Hi,
I did a quick search of the archives and didn’t find anything so here’s a post of what I’m pretty sure is a bug in griddata of matplotlib.mlab:
Matplotlib version: 0.99.1.1
mlab.py: Line 2527
if hasattr(z,‘mask’):
x = x.compress(z.mask == False)
y = y.compress(z.mask == False)
z = z.compressed()
This throws up if you have a scalar mask of ‘False’, which would happen for instance after numpy.ma.masked_equal() where no values were masked.
A simple fix would be:
if (hasattr(z, 'mask)):
if (hasattr(z.mask, ‘ndim’)):
x = x.compress(z.mask == False)
y = y.compress(z.mask == False)
z = z.compressed()
Not sure what the best numpy array attribute would be to check for.
Thanks,
James
James Conners wrote:
Hi,
I did a quick search of the archives and didn't find anything so here's a post of what I'm pretty sure is a bug in griddata of matplotlib.mlab:
Matplotlib version: 0.99.1.1
mlab.py: Line 2527
if hasattr(z,'mask'):
x = x.compress(z.mask == False)
y = y.compress(z.mask == False)
z = z.compressed()
This throws up if you have a scalar mask of 'False', which would happen for instance after numpy.ma.masked_equal() where no values were masked.
A simple fix would be:
if (hasattr(z, 'mask)):
if (hasattr(z.mask, 'ndim')):
x = x.compress(z.mask == False)
y = y.compress(z.mask == False)
z = z.compressed()
Not sure what the best numpy array attribute would be to check for.
Thanks,
James
James: It's fixed now in SVN, thanks for the report.
-Jeff