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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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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 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 d3 package


The d3 package has data access functionality. In this case, we will read from a tab-separated file and compute an average. Note the use of the underscore variable name for lodash. Variable names starting with an underscore are assumed to be private, although, in this case, it is just a play on the name of the package we are using, lodash, or underscore. Also, lodash is a widely used utility package.

The script we use is as follows:

var fs = require("fs");
var d3 = require("d3");
var _ = require("lodash");
//read in the animals file
fs.readFile("data/animals.tsv", "utf8", function(error, data) {
    data = d3.tsv.parse(data);
//display on screen
    console.log(JSON.stringify(data));
//compute the maximum weight
    var maxWeight = d3.max(data, function(d) { return d.avg_weight; });
//display the max on screen
    console.log(maxWeight);
});

This assumes we have previously loaded the fs and d3 packages using npm, as described in the previous script.

For this example, I created...

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