Automatically setting tick positions#

Setting the behavior of tick auto-placement.

By default, Matplotlib will choose the number of ticks and tick positions so that there is a reasonable number of ticks on the axis and they are located at "round" numbers.

As a result, there may be no ticks on the edges of the plot.

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(19680801)

fig, ax = plt.subplots()
dots = np.linspace(0.3, 1.2, 10)
X, Y = np.meshgrid(dots, dots)
x, y = X.ravel(), Y.ravel()
ax.scatter(x, y, c=x+y)
plt.show()

If you want to keep ticks at round numbers, and also have ticks at the edges you can switch rcParams["axes.autolimit_mode"] (default: 'data') to 'round_numbers'. This expands the axis limits to the next round number.

plt.rcParams['axes.autolimit_mode'] = 'round_numbers'

# Note: The limits are calculated at draw-time. Therefore, when using
# :rc:`axes.autolimit_mode` in a context manager, it is important that
# the ``show()`` command is within the context.

fig, ax = plt.subplots()
ax.scatter(x, y, c=x+y)
plt.show()

The round numbers autolimit_mode is still respected if you set an additional margin around the data using Axes.set_xmargin / Axes.set_ymargin:

fig, ax = plt.subplots()
ax.scatter(x, y, c=x+y)
ax.set_xmargin(0.8)
plt.show()

Total running time of the script: (0 minutes 1.105 seconds)

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