.. _pylab_examples-scatter_hist:

pylab_examples example code: scatter_hist.py
============================================



.. plot:: /builddir/build/BUILD/matplotlib-1.2.0/doc/mpl_examples/pylab_examples/scatter_hist.py

::

    import numpy as np
    import matplotlib.pyplot as plt
    from matplotlib.ticker import NullFormatter
    
    # the random data
    x = np.random.randn(1000)
    y = np.random.randn(1000)
    
    nullfmt   = NullFormatter()         # no labels
    
    # definitions for the axes
    left, width = 0.1, 0.65
    bottom, height = 0.1, 0.65
    bottom_h = left_h = left+width+0.02
    
    rect_scatter = [left, bottom, width, height]
    rect_histx = [left, bottom_h, width, 0.2]
    rect_histy = [left_h, bottom, 0.2, height]
    
    # start with a rectangular Figure
    plt.figure(1, figsize=(8,8))
    
    axScatter = plt.axes(rect_scatter)
    axHistx = plt.axes(rect_histx)
    axHisty = plt.axes(rect_histy)
    
    # no labels
    axHistx.xaxis.set_major_formatter(nullfmt)
    axHisty.yaxis.set_major_formatter(nullfmt)
    
    # the scatter plot:
    axScatter.scatter(x, y)
    
    # now determine nice limits by hand:
    binwidth = 0.25
    xymax = np.max( [np.max(np.fabs(x)), np.max(np.fabs(y))] )
    lim = ( int(xymax/binwidth) + 1) * binwidth
    
    axScatter.set_xlim( (-lim, lim) )
    axScatter.set_ylim( (-lim, lim) )
    
    bins = np.arange(-lim, lim + binwidth, binwidth)
    axHistx.hist(x, bins=bins)
    axHisty.hist(y, bins=bins, orientation='horizontal')
    
    axHistx.set_xlim( axScatter.get_xlim() )
    axHisty.set_ylim( axScatter.get_ylim() )
    
    plt.show()
    

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