[Numpy-discussion] BOF notes: Fernando's proposal: NumPy ndarray with named axes
Thu Jul 8 22:44:05 CDT 2010
On Thu, Jul 8, 2010 at 1:20 PM, Fernando Perez <firstname.lastname@example.org> 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 give anything but the first element in arr
> would be way too confusing in practice, and likely to cause too many
> 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.
More information about the NumPy-Discussion