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Python Exercise: Visualize the state/province wise combine number of confirmed, deaths, recovered, active Novel Coronavirus cases in USA

Python Project: COVID-19 Exercise-13 with Solution

Write a Python program to visualize the state/province wise combine number of confirmed, deaths, recovered, active Novel Coronavirus (COVID-19) cases 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/03-19-2020.csv')
covid_data['Active'] = covid_data['Confirmed'] - covid_data['Deaths'] - covid_data['Recovered']
combine_us_data = covid_data[covid_data['Country/Region']=='US'].drop(['Country/Region','Latitude', 'Longitude'], axis=1)
combine_us_data = combine_us_data[combine_us_data.sum(axis = 1) > 0]
combine_us_data = combine_us_data.groupby(['Province/State'])['Confirmed', 'Deaths', 'Recovered', 'Active'].sum().reset_index()
combine_us_data = pd.melt(combine_us_data, id_vars='Province/State', value_vars=['Confirmed', 'Deaths', 'Recovered', 'Active'], value_name='Count', var_name='Case')
fig = px.bar(combine_us_data, x='Province/State', y='Count', text='Count', barmode='group', color='Case', title='USA State wise combine number of confirmed, deaths, recovered, active COVID-19 cases')
fig.show()

Jupyter Notebook:


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Previous: Write a Python program to visualize the state/province wise Active cases of Novel Coronavirus (COVID-19) in USA.
Next: Write a Python program to visualize Worldwide Confirmed Novel Coronavirus (COVID-19) cases over time.

Download the above Notebook from here.

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Python: Tips of the Day

Decompose a collection:

Assume we have a function that returns a tuple of two values and we want to assign each value to a separate variable. One way is to use indexing as below:

abc = (5, 10)
x = abc[0]
y = abc[1]
print(x, y)

Output:

5 10

There is a better option that allows us to do the same operation in one line.

x, y = abc
print(x, y)

Output:

5 10

It can be extended to a tuple with more than 2 values or some other data structures such as lists or sets.

x, y, z = {1, 2, 3}
print(x, y, z)
x, y, z = ['a', 'b', 'c']
print(x, y, z)

Output:

1 2 3
a b c