How To Create A Pie Chart Using Categorical Data In Matplotlib (Python)

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If you only have categorical data and want to create a pie chart matplotlib, you’ll need to convert and summarise your data into a “percentage distribution” or a summary of the data.

By doing so you can create a percentage distribution that can be plotted by matplotlib.

Below we’ll show you an example of how we did it with only categorical data. 

import pandas as pd
from matplotlib.pyplot import pie, axis, show

df = pd.DataFrame(
    [['Male'],   
     ['Female'],    
     ['Male'], 
     ['Male']], 
    columns=['Gender'])

df.groupby('Gender').size().plot(kind='pie', autopct='%.2f')

Line 1 – 2: Import our packages
Line 4: Create our dataset
Line 11: Using dataframe’s groupby and size function, we’re able to count the number of female and males in our dataset, then using the plot function, we can plot a pie chart based on percentages.

Create A Pie Chart Using Categorical Data In Matplotlib