On 14 November 2012 21:05, Bror Jonsson <brorl...@gmail.com> wrote:
> 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
>
Hello Bror,
It is not clear from your code snippets exactly what you are asking for.
Please can you post a full runnable example?
Ian Thomas
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