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
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
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