Hi there, I am trying to plot a surface using plot_surface. As this surface is generated using griddata, the corresponding z-values is a masked array. When I plot this masked array using plot_surface, the colormap is completely upset, the whole surface appears in blue. One can do something like plot_surface(x,y,z.filled(z.mean()),cmap=cmap.jet) but this is not really what one would like to have, because the missing values are being displayed, and in this case, the missing values are certainly not equal to the mean of the surface. Alternatively, it would be nice if griddata allowed to extrapolate a bit out of the convex hull of the given data. It seems that natgrid is able to do this (I found options that specifies this), I installed natgrid, but in the matplotlib interface to natgrid, one cannot specify any options proper to natgrid, and extrapolation seems to be switched off, leading to masked arrays being returned. One more alternative would be that the color calculation for the surface would only be done for the non-masked fields in the masked array, but I do not know how to tell matplotlib to do this or how to do this by hand. Any help appreciated! -- View this message in context: http://old.nabble.com/plot_surface-masked-array-tp27266471p27266471.html Sent from the matplotlib - users mailing list archive at Nabble.com.
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