numpy.random.rand() function in Python
numpy.random.rand(): This function returns Random values in a given shape. It Create an array of the given shape and populate it with random samples from a uniform distribution over [0, 1).
Syntax: numpy.random.rand(d0, d1, …, dn)
Parameters:
d0, d1, …, dn : int, optional
The dimensions of the returned array, should all be positive. If no argument is given a single Python float is returned.
Returns:
out : ndarray, shape (d0, d1, …, dn)
Random values.
#Example program on numpy.random.rand() function
import numpy as np
# one dimensional array
print(np.random.rand(10))
# two dimensional array
print(np.random.rand(2,5))
# three dimensional array
print(np.random.rand(3,3,3))
Output:
[ 0.27970717 0.74051427 0.06781617 0.06965978 0.01146766 0.13030936 0.25948311 0.76907386 0.72382275 0.29564673] [[ 0.27195449 0.5744164 0.0032461 0.36502227 0.21478035] [ 0.57526485 0.75684874 0.98164689 0.97893362 0.62642495]] [[[ 0.29016941 0.12679977 0.59884554] [ 0.81177943 0.51168175 0.30511396] [ 0.18430922 0.0151866 0.05515292]] [[ 0.53368394 0.90000968 0.8417444 ] [ 0.48896971 0.44978217 0.12383014] [ 0.89102444 0.33451971 0.4701923 ]] [[ 0.6536559 0.65463112 0.12052995] [ 0.73898131 0.57329045 0.81933027] [ 0.76714976 0.23212792 0.18766463]]]
