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Adding a legend to a Matplotlib boxplot with multiple plots on the same axis
To add a legend to a matplotlib boxplot with multiple plots on the same axis, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Create random data, a and b, using numpy.
Create a new figure or activate an existing figure using figure() method.
Add an axes to the current figure as a subplot arrangement.
Make a box and whisker plot using boxplot() method with different facecolors.
To place the legend, use legend() method with two boxplots, bp1 and bp2, and ordered label for legend elements.
To display the figure, use show() method.
Example
import matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True a = np.random.rand(100, 2) b = np.random.rand(100, 2) fig = plt.figure() ax = fig.add_subplot(111) bp1 = ax.boxplot(a, positions=[1, 3], notch=True, widths=0.35, patch_artist=True, boxprops=dict(facecolor="C0")) bp2 = ax.boxplot(a, positions=[0, 2], notch=True, widths=0.35, patch_artist=True, boxprops=dict(facecolor="C2")) ax.legend([bp1["boxes"][0], bp2["boxes"][0]], ["Box Plot 1", "Box Plot 2"], loc='upper right') plt.show()
Output
Updated on: 03-Jun-2021
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