Re: [Matplotlib-users] How to plot other than rectangular grid?

[Maria L. <li...@us...>]

Thank you for the suggestion, unfortunately “nearest” method for interpolation still does interpolation to some extra cells outside of my CA grid which fall within the convex hull.
I thought I check if there is existing functionality for that within matplotlib, but it seems that I have to manually “map” my grid to larger rectangular grid for plotting.

Many thanks for your response!
Masha
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li...@us...<mailto:li...@us...>



On Nov 21, 2014, at 12:15 AM, Shahar Shani Kadmiel <ka...@po...<mailto:ka...@po...>> wrote:

When using scipy.interpolate.griddada, you could use 'nearest' if your data is sufficiently dense. This will 'map' your grid onto whatever rectangular grid leaving grid points outside the convex hull of the original grid empty. Well, not empty but nan.
If you do wish to interpolate your dada, you could mask the resulting rectangular grid post interpolation.

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On Fri, Nov 21, 2014 at 2:12 AM, Maria Liukis <li...@us...<mailto:li...@us...>> wrote:

Hello,

I have a problem plotting data which is defined on a grid other than rectangular mesh, and would greatly appreciate any advise. My data is defined for 0.1degree grid for the state of California, and I don’t want to interpolate my data outside of the defined grid when plotting it. I used pcolormesh() function for rectangular area maps, but it only accepts rectangular grid and I was wondering if there is a simple solution to my problem.

The only solution I could find was to use scipy.interpolate,griddata() to “map” my grid to a bounding rectangular grid (bounding rectangle around CA state), but that would also interpolate my data to grid cells outside of CA state, which I don’t want to do.

Many thanks for any hints!
Masha
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li...@us...<mailto:li...@us...>




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