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

plotter

v0.5.0

Published

Turns an array of data into a graph in a pdf document.

Downloads

266

Readme

nodejs-plotter is a node.js module that turns an array of data into a graph. Uses gnuplot and ps2pdf.

Installation

Prerequisites:

sudo apt-get install gnuplot ghostscript

If you have npm installed, just run:

npm install plotter

Usage

var plot = require('plotter').plot;

plot({
	data:		[ 3, 1, 2, 3, 4 ],
	filename:	'output.png'
});

Plotting is achieved by calling the plot function with an object containing various properties. Both 'data' and 'filename' are essential, all other properties are optional.

Output format

This defaults to .png but specifing format: svg changes the output to .svg and format: pdf changes the output format to .pdf.

var plot = require('plotter').plot;

plot({
	data:		[ 3, 1, 2, 3, 4 ],
	filename:	'output.svg',
	format:		'svg'
});

Formatting

The following properties can be used:

  • title : Sets the title of the graph
  • xlabel : Sets the label on the x axis of the graph
  • ylabel : Sets the label on the y axis of the graph
  • logscale : Makes the y axis of the graph appear in a log scale
  • style : The style of the lines on the graph. Possibilites include lines (default), points and linespoints
  • nokey : Disables the graph key

The following example shows these in use:

plot({
	data:		[ 3, 1, 2, 3, 4 ],
	filename:	'output.pdf',
	style:		'linespoints',
	title:		'Example \'Title\', \\n runs onto multiple lines',
	logscale:	true,
	xlabel:		'time',
	ylabel:		'length of string',
	format:		'pdf'
});

Specifing X and Y values

plot({
	data:		{ 'line' : { 1: 5, 5: 6 } },
	filename:	'output.png'
});

Instead of specifing an array for data, you can specify an object with a named series inside.

Multiple Series

plot({
	data:		{ 'tick' : [ 3, 1, 2, 3, 4 ], 'line' : { 1: 5, 5: 6 } },
	filename:	'output.png'
});

You can specify multiple series inside an object.

Moving Averages and Maximums

plot({
	data:		{ 'tick' : [ 3, 1, 2, 3, 4, 15, 3, 2, 4, 11 ],
		'tick2' : [ 3, 10, 2, 30, 4, 15, 3, 20, 4, 11 ] },
	filename:	'output.png',
	moving_avg:	4
});

This will plot the points with a 4-point moving average. A moving_max can also be specified, which if applied alongside a moving_avg will be calculated after the moving average.

Time Formatting

plot({
	data:		{ 'temperature' :
			{ 1357162672: 22, 1357162782: 23, 1357162892: 24 } },
	time:		'hours',
	filename:	'output.png'
});

The x axis can be formatted as a time series if the x values are given as a unix time. The time property can be specified as either 'hours' (the default), 'days' or with a gnuplot time format like '%H:%M'.

LICENSE

MIT