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 :
# 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]]
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Code #2 :
# 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 ]]
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Code #3 :
# 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]]
