It sounds like you're using an old version of numpy, where boolean scalars were interpreted as integers.
What version are you using? Eric On Thu, Dec 14, 2017, 04:27 Joe <solar...@posteo.org> wrote: > Hello, > thanks for you feedback. > > Sorry, if thie question is stupid and the case below does not make > sense. > I am just trying to understand the logic. > For > > x = np.random.rand(2,3) > > x[True] > x[(True,)] > > or > > x[False] > x[(False,)] > > where True and False are not arrays, > it will pick the first or second row. > > Is this basic indexing then with one the rules > - obj is an integer > - obj is a tuple of slice objects and integers. > ? > > > Am 13.12.2017 21:49 schrieb 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 <solar...@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 > >> _______________________________________________ > >> NumPy-Discussion mailing list > >> NumPy-Discussion@python.org > >> https://mail.python.org/mailman/listinfo/numpy-discussion [1] > > > > > > Links: > > ------ > > [1] https://mail.python.org/mailman/listinfo/numpy-discussion > > > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@python.org > > https://mail.python.org/mailman/listinfo/numpy-discussion > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
