[Numpy-discussion] Logical indexing and higher-dimensional arrays.
Travis Oliphant
travis@continuum...
Wed Feb 8 16:11:17 CST 2012
On Feb 8, 2012, at 11:17 AM, josef.pktd@gmail.com wrote:
> On Wed, Feb 8, 2012 at 10:29 AM, Sturla Molden <sturla@molden.no> wrote:
>> On 08.02.2012 15:49, Travis Oliphant wrote:
>>
>>> This sort of thing would take time, but is not out of the question in my mind because I suspect the number of users and use-cases of "broadcasted" fancy-indexing is small.
>
> I think I use it quite a bit, and I like that the broadcasting in
> indexing is as flexible as the broadcasting of numpy arrays
> themselves.
>
> x[np.arange(len(x)), np.arange(len(x))] gives the diagonal for example.
>
> or picking a different element from each column, (I don't remember
> where I used that)
>
> It is surprising at first and takes some getting used to, but I think
> it's pretty nice. On the other hand, I always avoid mixing slices and
> indexes because of "strange" results.
It actually is pretty nice once you understand it. Mixing of fancy indexing and slicing is only nice in special circumstances. I think we would have been better off if rather than move the subspace to the beginning of the array, NumPy raised an error in that case.
That would be a useful change.
-Travis
>
> Josef
>
>
>>
>> In Matlab this (misfeature?) is generally used to compensate for the
>> lack of broadbasting. So many Matlab programmers manually broadcast by
>> fancy indexing with an array of (boolean) ones (it's less verbose than
>> reshape). But with broadcasting for binary array operators (NumPy and
>> Fortran 90), this is never needed.
>>
>> Sturla
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