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numpy.random.binomial() Method with Example

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Submitted by Pranit Sharma, on February 27, 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.random.binomial() Method

This function is used to draw samples from a binomial distribution. In mathematics, the binomial distribution with parameters n and p is the discrete probability distribution in a sequence of n independent experiments which gives only two possible results either success or failure.

Samples are drawn from a binomial distribution with specified parameters, n trials, and p probability of success where n is an integer >= 0 and p is in the interval [0,1].

Syntax:

random.binomial(n, p, size=None)

Parameter(s):

• n: parameters of the distribution which are greater than or equal to 0.
• p: parameters of the distribution which are greater than or equal to 0 and less than or equal to 1.
• size: shape of the output.

Let us understand with the help of an example,

Python code to demonstrate the example of numpy.random.binomial() method

# Import numpy
import numpy as np

# Defining number of trial
n = 10

# Define possibility
p = 0.5

# Draw binomial distribution
res = np.random.binomial(n,p,100)

# Display result
print("Result:\n",res,"\n")

Output:

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