How to make quiver plots using plotly?

This recipe helps you make quiver plots using plotly

Recipe Objective

How to make quiver plots using plotly? Quiver plots which display the velocity vectors as arrows at point "x" and "y" with the components "u" and "v". These plots vectors as arrows which are specified in each corresponding pair of elements in x and y at the coordinates. Without having the arrows shrink or overlap one another these plots can represent wide range of magnitudes.

Step 1 - Import libraries

import plotly.figure_factory as pf import numpy as np

Step 2 - Take Sample data

x_axis = np.linspace(-3, 3, 70) y_axis = np.linspace(-2, 2, 70) Y_cord, X_cord = np.meshgrid(x_axis, y_axis) u = 1 - X_cord**2 + Y_cord v = -1 + X_cord - Y_cord**2

Step 3 - Plot the graph

fig = pf.create_quiver(x_axis, y_axis, u, v, arrow_scale=.2) fig.show()

Here in the above Figure: x_axis - x coordinates of the arrow location y_axis - y coordinates of the arrow location u - x components of the arrow vectors v - y components of the arrow vectors arrow_scale - value multiplied to length of the barb for getting the length of arrow head.

What Users are saying..

profile image

Savvy Sahai

Data Science Intern, Capgemini
linkedin profile url

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

Image Segmentation using Mask R-CNN with Tensorflow
In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.

Build a Music Recommendation Algorithm using KKBox's Dataset
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.

Build Portfolio Optimization Machine Learning Models in R
Machine Learning Project for Financial Risk Modelling and Portfolio Optimization with R- Build a machine learning model in R to develop a strategy for building a portfolio for maximized returns.

OpenCV Project to Master Advanced Computer Vision Concepts
In this OpenCV project, you will learn to implement advanced computer vision concepts and algorithms in OpenCV library using Python.

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.

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

Build a Multi ClassText Classification Model using Naive Bayes
Implement the Naive Bayes Algorithm to build a multi class text classification model in Python.

Deploy Transformer BART Model for Text summarization on GCP
Learn to Deploy a Machine Learning Model for the Abstractive Text Summarization on Google Cloud Platform (GCP)

Learn to Build a Polynomial Regression Model from Scratch
In this Machine Learning Regression project, you will learn to build a polynomial regression model to predict points scored by the sports team.

Build a Text Generator Model using Amazon SageMaker
In this Deep Learning Project, you will train a Text Generator Model on Amazon Reviews Dataset using LSTM Algorithm in PyTorch and deploy it on Amazon SageMaker.