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
