Thanks. I just saw that maskedarray.putmask was gone and reached for the nearest thing. I'll update this to what you suggest. Mike Eric Firing wrote: > md...@us... wrote: >> Revision: 7016 >> >> http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7016&view=rev >> Author: mdboom >> Date: 2009年03月31日 15:22:06 +0000 (2009年3月31日) >> > > ... > >> Modified: branches/v0_98_5_maint/lib/matplotlib/transforms.py >> =================================================================== >> --- branches/v0_98_5_maint/lib/matplotlib/transforms.py 2009年03月31日 >> 15:13:24 UTC (rev 7015) >> +++ branches/v0_98_5_maint/lib/matplotlib/transforms.py 2009年03月31日 >> 15:22:06 UTC (rev 7016) >> @@ -975,8 +975,7 @@ >> if self._invalid: >> points = self._transform.transform(self._bbox.get_points()) >> if ma.isMaskedArray(points): >> - points.putmask(0.0) >> - points = np.asarray(points) >> + np.putmask(points, points.mask, 0.0) >> self._points = points >> self._invalid = 0 >> return self._points > > Mike, > > A cleaner version is this: > > points = points.filled(0.0) > > Or you can replace the conditional and the assignment with the single > line: > > points = np.ma.filled(points, 0.0) > > Example: > > In [6]:np.ma.filled([1,2,3], 0.0) > Out[6]:array([1, 2, 3]) > > In [7]:np.ma.filled(np.ma.array([1,2,3], mask=[False,True,False]), 0.0) > Out[7]:array([1, 0, 3]) > > The version you have actually can fail: > > In [10]:zz = np.ma.ones(5) > > In [11]:zz > Out[11]: > masked_array(data = [ 1. 1. 1. 1. 1.], > mask = False, > fill_value = 1e+20) > > > In [12]:np.putmask(zz, zz.mask, 0) > --------------------------------------------------------------------------- > > ValueError Traceback (most recent call > last) > > /home/efiring/<ipython console> in <module>() > > ValueError: putmask: mask and data must be the same size > > > > Eric -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA