[Numpy-discussion] BOF notes: Fernando's proposal: NumPy ndarray with named axes

[Keith Goodman]

On Thu, Jul 8, 2010 at 1:20 PM, Fernando Perez <fperez.net at gmail.com> wrote:

> The consensus at the  BoF (not that it means it's set in stone, simply
> that there was  good chance for back-and-forth on the topic with many
> voices) was that:
>
> 1. There are valid use cases for 'integer ticks',  i.e. integers that
> index arbitrarily into an  array instead of in 0..N-1 fashion.
>
> 2. That having plain arr[0] give anything but the first element in arr
> would be way too confusing in practice, and likely to cause too many
> problems.
>
> 3. That the  best solution to allow integer ticks while retaining
> 'normal' indexing semantics for integers would be to have
>
> arr[int] -> normal indexing
> arr.somethin[int] -> tick-based indexing, where an int can mean anything.

Has the Scipy 2010 BOF consensus been implemented in anyone's fork? I
don't understand the indexing so I'd like to try it.