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Learning Jupyter 5

You're reading from   Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter Java Coding 6. Jupyter JavaScript Coding 7. Jupyter Scala 8. Jupyter and Big Data 9. Interactive Widgets 10. Sharing and Converting Jupyter Notebooks 11. Multiuser Jupyter Notebooks 12. What's Next? 13. Other Books You May Enjoy

Node.js plotly package


plotly is a package that works differently to most. To use this software, you must register with a username so that you are provided with an api_key (at https://plot.ly/). You then place the username and api_key in your script. At that point, you can use all of the plotly package features.

First, like all of the other packages, we need to install it:

npm install plotly

Once installed, we can reference the plotly package as needed. Using a simple script, we can generate a histogram with plotly:

//set random seed 
var seedrandom = require('seedrandom'); 
var rng = seedrandom('Jupyter'); 
//setup plotly 
var plotly = require('plotly')(username="<username>", api_key="<key>") 
var x = []; 
for (var i = 0; i < 500; i ++) { 
    x[i] = Math.random(); 
} 
require('plotly')(username, api_key); 
var data = [ 
  { 
    x: x, 
    type: "histogram" 
  } 
]; 
var graphOptions = {filename: "basic-histogram", fileopt: "overwrite"}; 
plotly.plot(data, graphOptions, function...
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