numpy random rand in python

The numpy random rand function generates the uniform distributed random numbers and creates an array of the given shape.

Syntax

random.rand(d0, d1, …, dn)

Random values in a given shape.

Create an array of the given shape and populate it with random samples from a uniform distribution over [0, 1).

Parameters

d0, d1, …, dnint, optional

The dimensions of the returned array, must be non-negative. If no argument is given a single Python float is returned.

Returns

outndarray, shape (d0, d1, ..., dn)

Examples

Create 1D Array

import numpy as np

arr1D = np.random.rand(5)

print(arr1D)

I saw this

>>> %Run numprandomrand.py
[0.43668982 0.26615951 0.47310883 0.13066627 0.97557206]

Create 2D Array

import numpy as np

arr2D = np.random.rand(3, 2)

print(arr2D)

I saw this

>>> %Run numprandomrand.py
[[0.54167831 0.52385086]
 [0.35677069 0.85545945]
 [0.83590527 0.73906704]]

Create 3D Array

import numpy as np

arr3D = np.random.rand(3, 2, 4)

print(arr3D)

I saw this

>>> %Run numprandomrand.py
[[[0.13450054 0.62685301 0.09636076 0.25121155]
  [0.58905256 0.60778877 0.86005363 0.32883141]]

 [[0.32508184 0.18744661 0.26799856 0.38133114]
  [0.12255183 0.92855853 0.13053893 0.72069251]]

 [[0.37820463 0.57092734 0.04135081 0.47663122]
  [0.4330011  0.11432421 0.7676993  0.9569132 ]]]