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numpy.repeat — NumPy v2.3 Manual

numpy.repeat(a, repeats, axis=None)[source]#

Repeat each element of an array after themselves

Parameters:

aarray_like

Input array.

repeatsint or array of ints

The number of repetitions for each element. repeats is broadcasted to fit the shape of the given axis.

axisint, optional

The axis along which to repeat values. By default, use the flattened input array, and return a flat output array.

Returns:

repeated_arrayndarray

Output array which has the same shape as a, except along the given axis.

See also

tile

Tile an array.

unique

Find the unique elements of an array.

Examples

>>> import numpy as np
>>> 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]])

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