Resizing axes with constrained layoutΒΆ

Constrained layout attempts to resize subplots in a figure so that there are no overlaps between axes objects and labels on the axes.

See Constrained Layout Guide for more details and Tight Layout guide for an alternative.

import matplotlib.pyplot as plt


def example_plot(ax):
    ax.plot([1, 2])
    ax.set_xlabel('x-label', fontsize=12)
    ax.set_ylabel('y-label', fontsize=12)
    ax.set_title('Title', fontsize=14)

If we don't use constrained_layout, then labels overlap the axes

fig, axs = plt.subplots(nrows=2, ncols=2, constrained_layout=False)

for ax in axs.flat:
    example_plot(ax)
Title, Title, Title, Title

adding constrained_layout=True automatically adjusts.

fig, axs = plt.subplots(nrows=2, ncols=2, constrained_layout=True)

for ax in axs.flat:
    example_plot(ax)
Title, Title, Title, Title

Below is a more complicated example using nested gridspecs.

fig = plt.figure(constrained_layout=True)

import matplotlib.gridspec as gridspec

gs0 = gridspec.GridSpec(1, 2, figure=fig)

gs1 = gridspec.GridSpecFromSubplotSpec(3, 1, subplot_spec=gs0[0])
for n in range(3):
    ax = fig.add_subplot(gs1[n])
    example_plot(ax)


gs2 = gridspec.GridSpecFromSubplotSpec(2, 1, subplot_spec=gs0[1])
for n in range(2):
    ax = fig.add_subplot(gs2[n])
    example_plot(ax)

plt.show()
Title, Title, Title, Title, Title

References

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

Total running time of the script: ( 0 minutes 2.908 seconds)

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