Revision: 6920
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6920&view=rev
Author: mmetz_bn
Date: 2009-02-18 14:44:08 +0000 (Wed, 18 Feb 2009)
Log Message:
-----------
Added scatter_hist example
Added Paths:
-----------
branches/v0_98_5_maint/examples/pylab_examples/scatter_hist.py
Added: branches/v0_98_5_maint/examples/pylab_examples/scatter_hist.py
===================================================================
--- branches/v0_98_5_maint/examples/pylab_examples/scatter_hist.py
(rev 0)
+++ branches/v0_98_5_maint/examples/pylab_examples/scatter_hist.py
2009-02-18 14:44:08 UTC (rev 6920)
@@ -0,0 +1,49 @@
+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()
This was sent by the SourceForge.net collaborative development platform, the
world's largest Open Source development site.
------------------------------------------------------------------------------
Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA
-OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise
-Strategies to boost innovation and cut costs with open source participation
-Receive a $600 discount off the registration fee with the source code: SFAD
http://p.sf.net/sfu/XcvMzF8H
_______________________________________________
Matplotlib-checkins mailing list
Matplotlib-checkins@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins
