>>> """
=============================
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()
... 
... #############################################################################
... #
... # .. admonition:: References
... #
... #    The use of the following functions, methods, classes and modules is shown
... #    in this example:
... #
... #    - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`
... #    - `matplotlib.axes.Axes.bar_label` / `matplotlib.pyplot.bar_label`
...