numpy.random.rand() in Python

About :
numpy.random.rand(d0, d1, …, dn) : creates an array of specified shape and fills it with random values.
Parameters :

d0, d1, ..., dn : [int, optional]Dimension of the returned array we require, 
     If no argument is given a single Python float is returned.

Return :

Array of defined shape, filled with random values.

Code 1 : Randomly constructing 1D array

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# Python Program illustrating
# numpy.random.rand() method
   
import numpy as geek
   
# 1D Array
array = geek.random.rand(5)
print("1D Array filled with random values : \n", array);

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Output :

1D Array filled with random values : 
 [ 0.84503968  0.61570994  0.7619945   0.34994803  0.40113761]

Code 2 : Randomly constructing 2D array

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# Python Program illustrating
# numpy.random.rand() method
   
import numpy as geek
   
# 2D Array   
array = geek.random.rand(3, 4)
print("\n\n2D Array filled with random values : \n", array);

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Output :


2D Array filled with random values : 
 [[ 0.94739375  0.5557614   0.69812121  0.86902435]
 [ 0.94758176  0.22254413  0.21605843  0.44673235]
 [ 0.61683839  0.40570269  0.34369248  0.46799524]]

Code 3 : Randomly constructing 3D array

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# Python Program illustrating
# numpy.random.rand() method
   
import numpy as geek
   
# 3D Array     
array = geek.random.rand(2, 2 ,2)
print("\n\n3D Array filled with random values : \n", array);

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Output :


3D Array filled with random values : 
 [[[ 0.97942627  0.01068711]
  [ 0.35749073  0.22484643]]

 [[ 0.99733022  0.8029555 ]
  [ 0.44111692  0.90537128]]]

References :
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.random.rand.html#numpy.random.rand

Note :
These codes won’t run on online-ID. Please run them on your systems to explore the working.
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