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

d3-snippets

v2.0.0

Published

A collection of D3.v4 snippets. Accelerate your graphics!

Downloads

2

Readme

d3-snippets

An Atom package with D3v5 snippets. Accelerate your graphics!

Contributions are appreciated, if you miss a snippet feel free to create an issue or open a pull request.

d3-snippets in action

Install

You can install it inside Atom (just search for d3-snippets) or via command line:

$ apm install d3-snippets

Reference

# app <>

Append something.

.append('${1:}')

# area <>

Area generator.

const area = d3.area()
    .x(d => x(d.${1:}))
    .y1(d => y(d.${2:}))
    .y0(y(0));

# attr <>

Set attributes.

.attr('${1:}', '${2:}')

# axisb <>

Bottom-oriented axis.

d3.axisBottom(${1:x});

# axisl <>

Left-oriented axis.

d3.axisLeft(${1:y});

# axisr <>

Right-oriented axis.

d3.axisRight(${1:y});

# axist <>

Top-oriented axis.

d3.axisTop(${1:x});

# axis <>

Create a SVG axis.

d3.axis()
    .scale(${1:})
    .ticks(${2:})
    .orient('${3:}')

# createblock <>

Scaffold a block.

<!DOCTYPE html>
<style>
</style>
<body>
<script src="https://d3js.org/d3.v5.min.js"></script>
<script>
${1:}
</script>

# circle <>

Create a SVG circle.

.enter()
    .append('circle')
    .attr('cx', ${1:})
    .attr('cy', ${2:})
    .attr('r', ${3:})
    .style('fill', '${4:#111}');

# class <>

Set the element class.

.attr('class', '${1:}')

# csv <>

Load a CSV file.

d3.csv('${1:}').then(data => {
  ${2:console.log(data);}
});

# curve <>

Curve shorthand.

.curve(d3.${1:curveCatmullRom}.alpha(0.5));

# fdi <>

Return the data and the index.

(d, i) => ${1:}

# fd <>

Return the data.

d => ${1:}

# dom <>

Set the scale domain.

.domain([${1:}, ${2:}])

# dur <>

Set the transition duration.

.duration(${1:})

# ellipse <>

Create a SVG ellipse.

.enter().append('ellipse')
    .attr('cx', ${1:})
    .attr('cy', ${2:})
    .attr('rx', ${3:})
    .attr('ry', ${4:})
    .style('fill', '${5:#111}');

# ent <>

Enter the data.

.enter()

# extent <>

Set the dataset extent.

d3.extent(${1:data}, d => d.${2:value});

# fill-opacity <>

Set the element fill opacity.

.attr('fill-opacity', ${1:0.5})

# fill <>

Set the element fill.

.attr('fill', '${1:none}')

# fn <>

Blank anonymous function.

() => ${1:}

# geomap <>

Create the projection and path for a map.

const projection = d3.${1:geoMercator}()
    .fitSize([${2:width}, ${3:height}], ${4:land});

const path = d3.geoPath()
    .projection(projection);
${7:}

# g <>

Create a SVG group.

svg
    .append('g')
    .attr('class', '${1:}')

# join <>

Start with a data join.

d3.selectAll('${1:}')
    .data(${2:})

# json <>

Load a JSON file.

d3.json('${1:}').then(data => {
  ${2:console.log(data);}
});

# lineg <>

Line generator.

const line = d3.line()
  .x(d => x(d.${1:}))
  .y(d => y(d.${2:}));

# line <>

Create a SVG Line.

.enter().append('line')
    .attr('x1', ${1:})
    .attr('y1', ${2:})
    .attr('x2', ${3:})
    .attr('y2', ${4:})
    .style('stroke', '${5:#111}');

# locale <>

Set a default locale.

const ${1:en_US} = {
    'decimal': '.',
    'thousands': ',',
    'grouping': [3],
    'currency': ['$', ''],
    'dateTime': '%a %b %e %X %Y',
    'date': '%m/%d/%Y',
    'time': '%H:%M:%S',
    'periods': ['AM', 'PM'],
    'days': ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'],
    'shortDays': ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],
    'months': ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'],
    'shortMonths': ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
}

formatDefaultLocale(${2:en_US});
timeFormatDefaultLocale(${3:en_US});

# margin <>

Append a SVG with the margin convention.

const margin = {top: ${1:20}, right: ${2:10}, bottom: ${3:20}, left: ${4:10}},
    width = ${5:960} - margin.left - margin.right,
    height = ${6:500} - margin.top - margin.bottom;

const svg = d3.select('${7:body}').append('svg')
    .attr('width', width + margin.left + margin.right)
    .attr('height', height + margin.top + margin.bottom)
  .append('g')
    .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');

${8:}

# max <>

Get the maximum value.

d3.max(${1:data}, d => d.${2:value});

# min <>

Get the minimum value.

d3.min(${1:data}, d => d.${2:value});

# nest <>

Nest a dataset.

const nest = d3.nest()
    .key(d => d.${1:})
    .entries(${2:});

# on <>

Listen for events on the selection.

.on('${1:}', ${2:})

# queue-promise <>

Load multiple files using a Promise.

Promise.all([
    d3.${1:json}('${2:}'),
    d3.${3:json}('${4:}')
  ]).then([${5:file1}, ${6:file2}] => {
    console.log(${7:file1}, ${8:file1});
  })

# queue <>

Create a queue to load multiple files.

d3.queue()
    .defer(${1:d3.json}, '${2:}')
    .defer(${3:d3.json}, '${4:}')
    .await(function(error, ${5:file1}, ${6:file2}) {
        console.log(${7:file1}, ${8:file1});
    });

# r <>

Set the element radius.

.attr('r', ${1:5})

# ran <>

Set the scale range.

.range([${1:}, ${2:}])

# rect <>

Create a SVG rect.

.enter().append('rect')
    .attr('x', ${1:})
    .attr('y', ${2:})
    .attr('width', ${3:width})
    .attr('height', ${4:height})
    .attr('rx', ${5:0})
    .attr('ry', ${6:0})
    .style('fill', '${7:#111}');

# seq <>

Create a sequential scale.

d3.scaleSequential(d3.${1:interpolateViridis})
    .domain([${2:}])

# scale <>

Create a sample scale.

d3.${1:scaleLinear}()
    .domain([${2:}, ${3:}])
    .range([${4:}, ${5:}]);

# sel <>

Select an element.

d3.select('${1:}')

# sela <>

Select all the elements.

d3.selectAll('${1:}')

# sort <>

Sort a dataset.

${1:data}.sort((a, b) => ${2:a}.${3:value} - ${4:b}.${5:value});

# stroke-opacity <>

Set the element stroke opacity.

.attr('stroke-opacity', ${1:0.5})

# stroke-width <>

Set the element stroke width.

.attr('stroke-width', ${1:1})

# stroke <>

Set the element stroke.

.attr('stroke', '${1:black}')

# style <>

Set the element style.

.style('${1:}', '${2:}')

# anchor <>

Set the text anchor.

.attr('text-anchor', '${1:middle}')

# text <>

Set the element text.

.text('${1:}')

# tickSize <>

Set the tick size.

.tickSize(${1:})

# tickValues <>

Set the tick values.

.tickValues(['${1:}'])

# translate <>

Translate the element.

.attr('transform', `translate(${${1:0}},${${2:0}})`)

# voronoi <>

Create a Voronoi diagram.

const voronoi = d3.voronoi()
    .x(d => x(d.${1:}))
    .y(d => y(d.${2:}))
    .extent([[0, 0], [${3:width}, ${4:height}]]);

const voronoiGroup = svg.append('g')
    .attr('class', 'voronoi');

voronoiGroup.selectAll('path')
    .data(voronoi.polygons(${5:data}))
    .enter().append('path')
    .attr('d', d => d ? 'M' + d.join('L') + 'Z' : null)

# x <>

Set the x position.

.attr('x', ${1:})

# y <>

Set the y position.

.attr('y', ${1:})

Hacking

$ cd ~/.atom/packages
$ git clone [email protected]:martgnz/d3-snippets.git
$ cd d3-snippets
$ apm install
$ apm link

Credit

Most of the inspiration comes from fabriotav's and shancarter's Sublime Text packages.