Automated legend creation in Matplotlib

MatplotlibPythonData Visualization

To automate legend creation in Matplotlib, we can take the following steps −

  • Set the figure size and adjust the padding between and around the subplots.
  • Initialize a variable, N, for number of sample data.
  • Create x, y, c and s data using numpy.
  • Create a figure and a set of subplots using subplots() method.
  • Plot x and y data points with different colors and sizes.
  • Place a legend on the axes.
  • Add an artist to the figure.
  • Create legend handles and labels for a PathCollection.
  • Again, place a legend on the axes for sizes.
  • 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

N = 45
x, y = np.random.rand(2, N)
c = np.random.randint(1, 5, size=N)
s = np.random.randint(10, 220, size=N)
fig, ax = plt.subplots()
scatter = ax.scatter(x, y, c=c, s=s)
legend1 = ax.legend(*scatter.legend_elements(), loc="lower left", title="Classes")
ax.add_artist(legend1)
handles, labels = scatter.legend_elements(prop="sizes", alpha=0.6)
legend2 = ax.legend(handles, labels, loc="upper right", title="Sizes")

plt.show()

Output

raja
Published on 10-Jun-2021 11:57:55
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