[Numpy-discussion] ndarray.T2 for 2D transpose

[josef.pktd at gmail.com]

On Thu, Apr 7, 2016 at 2:17 PM, Chris Barker <chris.barker at noaa.gov> wrote:

> On Thu, Apr 7, 2016 at 10:00 AM, Ian Henriksen <
> insertinterestingnamehere at gmail.com> wrote:
>
>> Here's another example that I've seen catch people now and again.
>>
>> A = np.random.rand(100, 100)
>> b =  np.random.rand(10)
>> A * b.T
>>
>
> typo? that was supposed to be
>
> b =  np.random.rand(100). yes?
>
> This is exactly what someone else referred to as the expectations of
> someone that comes from MATLAB, and doesn't yet "get" that 1D arrays are 1D
> arrays.
>
> All of this is EXACTLY the motivation for the matric class -- which never
> took off, and was never complete (it needed a row and column vector
> implementation, if you ask me. But Ithikn the reason it didn't take off is
> that it really isn't that useful, but is different enough from regular
> arrays to be a greater source of confusion. And it was decided that all
> people REALLY wanted was an obviou sway to get matric multiply, which we
> now have with @.
>
> So this discussion brings up that we also need an easy an obvious way to
> make a column vector --
>
> maybe:
>
> np.col_vector(arr)
>
> which would be a synonym for np.reshape(arr, (-1,1))
>
> would that make anyone happy?
>
> NOTE: having transposing a 1D array raise an exception would help remove a
> lot  of the confusion, but it may be too late for that....
>
>
> In this case the user pretty clearly meant to be broadcasting along the
>> rows of A
>> rather than along the columns, but the code fails silently.
>>
>
> hence the exception idea....
>
> maybe a warning?
>

AFAIR, there is a lot of code that works correctly with .T being a noop for
1D
e.g. covariance matrix/inner product x.T dot y as mentioned before.

write unit tests with non square 2d arrays and the exception / test error
shows up fast.

Josef



>
> -CHB
>
>
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