Explain how to Make a pair grid plot using seaborn?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

Explain how to Make a pair grid plot using seaborn?

Explain how to Make a pair grid plot using seaborn?

This recipe explains how to Make a pair grid plot using seaborn

0

Recipe Objective

Make a pair grid plot using seaborn.

Pairgrid plot as we have discussed earlier the pair plot which is pairwise relationships in a dataset. Pairgrid plotting is about a Subplot grid for plotting pairwise relationships in a dataset. In this, the class maps each variable in the dataset onto a column and row in a grid of multiple axes. To draw bivariate plots in the upper and lower triangles different axes-level plotting functions can be used and the marginal distribution of each variable can be shown on the diagonal.

Step 1 - Import the necessary libraries

import seaborn as sns import matplotlib.pyplot as plt

Step 2 - load the Dataset

tips_data = sns.load_dataset('tips') tips_data.head()

Step 3 - Plot the graph

My_plot = sns.PairGrid(tips_data, hue='sex') ## Pairgrid with hue My_plot = My_plot.map_diag(plt.hist) ## Type of graph for diagonal My_plot = My_plot.map_offdiag(plt.scatter) ##Type of graph for non-diagonal My_plot = My_plot.add_legend() ##Add the legend plt.show() ##plot the graph

Relevant Projects

PySpark Tutorial - Learn to use Apache Spark with Python
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.

Sequence Classification with LSTM RNN in Python with Keras
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Identifying Product Bundles from Sales Data Using R Language
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.

Human Activity Recognition Using Smartphones Data Set
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Data Science Project-TalkingData AdTracking Fraud Detection
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.