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
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 wrote:
> Hi,
>
> yet another question.
>
> I looked through the indexing rules i
Hi All,
On behalf of the NumPy team, I am pleased to announce NumPy 1.14.0rc1. Numpy
1.14.0rc1 is the result of seven months of work and contains a large number
of bug fixes and new features, along with several changes with potential
compatibility issues. The major change that users will notice ar
