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Matplotlib histogram with multiple legend entries
To plot a histogram with multiple legend entries, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create random data using numpy
- Plot a histogram using hist() method.
- Make a list of colors to color the face of each patch.
- Iterate the patches and set face color of each patch.
- Create a list of handles to place the legend.
- Use legend() method for multiple legend entries.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt import numpy as np from matplotlib.patches import Rectangle plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.rayleigh(size=1000) * 35 N, bins, patches = plt.hist(data, 30, ec="k") colors = ["red", "yellow", "green"] for i in range(0, len(bins)-1): patches[i].set_facecolor(colors[i % len(colors)]) handles = [Rectangle((0, 0), 1, 1, color=c, ec="k") for c in colors] labels = ["Red", "Yellow", "Green"] plt.legend(handles, labels) plt.show()
Output
Updated on: 03-Jun-2021
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