numpy.repeat
- numpy. repeat ( a, repeats, axis=None ) [source]
-
Repeat elements of an array.
- Parameters
-
- a array_like
-
Input array.
- repeats int or array of ints
-
The number of repetitions for each element.
repeats
is broadcasted to fit the shape of the given axis. - axis int, optional
-
The axis along which to repeat values. By default, use the flattened input array, and return a flat output array.
- Returns
-
- repeated_array ndarray
-
Output array which has the same shape as
a
, except along the given axis.
Examples
>>> np.repeat(3, 4) array([3, 3, 3, 3]) >>> x = np.array([[1,2],[3,4]]) >>> np.repeat(x, 2) array([1, 1, 2, 2, 3, 3, 4, 4]) >>> np.repeat(x, 3, axis=1) array([[1, 1, 1, 2, 2, 2], [3, 3, 3, 4, 4, 4]]) >>> np.repeat(x, [1, 2], axis=0) array([[1, 2], [3, 4], [3, 4]])
© 2005–2021 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.22/reference/generated/numpy.repeat.html