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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.

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Python: Tips of the Day

F strings:

It is a common practice to add variables inside strings. F strings are by far the coolest way of doing it. To appreciate the f strings more, let's first perform the operation with the format function.

name = 'Owen'
age = 25
print("{} is {} years old".format(name, age))

Output:

Owen is 25 years old

We specify the variables that go inside the curly braces by using the format function at the end. F strings allow for specifying the variables inside the string.

name = 'Owen'
age = 25
print(f"{name} is {age} years old")

Output:

Owen is 25 years old

F strings are easier to follow and type. Moreover, they make the code more readable.

A, B, C = {2, 4, 6}
print(A, B, C)
A, B, C = ['p', 'q', 'r']
print(A, B, C)

Output:

2 4 6
p q r