numpy.repeat#

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]])