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


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

first second
a 2.353856 2.092165
b 1.502213 1.856740
c 1.491778 1.586964
d 2.310574 0.091085
e 1.991505 0.821967


import matplotlib.pyplot as plt'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)