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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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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 (11) Chapters Close

Preface 1. Introduction to Jupyter 2. Jupyter Python Scripting FREE CHAPTER 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

Node.js plotly package


plotly is a package that works differently to most. To use their software, you must register with a username and be provided 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 features.

Firstly, like 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 (err, msg) {
    console.log(msg);
})...
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