No equivalent to numpy.roll in xtensor #1766
Description
From the pydoc
numpy.roll = roll(a, shift, axis=None)
Roll array elements along a given axis.
Elements that roll beyond the last position are re-introduced at
the first.
Parameters
----------
a : array_like
Input array.
shift : int or tuple of ints
The number of places by which elements are shifted. If a tuple,
then `axis` must be a tuple of the same size, and each of the
given axes is shifted by the corresponding number. If an int
while `axis` is a tuple of ints, then the same value is used for
all given axes.
axis : int or tuple of ints, optional
Axis or axes along which elements are shifted. By default, the
array is flattened before shifting, after which the original
shape is restored.
Returns
-------
res : ndarray
Output array, with the same shape as `a`.
See Also
--------
rollaxis : Roll the specified axis backwards, until it lies in a
given position.
Examples
--------
>>> x = np.arange(10)
>>> np.roll(x, 2)
array([8, 9, 0, 1, 2, 3, 4, 5, 6, 7])
>>> np.roll(x, -2)
array([2, 3, 4, 5, 6, 7, 8, 9, 0, 1])
Activity
tdegeus commented on Oct 4, 2019
@serge-sans-paille I do think we indeed miss roll for now. A PR would be very welcome ;), in particular of you're keen on starting to use it shortly.
A workaround for now could be to use pad in the periodic mode and, then view the relevant section.
tort-dla-psa commented on Nov 8, 2019
I agree, it's a very useful thing to have
Implement an equivalent to numpy.roll
Implement an equivalent to numpy.roll
Implement an equivalent to numpy.roll
Implement an equivalent to numpy.roll
Implement an equivalent to numpy.roll
Implement an equivalent to numpy.roll
Implement an equivalent to numpy.roll
Implement an equivalent to numpy.roll
Implement an equivalent to numpy.roll