Robert Kern schrieb:
First, convert the pos array to integers, and just the columns with
indices in them:
ipos = pos[:,:2].astype(int)
Now check the values in the mask corresponding to these positions:
mask_values = mask[ipos[:,0], ipos[:,1]]
Now extract the rows from the original pos array where mask_values is
nonzero:
result = pos[mask_values != 0]
Great!!! That's the way I wanted.
After reading the numpy reference guide I supposed the delete function
was not the right way, but that it's all about cerrect indexing. But I
didn't really know how.
So thanks a lot, also to Ben.
>
> You will want to ask numpy questions on the numpy mailing list.
>
> http://www.scipy.org/Mailing_Lists
>
I ever thought news-groups are the right way for questions like this.
And the mailing list page just confuses me, but I'm trying to get used
to it.
Sebastian
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