numpy matrix operations | rand() function

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 :

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# 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) 

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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 :

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# 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) 

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Output :

Output matrix :  [[ 0.56138247  0.97881105  0.53380995  0.27486091  0.1603695 ]]

 

Code #3 :

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# 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) 

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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]]


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