Python Exercise: Visualize Worldwide Confirmed Novel Coronavirus cases over time

Last update on December 21 2024 07:56:46 (UTC/GMT +8 hours)

Write a Python program to visualize Worldwide Confirmed Novel Coronavirus (COVID-19) cases over time.

Sample Solution:

Python Code:

import pandas as pd
import plotly.express as px
import plotly.io as pio
pio.templates.default = "plotly_dark"
 
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')
grouped = covid_data.groupby('Last Update')['Last Update', 'Confirmed', 'Deaths'].sum().reset_index()
fig = px.line(grouped, x="Last Update", y="Confirmed",
             title="Worldwide Confirmed Novel Coronavirus(COVID-19) Cases Over Time")
fig.show()

Jupyter Notebook:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: 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.