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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