numpy.random.Generator.shuffle
method
-
Generator.shuffle(x, axis=0)
-
Modify a sequence in-place by shuffling its contents.
The order of sub-arrays is changed but their contents remains the same.
- Parameters
-
-
xarray_like
-
The array or list to be shuffled.
-
axisint, optional
-
The axis which
x
is shuffled along. Default is 0. It is only supported onndarray
objects.
-
- Returns
-
- None
Examples
>>> rng = np.random.default_rng() >>> arr = np.arange(10) >>> rng.shuffle(arr) >>> arr [1 7 5 2 9 4 3 6 0 8] # random
>>> arr = np.arange(9).reshape((3, 3)) >>> rng.shuffle(arr) >>> arr array([[3, 4, 5], # random [6, 7, 8], [0, 1, 2]])
>>> arr = np.arange(9).reshape((3, 3)) >>> rng.shuffle(arr, axis=1) >>> arr array([[2, 0, 1], # random [5, 3, 4], [8, 6, 7]])
© 2005–2020 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.19/reference/random/generated/numpy.random.Generator.shuffle.html