numpy.random.rand() is a NumPy function used to generate random numbers between 0 and 1 and store them in an array of a specified shape. This basic example shows how to generate a single random value between 0 and 1 using numpy.random.rand().
import numpy as np
x = np.random.rand()
print(x)
Output
0.2972517962001888
Explanation: np.random.rand() returns one random floating-point number between 0 and 1 when no arguments are passed.
Syntax
numpy.random.rand(d0, d1, ..., dn)
Parameters: d0, d1, ..., dn - Integers specifying the dimensions of the output array. If no arguments are given, a single float value is returned
Examples
Example 1: This example generates a one-dimensional array containing 5 random values between 0 and 1.
import numpy as np
arr = np.random.rand(5)
print(arr)
Output
[0.17862818 0.70291472 0.78424777 0.15267243 0.69117054]
Explanation: np.random.rand(5) creates a 1D array of length 5 filled with random values between 0 and 1.
Example 2: This example creates a 2D array with 3 rows and 4 columns filled with random values.
import numpy as np
arr = np.random.rand(3, 4)
print(arr)
Output
[[0.85658609 0.5904273 0.42261486 0.87244229] [0.47780515 0.82188824 0.8182546 0.01274018] [0.23222563 0.86268323 0.39799433 0.33220185]]
Explanation: np.random.rand(3, 4) generates a 3×4 matrix, where each element is a random value between 0 and 1.
Example 3: This example demonstrates how to generate a 3D array of shape (2, 2, 2) using random values.
import numpy as np
arr = np.random.rand(2, 2, 2)
print(arr)
Output
[[[0.24843976 0.4158671 ] [0.73343447 0.05072488]] [[0.39851802 0.74778753] [0.43248647 0.89850875]]]
Explanation: np.random.rand(2, 2, 2) creates a three-dimensional array, where all values are randomly generated between 0 and 1.
