.. _pylab_examples-shared_axis_demo:

pylab_examples example code: shared_axis_demo.py
================================================



.. plot:: /home/tcaswell/source/p/matplotlib/doc/mpl_examples/pylab_examples/shared_axis_demo.py

::

    """
    You can share the x or y axis limits for one axis with another by
    passing an axes instance as a sharex or sharey kwarg.
    
    Changing the axis limits on one axes will be reflected automatically
    in the other, and vice-versa, so when you navigate with the toolbar
    the axes will follow each other on their shared axes.  Ditto for
    changes in the axis scaling (e.g., log vs linear).  However, it is
    possible to have differences in tick labeling, e.g., you can selectively
    turn off the tick labels on one axes.
    
    The example below shows how to customize the tick labels on the
    various axes.  Shared axes share the tick locator, tick formatter,
    view limits, and transformation (e.g., log, linear).  But the ticklabels
    themselves do not share properties.  This is a feature and not a bug,
    because you may want to make the tick labels smaller on the upper
    axes, e.g., in the example below.
    
    If you want to turn off the ticklabels for a given axes (e.g., on
    subplot(211) or subplot(212), you cannot do the standard trick
    
       setp(ax2, xticklabels=[])
    
    because this changes the tick Formatter, which is shared among all
    axes.  But you can alter the visibility of the labels, which is a
    property
    
      setp( ax2.get_xticklabels(), visible=False)
    
    """
    import matplotlib.pyplot as plt
    import numpy as np
    
    t = np.arange(0.01, 5.0, 0.01)
    s1 = np.sin(2*np.pi*t)
    s2 = np.exp(-t)
    s3 = np.sin(4*np.pi*t)
    
    ax1 = plt.subplot(311)
    plt.plot(t, s1)
    plt.setp(ax1.get_xticklabels(), fontsize=6)
    
    # share x only
    ax2 = plt.subplot(312, sharex=ax1)
    plt.plot(t, s2)
    # make these tick labels invisible
    plt.setp(ax2.get_xticklabels(), visible=False)
    
    # share x and y
    ax3 = plt.subplot(313, sharex=ax1, sharey=ax1)
    plt.plot(t, s3)
    plt.xlim(0.01, 5.0)
    plt.show()
    

Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)