[Numpy-discussion] ENH: Add the function 'expand_view'

[John Kirkham]

Takes an array and tacks on arbitrary dimensions on either side, which is returned as a view always. Here are the relevant features:

* Creates a view of the array that has the dimensions before and after tacked on to it.
* Takes the before and after arguments independent of each other and the current shape.
* Allows for read and write access to the underlying array.


To see an example of what this would look like, see this PR ( https://github.com/numpy/numpy/pull/6713 ).

[Nathaniel Smith]

Post by John Kirkham
Takes an array and tacks on arbitrary dimensions on either side, which is
* Creates a view of the array that has the dimensions before and after tacked on to it.
* Takes the before and after arguments independent of each other and the current shape.
* Allows for read and write access to the underlying array.

Can you expand this with some discussion of why you want this function, and
why you chose these specific features? (E.g. as mentioned in the PR
comments already, the reason broadcast_to returns a read-only array is that
it was decided that this was less confusing for users, not because of any
technical issue.)

-n

[j***@gmail.com]

Post by John Kirkham

Post by John Kirkham
Takes an array and tacks on arbitrary dimensions on either side, which
* Creates a view of the array that has the dimensions before and after

tacked on to it.

Post by John Kirkham
* Takes the before and after arguments independent of each other and the

current shape.

Post by John Kirkham
* Allows for read and write access to the underlying array.

Can you expand this with some discussion of why you want this function,
and why you chose these specific features? (E.g. as mentioned in the PR
comments already, the reason broadcast_to returns a read-only array is that
it was decided that this was less confusing for users, not because of any
technical issue.)

Why is this a stride_trick?

I thought this looks similar to expand_dims and could maybe be implemented
with some extra options there.



Josef

Post by John Kirkham
-n
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[Benjamin Root]

How is this different from using np.newaxis and broadcasting? Or am I
misunderstanding this?

Ben Root

Post by j***@gmail.com

Post by John Kirkham

Post by John Kirkham
Takes an array and tacks on arbitrary dimensions on either side, which
* Creates a view of the array that has the dimensions before and after

tacked on to it.

Post by John Kirkham
* Takes the before and after arguments independent of each other and

the current shape.

Post by John Kirkham
* Allows for read and write access to the underlying array.

Can you expand this with some discussion of why you want this function,
and why you chose these specific features? (E.g. as mentioned in the PR
comments already, the reason broadcast_to returns a read-only array is that
it was decided that this was less confusing for users, not because of any
technical issue.)

Why is this a stride_trick?
I thought this looks similar to expand_dims and could maybe be implemented
with some extra options there.
Josef

Post by John Kirkham
-n
_______________________________________________
NumPy-Discussion mailing list
https://mail.scipy.org/mailman/listinfo/numpy-discussion

_______________________________________________
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