[Numpy-discussion] numpy scalars and savez -- bug?
robert.kern at gmail.com
Fri Apr 19 13:32:24 EDT 2013
On Fri, Apr 19, 2013 at 9:40 PM, Sebastian Berg
<sebastian at sipsolutions.net> wrote:
> Fun fact, array[()] will convert a 0-d array to a scalar, but do nothing
> (or currently create a view) for other arrays. Which is actually a good
> question. Should array[()] force a view or not?
Another fun fact: scalar[()] gives you a rank-0 array. :-)
I think the array[()] behavior follows logically as a limiting form of
multidimensional indexing. Given rank-3 array,
array[(i, j, k)] gives a scalar
array[(i, j)] gives a rank-1 view of the last axis
array[(i,)] gives a rank-2 view of the last 2 axes
array[()] gives a rank-3 view of the last 3 axes (i.e. all of them)
The rank-N-general rules look like so: For a rank-N array, an N-tuple
gives a scalar. Subsequent (N-M)-tuples gives appropriate rank-M views
picked out by the tuple.
I can't explain the scalar[()] behavior, though. :-)
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