Version 3.0.2
matplotlib
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Pie Demo2

Make a pie charts using pie().

This example demonstrates some pie chart features like labels, varying size, autolabeling the percentage, offsetting a slice and adding a shadow.

import matplotlib.pyplot as plt

# Some data
labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
fracs = [15, 30, 45, 10]

# Make figure and axes
fig, axs = plt.subplots(2, 2)

# A standard pie plot
axs[0, 0].pie(fracs, labels=labels, autopct='%1.1f%%', shadow=True)

# Shift the second slice using explode
axs[0, 1].pie(fracs, labels=labels, autopct='%.0f%%', shadow=True,
              explode=(0, 0.1, 0, 0))

# Adapt radius and text size for a smaller pie
patches, texts, autotexts = axs[1, 0].pie(fracs, labels=labels,
                                          autopct='%.0f%%',
                                          textprops={'size': 'smaller'},
                                          shadow=True, radius=0.5)
# Make percent texts even smaller
plt.setp(autotexts, size='x-small')
autotexts[0].set_color('white')

# Use a smaller explode and turn of the shadow for better visibility
patches, texts, autotexts = axs[1, 1].pie(fracs, labels=labels,
                                          autopct='%.0f%%',
                                          textprops={'size': 'smaller'},
                                          shadow=False, radius=0.5,
                                          explode=(0, 0.05, 0, 0))
plt.setp(autotexts, size='x-small')
autotexts[0].set_color('white')

plt.show()
../../_images/sphx_glr_pie_demo2_001.png

References

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