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]]
