[Numpy-discussion] [Suggestion] Labelled Array

[Paul Hobson]

Just for posterity -- any future readers to this thread who need to do
pandas-like on record arrays should look at matplotlib's mlab submodule.

I've been in situations (::cough:: Esri production ::cough::) where I've
had one hand tied behind my back and unable to install pandas. mlab was a
big help there.

https://goo.gl/M7Mi8B

-paul



On Mon, Feb 15, 2016 at 1:28 PM, Lluís Vilanova <vilanova at ac.upc.edu> wrote:

> Benjamin Root writes:
>
> > Seems like you are talking about xarray:
> https://github.com/pydata/xarray
>
> Oh, I wasn't aware of xarray, but there's also this:
>
>
> https://people.gso.ac.upc.edu/vilanova/doc/sciexp2/user_guide/data.html#basic-indexing
>
> https://people.gso.ac.upc.edu/vilanova/doc/sciexp2/user_guide/data.html#dimension-oblivious-indexing
>
>
> Cheers,
>   Lluis
>
>
>
> > Cheers!
> > Ben Root
>
> > On Fri, Feb 12, 2016 at 9:40 AM, Sérgio <filaboia at gmail.com> wrote:
>
> >     Hello,
>
>
> >     This is my first e-mail, I will try to make the idea simple.
>
>
> >     Similar to masked array it would be interesting to use a label array
> to
> >     guide operations.
>
>
> >     Ex.:
> >>>> x
> >     labelled_array(data =
>
> >     [[0 1 2]
> >     [3 4 5]
> >     [6 7 8]],
> >     label =
> >     [[0 1 2]
> >     [0 1 2]
> >     [0 1 2]])
>
>
> >>>> sum(x)
> >     array([9, 12, 15])
>
>
> >     The operations would create a new axis for label indexing.
>
>
> >     You could think of it as a collection of masks, one for each label.
>
>
> >     I don't know a way to make something like this efficiently without a
> loop.
> >     Just wondering...
>
>
> >     Sérgio.
>
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>
>
>
>
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