- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Python Pandas - Draw a vertical boxplot grouped by a categorical variable with Seaborn
Box Plot in Seaborn is used to draw a box plot to show distributions with respect to categories. To create a vertical Box Plot, use the seaborn.boxplot().
Let’s say the following is our dataset in the form of a CSV file − Cricketers.csv
At first, import the required libraries −
import seaborn as sb import pandas as pd import matplotlib.pyplot as plt
Load data from a CSV file into a Pandas DataFrame −
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\Cricketers.csv")
Plotting a vertical box plot with Academy and Age −
sb.boxplot( x = 'Academy',y = 'Age', data = dataFrame )
Example
Following is the complete code −
import seaborn as sb import pandas as pd import matplotlib.pyplot as plt # Load data from a CSV file into a Pandas DataFrame: dataFrame = pd.read_csv("C:\Users\amit_\Desktop\Cricketers.csv") # plotting a vertical box plot with Academy and Age sb.boxplot( x = 'Academy',y = 'Age', data = dataFrame ) # display plt.show()
Output
This will produce the following output −
Advertisements