On Mi, 2016-07-06 at 15:30 -0400, Benjamin Root wrote:

I don't see how one could define a spec that would take an arbitrary array of indices at which to place new dimensions. By definition, you

You just give a reordered range, so that (1, 0, 2) would be the current 3D version. If 1D, fill in `1` and `2`, if 2D, fill in only `2` (0D, add everything of course). However, I have my doubts that it is actually easier to understand then to write yourself ;).

- Sebastian

don't know how many dimensions are going to be added. If you knew, then you wouldn't be calling this function. I can only imagine simple rules such as 'left' or 'right' or maybe something akin to what at_least3d() implements.

On Wed, Jul 6, 2016 at 3:20 PM, Joseph Fox-Rabinovitz <jfoxrabinovitz @gmail.com> wrote:

On Wed, Jul 6, 2016 at 2:57 PM, Eric Firing efiring@hawaii.edu wrote:

On 2016/07/06 8:25 AM, Benjamin Root wrote:

I wouldn't have the keyword be "where", as that collides with

the notion

of "where" elsewhere in numpy.

Agreed. Maybe "side"?

I have tentatively changed it to "pos". The reason that I don't like "side" is that it implies only a subset of the possible ways that that the position of the new dimensions can be specified. The current implementation only puts things on one side or the other, but I have considered also allowing an array of indices at which to place new dimensions, and/or a dictionary keyed by the starting ndims. I do not think "side" would be appropriate for these extended cases, even if they are very unlikely to ever materialize.

-Joe

(I find atleast_1d and atleast_2d to be very helpful for handling

inputs, as

Ben noted; I'm skeptical as to the value of atleast_3d and

atleast_nd.)

Eric

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