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Python Exercise: Visualize Worldwide Confirmed Novel Coronavirus cases over time

Python Project: COVID-19 Exercise-14 with Solution

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:


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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.

What is the difficulty level of this exercise?

Python: Tips of the Day

Returns True if the provided function returns True for at least one element in the list, False otherwise

Example:

def some(lst, fn=lambda x: x):
  return any(map(fn, lst))

print(some([0, 1, 2, 0], lambda x: x >= 2 ))
print(some([0, 0, 1, 0]))

Output:

True
True