Revision: 7118
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7118&view=rev
Author: jdh2358
Date: 2009-05-18 01:11:49 +0000 (Mon, 18 May 2009)
Log Message:
-----------
added fill_betweenx demo -- how did this get dropped from the original patch
commit?
Added Paths:
-----------
trunk/matplotlib/examples/pylab_examples/fill_betweenx.py
Added: trunk/matplotlib/examples/pylab_examples/fill_betweenx.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/fill_betweenx.py
(rev 0)
+++ trunk/matplotlib/examples/pylab_examples/fill_betweenx.py 2009-05-18
01:11:49 UTC (rev 7118)
@@ -0,0 +1,50 @@
+import matplotlib.mlab as mlab
+from matplotlib.pyplot import figure, show
+import numpy as np
+
+## Copy of fill_between.py but using fill_betweenx() instead.
+
+x = np.arange(0.0, 2, 0.01)
+y1 = np.sin(2*np.pi*x)
+y2 = 1.2*np.sin(4*np.pi*x)
+
+fig = figure()
+ax1 = fig.add_subplot(311)
+ax2 = fig.add_subplot(312, sharex=ax1)
+ax3 = fig.add_subplot(313, sharex=ax1)
+
+ax1.fill_betweenx(x, 0, y1)
+ax1.set_ylabel('between y1 and 0')
+
+ax2.fill_betweenx(x, y1, 1)
+ax2.set_ylabel('between y1 and 1')
+
+ax3.fill_betweenx(x, y1, y2)
+ax3.set_ylabel('between y1 and y2')
+ax3.set_xlabel('x')
+
+# now fill between y1 and y2 where a logical condition is met. Note
+# this is different than calling
+# fill_between(x[where], y1[where],y2[where]
+# because of edge effects over multiple contiguous regions.
+fig = figure()
+ax = fig.add_subplot(211)
+ax.plot(y1, x, y2, x, color='black')
+ax.fill_betweenx(x, y1, y2, where=y2>=y1, facecolor='green')
+ax.fill_betweenx(x, y1, y2, where=y2<=y1, facecolor='red')
+ax.set_title('fill between where')
+
+# Test support for masked arrays.
+y2 = np.ma.masked_greater(y2, 1.0)
+ax1 = fig.add_subplot(212, sharex=ax)
+ax1.plot(y1, x, y2, x, color='black')
+ax1.fill_betweenx(x, y1, y2, where=y2>=y1, facecolor='green')
+ax1.fill_betweenx(x, y1, y2, where=y2<=y1, facecolor='red')
+ax1.set_title('Now regions with y2 > 1 are masked')
+
+# This example illustrates a problem; because of the data
+# gridding, there are undesired unfilled triangles at the crossover
+# points. A brute-force solution would be to interpolate all
+# arrays to a very fine grid before plotting.
+
+show()
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