Table of Contents
Creating a pie chart from a Pandas dataframe is a simple process. You firstly need to create a dataframe, and then use the .plot.pie() method to plot the dataframe in the form of a pie chart. You can also add a title and labels to the chart, as well as customize the size and colors of the pie chart. Finally, you can save the chart as a PNG image file using the .savefig() method.
You can use the following basic syntax to create a pie chart from a pandas DataFrame:
df.groupby(['group_column']).sum().plot(kind='pie', y='value_column')
The following examples show how to use this syntax in practice.
Example 1: Create Basic Pie Chart
Suppose we have the following two pandas DataFrame:
import pandas as pd #create DataFrame df = pd.DataFrame({'team': ['A', 'A', 'B', 'B', 'B', 'B', 'C', 'C'], 'points': [25, 12, 25, 14, 19, 53, 25, 29]}) #view DataFrame print(df) team points 0 A 25 1 A 12 2 B 25 3 B 14 4 B 19 5 B 53 6 C 25 7 C 29
We can use the following syntax to create a pie chart that displays the portion of total points scored by each team:
df.groupby(['team']).sum().plot(kind='pie', y='points')
Example 2: Create Custom Pie Chart
We can use the following arguments to customize the appearance of the pie chart:
- autopct: Display percentages in pie chart
- colors: Specify colors to use in pie chart
- title: Add title to pie chart
The following code shows how to use these arguments in practice:
df.groupby(['team']).sum().plot(kind='pie', y='points', autopct='%1.0f%%',
colors = ['red', 'pink', 'steelblue'],
title='Points Scored by Team'))
Note that the colors will be assigned to the categories as they appear in the DataFrame.
For example, team ‘A’ appears first in the DataFrame, which is why it received the color ‘red’ in the pie chart.
The following tutorials explain how to create other common plots using a pandas DataFrame: