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Module « numpy.matlib »

Fonction flip - module numpy.matlib

Signature de la fonction flip

def flip(m, axis=None) 

Description

help(numpy.matlib.flip)

Reverse the order of elements in an array along the given axis.

The shape of the array is preserved, but the elements are reordered.

Parameters
----------
m : array_like
    Input array.
axis : None or int or tuple of ints, optional
     Axis or axes along which to flip over. The default,
     axis=None, will flip over all of the axes of the input array.
     If axis is negative it counts from the last to the first axis.

     If axis is a tuple of ints, flipping is performed on all of the axes
     specified in the tuple.

Returns
-------
out : array_like
    A view of `m` with the entries of axis reversed.  Since a view is
    returned, this operation is done in constant time.

See Also
--------
flipud : Flip an array vertically (axis=0).
fliplr : Flip an array horizontally (axis=1).

Notes
-----
flip(m, 0) is equivalent to flipud(m).

flip(m, 1) is equivalent to fliplr(m).

flip(m, n) corresponds to ``m[...,::-1,...]`` with ``::-1`` at position n.

flip(m) corresponds to ``m[::-1,::-1,...,::-1]`` with ``::-1`` at all
positions.

flip(m, (0, 1)) corresponds to ``m[::-1,::-1,...]`` with ``::-1`` at
position 0 and position 1.

Examples
--------
>>> import numpy as np
>>> A = np.arange(8).reshape((2,2,2))
>>> A
array([[[0, 1],
        [2, 3]],
       [[4, 5],
        [6, 7]]])
>>> np.flip(A, 0)
array([[[4, 5],
        [6, 7]],
       [[0, 1],
        [2, 3]]])
>>> np.flip(A, 1)
array([[[2, 3],
        [0, 1]],
       [[6, 7],
        [4, 5]]])
>>> np.flip(A)
array([[[7, 6],
        [5, 4]],
       [[3, 2],
        [1, 0]]])
>>> np.flip(A, (0, 2))
array([[[5, 4],
        [7, 6]],
       [[1, 0],
        [3, 2]]])
>>> rng = np.random.default_rng()
>>> A = rng.normal(size=(3,4,5))
>>> np.all(np.flip(A,2) == A[:,:,::-1,...])
True

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