Donut Plot with Python

The Donut plot is similar to a pie chart, except it has a hole in the middle similar to a donut. In this article, I will walk you through how to create a Donut Plot with the Python programming language.

What are Donut Plots?

Donut plots are pie charts with a hole. All the functionality of a pie chart is also available on the donut chart. However, the donut chart has additional capabilities regarding the hole.

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The data portion of the donut chart is called the “donut”. By default, the ring size is 30% of the ring radius, which means the hole occupies 70%. These percentages are the default values, regardless of the size of the donut. The central hole allows you to inject additional information into the graph.

Now, in this section, I will take you through how to create a donut plot with Python programming language. For this task, I will use the data on Covid-19 spread in India. So let’s get started with the task of creating donut plots with Python by importing the necessary libraries and the dataset:

import pandas as pd
df = pd.read_json("datanew.json")
print(df.head())

I will first create a donut plot with Python by using the matplotlib library for visualizing the Total Positive, Active, and Cured Cases:

The last row in the dataset is an outlier so I will delete the row and then, I will sort the values according to the highest active cases:

df.drop(df.tail(1).index, inplace = True) 
df1 = df.sort_values(by='active', ascending=False)
df3 = df1[:5]

Now, I will create a donut plot with Python to visualize the top 5 states in India with the highest active cases of Covid 19:

I hope you liked this article on how to create donut plots with Python programming language. Feel free to ask your valuable questions in the comments section below.