Dear all,
I'm trying to to show where one set of values have NaN's on the contour plot of
another set of values. I do this by creating a mask as such:
fld = randn(4,4)
fld[:2,:2] = np.nan
mask[mask==0] = np.nan
contourf(arange(4),arange(4),fld)
contourf(arange(4),arange(4),mask)
The problem is that the mask patch doesn't cover the empty space in the fld
contour. Is there any way to make this happen?
My ultimate goal is something like this:
fld2 = randn(4,4)
contourf(arange(4),arange(4),fld2)
contourf(arange(4),arange(4),mask,[1,1], extend='both',
colors='w', alpha=0.5)
to present where fld has NaN's on the fld2 plot.
Many thanks in advance!
Bror Jonsson
"If you have a garden and a Library, You have everything you need." -Cicero
==============================================================
Associate Research Scholar
Princeton University
Department of Geosciences
113 Guyot Hall
Princeton, NJ 08544-1003
USA
AIM, Skype, gTalk: brorfred
Phone: +1-617-818-1096
------------------------------------------------------------------------------
Monitor your physical, virtual and cloud infrastructure from a single
web console. Get in-depth insight into apps, servers, databases, vmware,
SAP, cloud infrastructure, etc. Download 30-day Free Trial.
Pricing starts from $795 for 25 servers or applications!
http://p.sf.net/sfu/zoho_dev2dev_nov
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
