deleting certain entries in numpy array

[Sebastian Schabe]

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