You are reading documentation for the unreleased version of Matplotlib. Try searching for the released version of this page instead?
Applications are open for the 2018 John Hunter Matplotlib Summer Fellowship. Apply now!
Version 2.2.2.post1752+g4b1f956cb
Fork me on GitHub

Related Topics

Plotting categorical variablesΒΆ

How to use categorical variables in Matplotlib.

Many times you want to create a plot that uses categorical variables in Matplotlib. Matplotlib allows you to pass categorical variables directly to many plotting functions, which we demonstrate below.

import matplotlib.pyplot as plt

data = {'apples': 10, 'oranges': 15, 'lemons': 5, 'limes': 20}
names = list(data.keys())
values = list(data.values())

fig, axs = plt.subplots(1, 3, figsize=(9, 3), sharey=True)
axs[0].bar(names, values)
axs[1].scatter(names, values)
axs[2].plot(names, values)
fig.suptitle('Categorical Plotting')

This works on both axes:

cat = ["bored", "happy", "bored", "bored", "happy", "bored"]
dog = ["happy", "happy", "happy", "happy", "bored", "bored"]
activity = ["combing", "drinking", "feeding", "napping", "playing", "washing"]

fig, ax = plt.subplots()
ax.plot(activity, dog, label="dog")
ax.plot(activity, cat, label="cat")

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