Version 3.1.0
matplotlib
Fork me on GitHub

Table of Contents

Related Topics

Grouped bar chart with labels

Bar charts are useful for visualizing counts, or summary statistics with error bars. This example shows a ways to create a grouped bar chart with Matplotlib and also how to annotate bars with labels.

import matplotlib
import matplotlib.pyplot as plt
import numpy as np


men_means, men_std = (20, 35, 30, 35, 27), (2, 3, 4, 1, 2)
women_means, women_std = (25, 32, 34, 20, 25), (3, 5, 2, 3, 3)

ind = np.arange(len(men_means))  # the x locations for the groups
width = 0.35  # the width of the bars

fig, ax = plt.subplots()
rects1 = ax.bar(ind - width/2, men_means, width, yerr=men_std,
                label='Men')
rects2 = ax.bar(ind + width/2, women_means, width, yerr=women_std,
                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(ind)
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
ax.legend()


def autolabel(rects, xpos='center'):
    """
    Attach a text label above each bar in *rects*, displaying its height.

    *xpos* indicates which side to place the text w.r.t. the center of
    the bar. It can be one of the following {'center', 'right', 'left'}.
    """

    ha = {'center': 'center', 'right': 'left', 'left': 'right'}
    offset = {'center': 0, 'right': 1, 'left': -1}

    for rect in rects:
        height = rect.get_height()
        ax.annotate('{}'.format(height),
                    xy=(rect.get_x() + rect.get_width() / 2, height),
                    xytext=(offset[xpos]*3, 3),  # use 3 points offset
                    textcoords="offset points",  # in both directions
                    ha=ha[xpos], va='bottom')


autolabel(rects1, "left")
autolabel(rects2, "right")

fig.tight_layout()

plt.show()
../../_images/sphx_glr_barchart_001.png

References

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

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