How to Box plot visualization with Pandas and Seaborn

In this tutorial, we will learn How To Box plot visualization with Pandas and Seaborn.

How to make Box Plot in pandas

For this, there has one way to plot boxplot using the panda’s data frame is to use a boxplot() function that is part of the panda’s library.

Here I give you Datasheet for You can download File and practice by your self using this code.

train dataset.csv

 

# Import the required library
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# load the data sheet
df = pd.read_csv('train.csv')
# display 5 rows of dataset
df.head()
# Box Plot visualization MSSubClass with Pandas 
plt.boxplot(df['MSSubClass'])
plt.show()

 

output:

 

How to make Box Plot with seaborn in Python

# Box Plot visualization MSSubClass with Seaborn 
import seaborn as sns 
sns.set(color_code=True) 
sns.distplot(df['MSSubClass'],bins=10) 
plt.xticks(range(0,200,25)) 
plt.show()

output:

 

Explanation: In the above explanation we first imported module three important modules to plot a graph i.e. numpy, matplotlib.pyplot and seaborn, then taking data from the datasheet and take MSSubClass column for Box Plot Visualization of pandas with boxplot() function and seaborn with distplot() function.  As you can see its results in output there I am giving you the link of output graph.

You may also read:

• Seaborn module of Python