[Numpy-discussion] Does x[True] trigger basic or advanced indexing?

[Eric Wieser]

Increasingly, NumPy does not considers booleans to be integer types, and
indexing is one of these cases.

So no, it will not be treated as a tuple of integers, but as a 0d mask

Eric

On Wed, 13 Dec 2017 at 12:44 Joe <solarjoe at posteo.org> wrote:

> Hi,
>
> yet another question.
>
> I looked through the indexing rules in the
> documentation but I count not find which one
> applies to x[True] and  x[False]
>
> that might e.g result from
>
> import numpy as np
> x = np.array(3)
> x[x>5]
> x[x<1]
> x[True]
> x[False]
>
> x = np.random.rand(2,3)
> x[x>5]
> x[x<1]
> x[True]
> x[False]
>
> I understood that they are equivalent to
>
> x[(False,)]
>
> I tested it and it looks like advanced indexing,
> but I try to unterstand the logic behind this,
> if there is any :)
>
> In x[x<1] the x<1 is a mask and thus I guess it is a
> "tuple with at least one sequence object or ndarray (of data type
> integer or bool)", right?
>
> Or will x[True] trigger basic indexing as it is "a tuple of integers"
> because True will be converted to Int?
>
> Cheers,
> Joe
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