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NumPy | repeat method
schedule Aug 12, 2023
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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. repeats
link | int
✜ The number of times you'd like to repeat the value.
3. axis
link | 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]])
Published by Isshin Inada
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