Explain how to Plot Binomial distribution with the help of seaborn?

This recipe explains how to Plot Binomial distribution with the help of seaborn

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Recipe Objective

Plot Binomial distribution with the help of seaborn.

Binomial distribution these is nothing but a discrete distribution which describes the outcome of binary scenarios, For e.g tossing a coin in which the outcome can be either head or tails.

Table of Contents

Step 1 - Import the necessary libraries

from numpy import random import matplotlib.pyplot as plt import seaborn as sns

Step 2 - Take random samples

sample = random.binomial(n = 15, p = 0.5, size = 1000)

Here,

n = number of trials

p - probability of occurence of each trial.

size = shape of the array

Step 3 - Plot the graph

sns.distplot(sample, hist=True, kde = False) plt.show()

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