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
How to add a legend on Seaborn facetgrid bar plot using Matplotlib?
Steps
- Set the figure size and adjust the padding between and around the subplots.
- Create a dataframe with col1 columns.
- Multi-plot grid for plotting conditional relationships.
- Use map_dataframe(). This method is suitable for plotting with functions that accept a long-form DataFrame as a 'data' keyword argument and access the data in that DataFrame using string variable names.
- Add a legend to the plot().
- To display the figure, use show() method.
Example
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
df = pd.DataFrame({'col1': [3, 7, 8]})
g = sns.FacetGrid(df, col="col1", hue="col1")
g.map_dataframe(sns.scatterplot)
g.set_axis_labels("X", "Y")
g.add_legend()
plt.show()Output
Updated on: 17-Jun-2021
4K+ Views
Advertisements