Explain how to Plot Multinomial distribution with the help of seaborn?
This recipe explains how to Plot Multinomial distribution with the help of seaborn
Recipe Objective
Plot Multinomial distribution with the help of seaborn.
Multinomial distribution these are the generation of binomial distribution which describes outcomes of multi-nomial scenarios unlike binomial where scenarios must be only one of two. for e.g. human body blood group of a sample or population and outcome of dice roll.
Table of Contents
Step 1 - Import the necessary libraries
from numpy import random import seaborn as sns import matplotlib.pyplot as plt
Step 2 - Take random samples
sample = random.multinomial(n=6, pvals=[1/6, 1/6, 1/6, 1/6, 1/6, 1/6]) sample
array([1, 1, 0, 4, 0, 0])
Step 3 - Plot the graph
sns.distplot(sample, hist= True) plt.show()
What Users are saying..
Abhinav Agarwal
I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More