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Seed Function In Numpy

In this article, we will discuss the seed function in NumPy.

Purpose

Consider the following code: -

import numpy as np

print(np.random.rand(4))

The above code returns a set of random numbers.

Picture showing the random number generated using the random function in numpy

Click to Enlarge

As you can see in the image above, every time the rand() function returns a different result i.e. result is not predictable. To make the result predictable, we use the seed() function.

import numpy as np


np.random.seed(0) 
print(np.random.rand(4))

Here is the result of the above code. Even after multiple executions, the same set of results will be returned.

Picture showing the output of seed function in numpy

Click to Enlarge

Posted By -	Karan Gupta

Posted On -	Wednesday, April 10, 2019

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