numpy matrix operations | rand() function

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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]]

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 ]]

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]]