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