How to make a density heatmap using plotly?

This recipe helps you make a density heatmap using plotly

Recipe Objective

Make a density heatmap using plotly.

Density heatmap it is computed by grouping a set of points specified by their x and y coordinates into bins, and applying an aggregation function such as count or sum if z is provided to compute the color of the tile representing the bin. This kind of visualization is often used to manage over-plotting, or situations where showing large data sets as scatter plots would result in points overlapping each other and hiding patterns.

Step 1 - Import libraries

import plotly.express as px import seaborn as sns

Step 2 - load dataset

Sample_data = sns.load_dataset("tips") Sample_data.head()

Step 3 - Plot graph

fig = px.density_heatmap(Sample_data, x="total_bill", y="tip", nbinsx=30, nbinsy=30, color_continuous_scale="Viridis") fig.show()

What Users are saying..

profile image

Abhinav Agarwal

Graduate Student at Northwestern University
linkedin profile url

I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More

Relevant Projects

Personalized Medicine: Redefining Cancer Treatment
In this Personalized Medicine Machine Learning Project you will learn to classify genetic mutations on the basis of medical literature into 9 classes.

AWS MLOps Project to Deploy a Classification Model [Banking]
In this AWS MLOps project, you will learn how to deploy a classification model using Flask on AWS.

Model Deployment on GCP using Streamlit for Resume Parsing
Perform model deployment on GCP for resume parsing model using Streamlit App.

Classification Projects on Machine Learning for Beginners - 1
Classification ML Project for Beginners - A Hands-On Approach to Implementing Different Types of Classification Algorithms in Machine Learning for Predictive Modelling

Recommender System Machine Learning Project for Beginners-1
Recommender System Machine Learning Project for Beginners - Learn how to design, implement and train a rule-based recommender system in Python

Build Regression Models in Python for House Price Prediction
In this Machine Learning Regression project, you will build and evaluate various regression models in Python for house price prediction.

Build CI/CD Pipeline for Machine Learning Projects using Jenkins
In this project, you will learn how to create a CI/CD pipeline for a search engine application using Jenkins.

Build an Image Segmentation Model using Amazon SageMaker
In this Machine Learning Project, you will learn to implement the UNet Architecture and build an Image Segmentation Model using Amazon SageMaker

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.

Expedia Hotel Recommendations Data Science Project
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.