Explain what is Facetgrid in seaborn with example?
This recipe explains what is Facetgrid in seaborn with example
Recipe Objective
What is Facetgrid in seaborn ? Explain with example.
Facetgrid maps the dataset onto multiple axes arrayed in a grid of rows and columns which will corresspons to levels of variables in the dataset. "lattice", "trellis", or "small-multiple" graphics are the plots produced by Facetgrid.
Step 1 - Import the necessary library
import seaborn as sns
Step 2 - load the Dataset
tips_data = sns.load_dataset('tips')
tips_data.head()
Step 3 - Plot the graph
plot = sns.FacetGrid(tips_data, col='time', row='sex')
plot.map(sns.scatterplot, 'total_bill', 'tip')
What Users are saying..
Gautam Vermani
Data Consultant at Confidential
Having worked in the field of Data Science, I wanted to explore how I can implement projects in other domains, So I thought of connecting with ProjectPro. A project that helped me absorb this topic... Read More
Relevant Projects
Machine Learning Projects
Data Science Projects
Python Projects for Data Science
Data Science Projects in R
Machine Learning Projects for Beginners
Deep Learning Projects
Neural Network Projects
Tensorflow Projects
NLP Projects
Kaggle Projects
IoT Projects
Big Data Projects
Hadoop Real-Time Projects Examples
Spark Projects
Data Analytics Projects for Students
You might also like
Data Science Tutorial
Data Scientist Salary
How to Become a Data Scientist
Data Analyst vs Data Scientist
Data Scientist Resume
Data Science Projects for Beginners
Machine Learning Engineer
Machine Learning Projects for Beginners
Datasets
Pandas Dataframe
Machine Learning Algorithms
Regression Analysis
MNIST Dataset
Data Science Interview Questions
Python Data Science Interview Questions
Spark Interview Questions
Hadoop Interview Questions
Data Analyst Interview Questions
Machine Learning Interview Questions
AWS vs Azure
Hadoop Architecture
Spark Architecture
Relevant Projects
Build a Similar Images Finder with Python, Keras, and Tensorflow
Build your own image similarity application using Python to search and find images of products that are similar to any given product. You will implement the K-Nearest Neighbor algorithm to find products with maximum similarity.
Deploy Transformer-BART Model on Paperspace Cloud
In this MLOps Project you will learn how to deploy a Tranaformer BART Model for Abstractive Text Summarization on Paperspace Private Cloud
Azure Text Analytics for Medical Search Engine Deployment
Microsoft Azure Project - Use Azure text analytics cognitive service to deploy a machine learning model into Azure Databricks
Census Income Data Set Project-Predict Adult Census Income
Use the Adult Income dataset to predict whether income exceeds 50K yr based oncensus data.
Tensorflow Transfer Learning Model for Image Classification
Image Classification Project - Build an Image Classification Model on a Dataset of T-Shirt Images for Binary Classification
MLOps AWS Project on Topic Modeling using Gunicorn Flask
In this project we will see the end-to-end machine learning development process to design, build and manage reproducible, testable, and evolvable machine learning models by using AWS
Time Series Classification Project for Elevator Failure Prediction
In this Time Series Project, you will predict the failure of elevators using IoT sensor data as a time series classification machine learning problem.
Linear Regression Model Project in Python for Beginners Part 2
Machine Learning Linear Regression Project for Beginners in Python to Build a Multiple Linear Regression Model on Soccer Player Dataset.
Avocado Machine Learning Project Python for Price Prediction
In this ML Project, you will use the Avocado dataset to build a machine learning model to predict the average price of avocado which is continuous in nature based on region and varieties of avocado.
Time Series Forecasting Project-Building ARIMA Model in Python
Build a time series ARIMA model in Python to forecast the use of arrival rate density to support staffing decisions at call centres.