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

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

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.

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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