Numpy random.rand() Function

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The Numpy random.rand() function is used to generate a numpy array of specified shapes and fills with random values uniformly distributed between 0 and 1. This function is particularly used to generate random samples for simulations, testing, or initializing data.

Using numpy.random.rand() function, the generated random numbers will be in a range greater than or equal to 0 (>=0) and less than 1 (<1). When representing intervals - [0,1), square bracket [ means that the number is included in the interval, and round bracket ) means that the number is not included in the interval.

Syntax

Following is the syntax of the Numpy random.rand() function −

numpy.random.rand(d0, d1, ..., dn)

Parameters

Following are the parameters of the Numpy random.rand() function −

• d0, d1, ..., dn - These are the dimensions of the output array.

Return Values

This function returns a NumPy array filled with random float values between 0 and 1.

Example

Following is a basic example to generate a evenly spaced numpy array using Numpy random.rand() function −

import numpy as np
random_value = np.random.rand()
print("Random Value -", random_value)
print(type(random_value))

Output

Following is the output of the above code −

Random Value - 0.5957341075780259
<class 'float'>

Example : Numpy Array using 'random.rand()'

The numpy.random.rand() function is used to generate a NumPy array of random float values between 0 and 1.

In the following example, we have generated a NumPy array using the numpy.random.rand() function −

import numpy as np
numpy_Array = np.random.rand(4)
print("Numpy 1D Array - \n", numpy_Array)
print(type(numpy_Array))

Output

Following is the output of the above code −

Numpy 1D Array - 
 [0.43857993 0.75618948 0.72346477 0.74740608]
<class 'numpy.ndarray'>

Example : Multi-dimensional Numpy Array

Using the numpy.random.rand() function, we can generate a n-dimensional array of random values by specifying the dimensions as parameters.

In the following example, we have created a 3D array with dimensions 3x4x3, filled with random values between 0 and 1 −

import numpy as np
numpy_3d_array = np.random.rand(3, 4,3)
print("Numpy 3D Array of Random Values -\n", numpy_3d_array)

Output

Following is the output of the above code −

Numpy 3D Array of Random Values -
 [[[0.04370878 0.40101641 0.87128492]
  [0.03316436 0.65729078 0.83986302]
  [0.74107696 0.56756153 0.02978992]
  [0.76785574 0.25137198 0.67751803]]

 [[0.63411997 0.20633224 0.27037647]
  [0.87758893 0.05098912 0.46860395]
  [0.20551389 0.18509449 0.65965151]
  [0.94767091 0.6158867  0.7130623 ]]

 [[0.32199802 0.75195402 0.72011531]
  [0.78364401 0.26592789 0.51386832]
  [0.950848   0.71341246 0.73289238]
  [0.71042609 0.05504133 0.00693914]]]