SF.net SVN: matplotlib:[6047] trunk/matplotlib

Revision: 6047
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6047&view=rev
Author: jswhit
Date: 2008年08月22日 19:19:07 +0000 (2008年8月22日)
Log Message:
-----------
fix quiver so masked values are not plotted.
Modified Paths:
--------------
 trunk/matplotlib/examples/pylab_examples/quiver_demo.py
 trunk/matplotlib/lib/matplotlib/quiver.py
Modified: trunk/matplotlib/examples/pylab_examples/quiver_demo.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/quiver_demo.py	2008年08月21日 15:29:12 UTC (rev 6046)
+++ trunk/matplotlib/examples/pylab_examples/quiver_demo.py	2008年08月22日 19:19:07 UTC (rev 6047)
@@ -9,6 +9,7 @@
 
 '''
 from pylab import *
+from numpy import ma
 
 X,Y = meshgrid( arange(0,2*pi,.2),arange(0,2*pi,.2) )
 U = cos(X)
@@ -64,6 +65,20 @@
 axis([-1, 7, -1, 7])
 title("triangular head; scale with x view; black edges")
 
+#6
+figure()
+M = zeros(U.shape, dtype='bool')
+M[U.shape[0]/3:2*U.shape[0]/3,U.shape[1]/3:2*U.shape[1]/3] = True
+U = ma.masked_array(U, mask=M)
+V = ma.masked_array(V, mask=M)
+Q = quiver( U, V)
+qk = quiverkey(Q, 0.5, 0.92, 2, r'2ドル \frac{m}{s}$', labelpos='W',
+ fontproperties={'weight': 'bold'})
+l,r,b,t = axis()
+dx, dy = r-l, t-b
+axis([l-0.05*dx, r+0.05*dx, b-0.05*dy, t+0.05*dy])
+title('Minimal arguments, no kwargs - masked values')
 
+
 show()
 
Modified: trunk/matplotlib/lib/matplotlib/quiver.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/quiver.py	2008年08月21日 15:29:12 UTC (rev 6046)
+++ trunk/matplotlib/lib/matplotlib/quiver.py	2008年08月22日 19:19:07 UTC (rev 6047)
@@ -334,6 +334,12 @@
 def __init__(self, ax, *args, **kw):
 self.ax = ax
 X, Y, U, V, C = self._parse_args(*args)
+ if C is not None:
+ X, Y, U, V, C = delete_masked_points(X.ravel(),Y.ravel(),U.ravel(),
+ V.ravel(),C.ravel())
+ else:
+ X, Y, U, V = delete_masked_points(X.ravel(),Y.ravel(),U.ravel(),
+ V.ravel())
 self.X = X
 self.Y = Y
 self.XY = np.hstack((X[:,np.newaxis], Y[:,np.newaxis]))
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