numpy.random.rand() in Python

Last Updated : 08 Mar, 2024

This article provides an in-depth exploration of the `numpy.random.rand()` function in Python. It covers the function’s syntax, and definition, and includes illustrative examples with detailed explanations for better understanding.

numpy.random.rand() Function Syntax

The numpy.random.rand() function creates an array of specified shapes fills it with random values and generates random numbers with Numpy.

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.

What is numpy.random.rand() in Python ?

`numpy.random.rand()` in Python is a function from the NumPy library that generates an array of specified shapes and fills it with random values uniformly distributed between 0 and 1. It is commonly used for creating random arrays in various applications such as simulations and machine learning. The function’s output is determined by the shape parameters provided.

Python numpy.random.rand() Examples

There are where use cases of numpy.random.rand() for Generating random numbers with NumPy. here we are explaining some advantages of numpy.random.rand() for Generating random numbers with Numpy those are following.

• Randomly Constructing 1D Array
• Randomly Constructing 2D Array
• Randomly Constructing 3D Array

Randomly Constructing 1D Array

In this example The code uses NumPy to generate a 1D array with 5 random values between 0 and 1 using the `numpy.random.rand()` method. The resulting array is printed to the console.

Python

 `# Python Program illustrating ` `# numpy.random.rand() method ` `  `  `import` `numpy as geek ` `  `  `# 1D Array ` `array ``=` `geek.random.rand(``5``) ` `print``(``"1D Array filled with random values :"``, array);`

Output :

`1D Array filled with random values :  [ 0.84503968  0.61570994  0.7619945   0.34994803  0.40113761]`

Randomly Constructing 2D Array

In this example This Python code uses the NumPy library to create a 3×4 2D array filled with random values between 0 and 1 using the `numpy.random.rand()` method. The resulting array is then printed to the console.

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 : "``, 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]]`

Randomly Constructing 3D Array

In this example The code uses the NumPy library to generate a 3D array of shape (2, 2, 2) filled with random values between 0 and 1 using the `numpy.random.rand()` method. The resulting array is then printed.

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]]]`

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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