Python:NumPy .repeat()

The .repeat() method of a NumPy ndarray returns a new array where each element is repeated a specified number of times. It can repeat all elements in a flattened array or along a particular axis in multidimensional arrays.

Syntax

ndarray.repeat(repeats, axis=None)

Parameters:

• repeats: Integer or array of integers. Specifies how many times each element should be repeated. If an array, it must match the length of the axis being repeated.
• axis (Optional): The axis along which the values are to be repeated. If None, the array is flattened before repetition.

Return value:

A new array with repeated elements. The resulting shape depends on the repeats value and whether an axis is specified.

Example

The following example creates an ndarray, then uses .repeat() to repeat the elements:

import numpy as np

a = np.array([1])
print("a repeated:", a.repeat(3))

b = np.array([[1,2],[5,6]])
print("b repeated:", b.repeat(2))

c = np.array([[1,2],[0,-1]])
print("c repeated:", c.repeat(2,axis=0))

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The above code generates the following output:

a repeated: [1 1 1]
b repeated: [1 1 2 2 5 5 6 6]
c repeated: [[ 1  2]
 [ 1  2]
 [ 0 -1]
 [ 0 -1]]

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Codebyte Example

Run the following codebyte example to understand the usage of the .repeat() method:

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