# numpy matrix operations | repmat() function

numpy.matlib.repmat() is another function for doing matrix operations in numpy. It returns Repeat a 0-D, 1-D or 2-D array or matrix M x N times.

Syntax : numpy.matlib.repmat(a, m, n)

Parameters :
a : [array_like] The input array or matrix which to be repeated.
m, n : [int] The number of times a is repeated along the first and second axes.

Return : [ndarray] repeating array.

Code #1 :

 # Python program explaining # numpy.matlib.repmat() function    # importing numpy and matrix library import numpy as geek import numpy.matlib    # creating input array using   # array function  in_arr = geek.array([[1, 0, 2], [3, 4, 5]]) print("Input array", in_arr)     # making a new array  # using repmat() function  out_mat = geek.matlib.repmat(in_arr, 2, 3)  print ("Output repeated matrix : ", out_mat)

Output :

Input array [[1 0 2]
[3 4 5]]
Output repeated matrix :  [[1 0 2 1 0 2 1 0 2]
[3 4 5 3 4 5 3 4 5]
[1 0 2 1 0 2 1 0 2]
[3 4 5 3 4 5 3 4 5]]

Code #2 :

 # Python program explaining # numpy.matlib.repmat() function    # importing numpy and matrix library import numpy as geek import numpy.matlib    # creating input array using   # arange function  in_arr = geek.arange(3) print("Input array", in_arr)     # making a new array  # using repmat() function  out_mat = geek.matlib.repmat(in_arr, 2, 2)  print ("Output repeated matrix : ", out_mat)

Output :

Input array [0 1 2]
Output repeated matrix :  [[0 1 2 0 1 2]
[0 1 2 0 1 2]]

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