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Non-repetitive random number in NumPy

Learn, how to generate a non-repetitive random series in numpy? By Pranit Sharma Last updated : October 09, 2023

NumPy is an abbreviated form of Numerical Python. It is used for different types of scientific operations in python. Numpy is a vast library in python which is used for almost every kind of scientific or mathematical operation. It is itself an array which is a collection of various methods and functions for processing the arrays.

NumPy - Generating a non-repetitive random series

The numpy.random() method is used to generate some random numbers which may get repeated but here, we need to generate a non-repetitive random number series.

In numpy random module, we have a method default_rng() which will return an object, this object contains a method called choice() with the help of which we can create a random number series and if we pass an argument called replace=False, it will create a non repetitive random number series.

Let us understand with the help of an example,

Python program to generate a non-repetitive random series in numpy

# Import numpy
import numpy as np

# Import default_rng
from numpy.random import default_rng

# Creating an object of default_rng
obj = default_rng()

# Creating non repetitive random series
res = obj.choice(20, size=10, replace=False)

# Display result
print("Non Repetitive random series:\n",res)

Output

The output of the above program is:

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