Dear Jeff,
2008/12/9 Jeff Whitaker <[EMAIL PROTECTED]>:
> Assuming that this is a regular grid (so that using meshgrid makes sense)
> you can
> using pcolor:
> m.pcolormesh(x,y,dat)
Unfortunately, this didn't work. I got the error message (using the
example data from my previous post):
"File "/usr/lib/python2.5/site-packages/matplotlib/axes.py", line
6091, in pcolormesh
C = ma.ravel(C[0:Ny-1, 0:Nx-1]) # data point in each cell is value at
IndexError: too many indices"
> using contourf:
> m.contourf(x,y,dat,clevs)
Not tried because contour maps are not exactly what I need.
> using imshow:
> m.imshow(dat)
Another error message:
" File "/usr/lib/python2.5/site-packages/matplotlib/image.py", line
292, in set_data
raise TypeError("Invalid dimensions for image data")
TypeError: Invalid dimensions for image data"
(Have I to meshgrid the data first?)
> There are examples of all three included with basemap.
Indeed, I could not find an example of pcolormesh(). But the
ccsm_popgrid.py example offers a potential solution for another
problem (but this is the second part of my question).
Best wishes,
--
Dr. Mauro J. Cavalcanti
Ecoinformatics Studio
P.O. Box 46521, CEP 20551-970
Rio de Janeiro, RJ, BRASIL
E-mail: [EMAIL PROTECTED]
Web: http://studio.infobio.net
Linux Registered User #473524 * Ubuntu User #22717
"Life is complex. It consists of real and imaginary parts."
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