Version 3.1.2
matplotlib

Related Topics

Sharing axis limits and viewsΒΆ

It's common to make two or more plots which share an axis, e.g., two subplots with time as a common axis. When you pan and zoom around on one, you want the other to move around with you. To facilitate this, matplotlib Axes support a sharex and sharey attribute. When you create a subplot() or axes() instance, you can pass in a keyword indicating what axes you want to share with

Traceback (most recent call last):
  File "/build/matplotlib-tq5J6U/matplotlib-3.1.2/examples/recipes/share_axis_lims_views.py", line 1
    Sharing axis limits and views
            ^
SyntaxError: invalid syntax
Sharing axis limits and views
=============================

It's common to make two or more plots which share an axis, e.g., two
subplots with time as a common axis.  When you pan and zoom around on
one, you want the other to move around with you.  To facilitate this,
matplotlib Axes support a ``sharex`` and ``sharey`` attribute.  When
you create a :func:`~matplotlib.pyplot.subplot` or
:func:`~matplotlib.pyplot.axes` instance, you can pass in a keyword
indicating what axes you want to share with
"""

import numpy as np
import matplotlib.pyplot as plt

t = np.arange(0, 10, 0.01)

ax1 = plt.subplot(211)
ax1.plot(t, np.sin(2*np.pi*t))

ax2 = plt.subplot(212, sharex=ax1)
ax2.plot(t, np.sin(4*np.pi*t))

plt.show()

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