How To Label a Pie Plot in Matplotlib and Pandas

To label pie plot in Matplotlib and Pandas DataFrame we can use:

• autopct='%.2f' - to add the values on the pie chart
• labels=df.index and ax.legend(loc=3) to add a legend with labels

Steps to add label to pie plot

• Import libraries - matplotlib and pandas
• change matplotlib style (optional)
• Create example DataFrame
• Create the figure and pair axes - f, axes = plt.subplots(1,2, figsize=(10,5))
  • Set the figure size to 10 - width and 5 - height.
• Plot a pie chart for each column
• Add values
• Add labels
• Add legend to the bottom of the pie chart
• Add title to the pie plot

More information can be found: DataFrame.plot - secondary_y

Data

Suppose we have the next data to plot a pie plot with matplotlib:

Example

import matplotlib.pyplot as plt
plt.style.use('ggplot')

import pandas as pd
df = pd.DataFrame(3 * np.random.rand(5, 2), index=['a', 'b', 'c', 'd', 'e'], columns=['first', 'second'])

f, axes = plt.subplots(1,2, figsize=(10,5))
for ax, col in zip(axes, df.columns):
	df[col].plot(kind='pie', autopct='%.2f', labels=df.index,  ax=ax, title=col, fontsize=10)
	ax.legend(loc=3)

plt.show()

Output

Resources

• Pie plot - Pandas Docs