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 point plot and set a cap to the error bars with Seaborn
Point Plot in Seaborn is used to show point estimates and confidence intervals using scatter plot glyphs. The seaborn.pointplot() is used for this. Set caps to the error bars using the capsize parameter.
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")
Setting caps to the error bars using the capsize parameter −
sb.pointplot(dataFrame['Role'],dataFrame['Age'], capsize=.3)
Example
Following is the 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")
sb.set_theme(style="darkgrid")
# point plot
# setting caps to the error bars using the capsize parameter
sb.pointplot(dataFrame['Role'],dataFrame['Age'], capsize=.3)
# display
plt.show()Output
This will produce the following output −
Updated on: 04-Oct-2021
592 Views
Advertisements