How to make a 3D graph using plotly?
This recipe helps you make a 3D graph using plotly
Recipe Objective
How to make a 3D graph using plotly.
Just like 2D graph plotly gives us a variety of visualizing graphs in 3D as well, lets understand more by practical implementation.
Step 1 - Import library
import plotly.express as px
import seaborn as sns
Step 2 - load dataset
Sample_data = sns.load_dataset("penguins")
Sample_data.head()
Step 3 - Plot graph
fig = px.scatter_3d(Sample_data, x="bill_length_mm", y="bill_depth_mm", z="body_mass_g", color="species", symbol="island")
fig.show()
fig_line = px.line_3d(Sample_data, x="bill_length_mm", y="bill_depth_mm", z="body_mass_g", color="species")
fig_line.show()
What Users are saying..
Savvy Sahai
Data Science Intern, Capgemini
As a student looking to break into the field of data engineering and data science, one can get really confused as to which path to take. Very few ways to do it are Google, YouTube, etc. I was one of... 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
Hands-On Approach to Regression Discontinuity Design Python
In this machine learning project, you will learn to implement Regression Discontinuity Design Example in Python to determine the effect of age on Mortality Rate in Python.
Build a Credit Default Risk Prediction Model with LightGBM
In this Machine Learning Project, you will build a classification model for default prediction with LightGBM.
Build Time Series Models for Gaussian Processes in Python
Time Series Project - A hands-on approach to Gaussian Processes for Time Series Modelling in Python
NLP Project for Multi Class Text Classification using BERT Model
In this NLP Project, you will learn how to build a multi-class text classification model using using the pre-trained BERT model.
MLOps using Azure Devops to Deploy a Classification Model
In this MLOps Azure project, you will learn how to deploy a classification machine learning model to predict the customer's license status on Azure through scalable CI/CD ML pipelines.
Build a Speech-Text Transcriptor with Nvidia Quartznet Model
In this Deep Learning Project, you will leverage transfer learning from Nvidia QuartzNet pre-trained models to develop a speech-to-text transcriptor.
Learn How to Build a Logistic Regression Model in PyTorch
In this Machine Learning Project, you will learn how to build a simple logistic regression model in PyTorch for customer churn prediction.
Build a Customer Churn Prediction Model using Decision Trees
Develop a customer churn prediction model using decision tree machine learning algorithms and data science on streaming service data.
Abstractive Text Summarization using Transformers-BART Model
Deep Learning Project to implement an Abstractive Text Summarizer using Google's Transformers-BART Model to generate news article headlines.
GCP MLOps Project to Deploy ARIMA Model using uWSGI Flask
Build an end-to-end MLOps Pipeline to deploy a Time Series ARIMA Model on GCP using uWSGI and Flask