.. _pylab_examples-scatter_hist: pylab_examples example code: scatter_hist.py ============================================ .. plot:: /home/mdboom/Work/builds/matplotlib/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`)