'] - covid_data['Recovered']
 
r_data = covid_data.groupby(["Country/Region"])["Deaths", "Confirmed", "Recovered", "Active"].sum().reset_index()
r_data = r_data.sort_values(by='Deaths', ascending=False)
r_data = r_data[r_data['Deaths']>50]
plt.figure(figsize=(15, 5))
plt.plot(r_data['Country/Region'], r_data['Deaths'],color='red')
plt.plot(r_data['Country/Region'], r_data['Confirmed'],color='green')
plt.plot(r_data['Country/Region'], r_data['Recovered'], color='blue')
plt.plot(r_data['Country/Region'], r_data['Active'], color='black')
 
plt.title('Total Deaths(>150), Confirmed, Recovered and Active Cases by Country')
plt.show()

Sample Output:

Python Exercises: COVID-19

Python Code Editor:

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Previous: Write a Python program to get the top 10 countries data (Last Update, Country/Region, Confirmed, Deaths, Recovered) of Novel Coronavirus (COVID-19).
Next: Write a Python program to visualize the state/province wise death cases of Novel Coronavirus (COVID-19) in USA.

What is the difficulty level of this exercise?

Python: Tips of the Day

Returns a list of elements that exist in both lists

Example:

def tips_similarity(x, y):
  return [item for item in x if item in y]

print(tips_similarity([1, 2, 3, 5], [1, 2, 4, 5, 8]))

Output:

[1, 2, 5]