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

Python Project: COVID-19 Exercise-11 with Solution

Write a Python program to visualize the state/province wise death 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/03-17-2020.csv')
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'])['Deaths'].sum().reset_index()
us_data_death = us_data[us_data['Deaths'] > 0]
state_fig = px.bar(us_data_death, x='Province/State', y='Deaths', title='State wise deaths reported of COVID-19 in USA', text='Deaths')
state_fig.show()

Jupyter Notebook:


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Previous: Write a Python program to create a plot (lines) of total deaths, confirmed, recovered and active cases Country wise where deaths greater than 150.
Next: Write a Python program to visualize the state/province wise Active cases of Novel Coronavirus (COVID-19) in USA.

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