Grouped bar chart with labels#
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 = ax.bar(x - width/2, men_means, width, label='Men') rects2 = ax.bar(x + width/2, women_means, width, label='Women') # Add some text for labels, title and custom x-axis tick labels, etc. ax.set_ylabel('Scores') ax.set_title('Scores by group and gender') ax.set_xticks(x, labels) ax.legend() ax.bar_label(rects1, padding=3) ax.bar_label(rects2, padding=3) fig.tight_layout() plt.show()
The use of the following functions, methods, classes and modules is shown in this example: