np.matlib.repmat
时间: 2024-06-02 20:13:55 浏览: 23
np.matlib.repmat() function in NumPy is used to create a matrix by repeating the input array or matrix for the given number of times. The function takes two arguments, the input matrix and the number of times it should be repeated in each dimension. The output matrix will be of the same data type as the input matrix.
Syntax:
numpy.matlib.repmat(arr, repetitions)
Parameters:
arr: Input array to be repeated.
repetitions: Number of repetitions of the input array along each dimension.
Returns:
Repeating matrix of the same data type as the input matrix.
Example:
import numpy as np
arr = np.array([[1, 2], [3, 4]])
repetitions = (2, 3)
repeated_arr = np.matlib.repmat(arr, repetitions)
print(repeated_arr)
Output:
[[1 2 1 2 1 2]
[3 4 3 4 3 4]
[1 2 1 2 1 2]
[3 4 3 4 3 4]]
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