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NumPy | repeat method

schedule Aug 12, 2023
Last updated
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The np.repeat(~) method is used to create a Numpy array by repeating the provided value.

Parameters

1. a | number or array-like

✜ Data that is to be repeated.

2. repeatslink | int

✜ The number of times you'd like to repeat the value.

3. axislink | int | optional

✜ Axis along which to repeat. By default, you would get a one-dimensional flat array.

Return value

A Numpy array with the first parameter, a, repeated according to your parameters repeats and axis.

Examples

Repeating a number

np.repeat(1, 3)
array([1, 1, 1])

Repeating an one-dimensional array

np.repeat([1,2], 3)
array([1, 1, 1, 2, 2, 2])

Repeating a two-dimensional array

Repeating a two-dimensional array to create a flattened array:

np.repeat([[1,2], [3,4]], 2)
array([1, 1, 2, 2, 3, 3, 4, 4])

Since we did not specify the axis (i.e. the third parameter), we end up with a flattened Numpy array.

Repeating a two-dimensional array vertically

To repeat a two-dimensional array vertically, set axis=0 like follows:

np.repeat([[1,2], [3,4]], 2, axis=0)
array([[1, 2],
[1, 2],
[3, 4],
[3, 4]])

Repeating a two-dimensional array horizontally

To repeat a two-dimensional array horizontally, set axis=1 like follows:

np.repeat([[1,2], [3,4]], 2, axis=1)
array([[1, 1, 2, 2],
[3, 3, 4, 4]])
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Published by Isshin Inada
Edited by 0 others
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