numpy matrix operations | rand() function Last Updated : 21 Feb, 2019 Comments Improve Suggest changes Like Article Like Report numpy.matlib.rand() is another function for doing matrix operations in numpy. It returns a matrix of random values from a uniform distribution over [0, 1) with given shape. Syntax : numpy.matlib.rand(*args) Parameters : *args : [Arguments] Shape of the output matrix. If given as N integers, each integer specifies the size of one dimension. If given as a tuple, this tuple gives the complete shape. If there are more than one argument and the first argument is a tuple then other arguments are ignored. Return : The matrix of random values. Code #1 : Python3 # Python program explaining # numpy.matlib.rand() function # importing matrix library from numpy import numpy as geek import numpy.matlib # desired 3 x 4 random output matrix out_mat = geek.matlib.rand((3, 4)) print ("Output matrix : ", out_mat) Output : Output matrix : [[ 0.37976085 0.68700838 0.83898103 0.72073804] [ 0.80577587 0.2508264 0.30179229 0.81376797] [ 0.70202528 0.17830863 0.61509844 0.27758369]] Code #2 : Python3 # Python program explaining # numpy.matlib.rand() function # importing numpy and matrix library import numpy as geek import numpy.matlib # desired 1 x 5 random output matrix out_mat = geek.matlib.rand(5) print ("Output matrix : ", out_mat) Output : Output matrix : [[ 0.56138247 0.97881105 0.53380995 0.27486091 0.1603695 ]] Code #3 : Python3 # Python program explaining # numpy.matlib.rand() function # importing numpy and matrix library import numpy as geek import numpy.matlib # more than one argument given out_mat = geek.matlib.rand((5, 3), 4) print ("Output matrix : ", out_mat) Output : Output matrix : [[ 0.86770893 0.35628104 0.19744129] [ 0.90376689 0.58349554 0.9830152 ] [ 0.64711739 0.09531791 0.17555793] [ 0.66141287 0.09164568 0.28818979] [ 0.92225364 0.56779388 0.58498534]] Comment More infoAdvertise with us Next Article numpy matrix operations | rand() function J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-Matrix Function Practice Tags : python Similar Reads numpy matrix operations | randn() function numpy.matlib.randn() is another function for doing matrix operations in numpy. It returns a matrix of random values from a univariate “normal†(Gaussian) distribution of mean 0 and variance 1. Syntax : numpy.matlib.randn(*args) Parameters : *args : [Arguments] Shape of the output matrix. If given as 2 min read 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 r 2 min read numpy matrix operations | eye() function numpy.matlib.eye() is another function for doing matrix operations in numpy. It returns a matrix with ones on the diagonal and zeros elsewhere. Syntax : numpy.matlib.eye(n, M=None, k=0, dtype='float', order='C') Parameters : n : [int] Number of rows in the output matrix. M : [int, optional] Number o 2 min read numpy matrix operations | ones() function numpy.matlib.ones() is another function for doing matrix operations in numpy. It returns a matrix of given shape and type, filled with ones. Syntax : numpy.matlib.ones(shape, dtype=None, order='C') Parameters : shape : [int, int] Number of rows and columns in the output matrix.If shape has length on 2 min read numpy matrix operations | identity() function numpy.matlib.identity() is another function for doing matrix operations in numpy. It returns a square identity matrix of given input size. Syntax : numpy.matlib.identity(n, dtype=None) Parameters : n : [int] Number of rows and columns in the output matrix. dtype : [optional] Desired output data-type 1 min read Like