The numpy.random.rand() function creates an array of specified shape and fills it with random values. Syntax :
numpy.random.rand(d0, d1, ..., dn)
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
Python
# Python Program illustrating# numpy.random.rand() method import numpy as geek # 1D Arrayarray = geek.random.rand(5)print("1D Array filled with random values : \n", array); |
Output :
1D Array filled with random values : [ 0.84503968 0.61570994 0.7619945 0.34994803 0.40113761]
Code 2 : Randomly constructing 2D array
Python
# 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); |
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
Python
# 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); |
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 IDE’s. So please, run them on your systems to explore the working.
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