Mauro Cavalcanti wrote:
> 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?)
>
Mauro: The shape of x, y, and dat must all be (nlats, nlons).
>
>> 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).
>
test.py includes pcolormesh examples (the call signature for pcolor is
the same though).
-Jeff
> Best wishes,
>
>
--
Jeffrey S. Whitaker Phone : (303)497-6313
NOAA/OAR/CDC R/PSD1 FAX : (303)497-6449
325 Broadway Boulder, CO, USA 80305-3328
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