How to make 3D Streamtube plots using plotly?
This recipe helps you make 3D Streamtube plots using plotly
Recipe Objective
Make 3D Streamtube plots using plotly.
Streamtube plot this are tabular region surrounded by streamlines which form a closed loop. In this the parameters X,Y and Z sets the coordinates with vector field whereas U,V and W set the X,Y and Z component of vector field.
Step 1 - Import library
import plotly.graph_objects as go
Step 2 - Take Sample Data
x = [2,2,2]
y = [1,1,1]
z = [0,0,0]
u = [1,1,2]
v = [0,0,0]
w = [1,2,3]
Step 3 - Plot graph
fig = go.Figure(data=go.Streamtube(x=x,
y=y,
z=z,
u=u,
v=v,
w=w))
fig.show()
What Users are saying..
Jingwei Li
Graduate Research assistance at Stony Brook University
ProjectPro is an awesome platform that helps me learn much hands-on industrial experience with a step-by-step walkthrough of projects. There are two primary paths to learn: Data Science and Big Data.... 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
BigMart Sales Prediction ML Project in Python
The goal of the BigMart Sales Prediction ML project is to build and evaluate different predictive models and determine the sales of each product at a store.
Learn to Build a Siamese Neural Network for Image Similarity
In this Deep Learning Project, you will learn how to build a siamese neural network with Keras and Tensorflow for Image Similarity.
MLOps Project to Deploy Resume Parser Model on Paperspace
In this MLOps project, you will learn how to deploy a Resume Parser Streamlit Application on Paperspace Private Cloud.
Learn Object Tracking (SOT, MOT) using OpenCV and Python
Get Started with Object Tracking using OpenCV and Python - Learn to implement Multiple Instance Learning Tracker (MIL) algorithm, Generic Object Tracking Using Regression Networks Tracker (GOTURN) algorithm, Kernelized Correlation Filters Tracker (KCF) algorithm, Tracking, Learning, Detection Tracker (TLD) algorithm for single and multiple object tracking from various video clips.
Deep Learning Project for Beginners with Source Code Part 1
Learn to implement deep neural networks in Python .
End-to-End ML Model Monitoring using Airflow and Docker
In this MLOps Project, you will learn to build an end to end pipeline to monitor any changes in the predictive power of model or degradation of data.
Skip Gram Model Python Implementation for Word Embeddings
Skip-Gram Model word2vec Example -Learn how to implement the skip gram algorithm in NLP for word embeddings on a set of documents.
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.
Build a Churn Prediction Model using Ensemble Learning
Learn how to build ensemble machine learning models like Random Forest, Adaboost, and Gradient Boosting for Customer Churn Prediction using Python
Linear Regression Model Project in Python for Beginners Part 1
Machine Learning Linear Regression Project in Python to build a simple linear regression model and master the fundamentals of regression for beginners.