npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

transpluck

v1.0.4

Published

transpose an array of array into an object of plucked series arrays

Downloads

11

Readme

transpluck

Greenkeeper badge Build Status Coverage Status

Reformats csv-like array-of-array with header row into a dataframe-like object in a transpose/pluck-like operation

Installation

npm i transpluck -S

Dependencies

None. Suitable for usage on nodejs or on the browser, via browserify.

Initialization

const transpluck = require('transpluck');

Usage

transpluck(csvData) uses first row as header row, starts decoding at 2nd row, extracts everything

csvData = [ 
	['a','b','c'],
	[1, 2, 3],
	[2, 7, 1],
	[8, 5, 6]
	];

seriesData = transpluck(csvData);
// {a: [1,2,8], b: [2,7,5], c: [3,1,6] }

transpluck(csvData, {pluck: ['b']}) returns only the plucked columns, using csvData[0] as the header row. The pluck property must be an array, and should consist of a subset of the column names from the 0th row of the data. Missing items will be ignored, and will not appear as keys in the result.

--> {b: [2,7,5]}

transpluck(csvData, ['x','y','z']) uses the explicit header ['x','y','z'], treats all rows of csvData as data

--> {x: ['a',1,2,8], y: ['b',2,7,5], z: ['c',3,1,6]}

If an explicit header is supplied, a starting row index can also be supplied:

transpluck(csvData, ['x','y','z'], 1)

--> {x: [1,2,8], y: [2,7,5], z: [3,1,6] }

Any explicitly undefined header slots are omitted in the returned object:

transpluck(csvData, ['a',,'c'], 1)

--> {a: [1,2,8], c: [3,1,6]}

You may use an object as the second parameter to request a sparse set of columns. The sparse header object format is {colNumber: 'label', colNumber2: 'label2', ...}.

`transpluck(csvData, {1:'bb'}, 1)

--> {bb: [2,7,5]}

Remember that any header row in the csvData array-of-arrays is ignored when an explicit header is used:

transpluck(csvData, ['a','c'], 1)

--> {a: [1,2,8], c: [2,7,5] } not c:[3,1,6] because explicit header ['a','c'] means collect column 0 in property a, and column 1 in property c.

Ill-formed calls return undefined

transpluck() === undefined

transpluck([1,2,3,4,5,6]) === undefined

transpluck({}) === undefined

Tests

Use mocha framework.

Copyright

Copyright 2016 Paul Brewer, Economic and Financial Technology Consulting LLC

License

MIT