Grouped bar chart with labelsΒΆ

This example shows a how to create a grouped bar chart and how to annotate bars with labels.

import matplotlib.pyplot as plt
import numpy as np

labels = ['G1', 'G2', 'G3', 'G4', 'G5']
men_means = [20, 34, 30, 35, 27]
women_means = [25, 32, 34, 20, 25]

x = np.arange(len(labels))  # the label locations
width = 0.35  # the width of the bars

fig, ax = plt.subplots()
rects1 = - width/2, men_means, width, label='Men')
rects2 = + width/2, women_means, width, label='Women')

# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_title('Scores by group and gender')

ax.bar_label(rects1, padding=3)
ax.bar_label(rects2, padding=3)

Scores by group and gender


The use of the following functions, methods, classes and modules is shown in this example:

Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery