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Python Exercise: Visualize the state/province wise Active cases of Novel Coronavirus in USA

Python Project: COVID-19 Exercise-12 with Solution

Write a Python program to visualize the state/province wise Active cases of Novel Coronavirus (COVID-19) in USA.

Sample Solution:

Python Code:

import pandas as pd
import plotly.express as px
 
covid_data= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/03-18-2020.csv')
covid_data['Active'] = covid_data['Confirmed'] - covid_data['Deaths'] - covid_data['Recovered']
us_data = covid_data[covid_data['Country/Region']=='US'].drop(['Country/Region','Latitude', 'Longitude'], axis=1)
us_data = us_data[us_data.sum(axis = 1) > 0]
 
us_data = us_data.groupby(['Province/State'])['Active'].sum().reset_index()
us_data_death = us_data[us_data['Active'] > 0]
state_fig = px.bar(us_data_death, x='Province/State', y='Active', title='State wise recovery cases of COVID-19 in USA', text='Active')
state_fig.show()

Jupyter Notebook:


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Previous: Write a Python program to visualize the state/province wise death cases of Novel Coronavirus (COVID-19) in USA.
Next: Write a Python program to visualize the state/province wise combine number of confirmed, deaths, recovered, active Novel Coronavirus (COVID-19) cases in USA.

Download the above Notebook from here.

What is the difficulty level of this exercise?

Python: Tips of the Day

Returns True if the provided function returns True for every element in the list, False otherwise

Example:

def tips_every(lst, fn=lambda x: x):
  return all(map(fn, lst))

print(tips_every([2, 4, 3], lambda x: x > 1))
print(tips_every([1, 2, 3]))

Output:

True
True