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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
'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
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 1.040 seconds)