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

abstract-chart

v6.0.0

Published

Drawing charts using multiple unit of measure axes as coordinate system

Downloads

583

Readme

abstract-chart

npm version code style: prettier MIT license

Drawing charts using multiple unit of measure axes as coordinate system

Introduction

When drawing complex scientific charts, regular line/bar/pie chart libraries are not very useful. This aim of this library is to enable any chart to be drawn, no matter how complex. This is achieved by treating the chart as a canvas where you can draw anything, but in constract to a regular canvas, the chart has a coordinate system specified by axes that can be of different units of measure. You can have multiple coordinate systems overlayed in the same chart by adding more axes to the chart.

The chart is created as an abstract representation which can then be converted to an abstract-image which then in turn can be realised into different concrete formats such as .png, .svg etc.

Installation

npm install --save abstract-chart

The library is compiled to ES5 and no polyfills are required.

Usage

Example of chart XKCD 1612, "The worst part of colds".

import * as React from "react";
import * as AbstractChart from "abstract-chart";
import * as AbstractImage from "abstract-image";

const svg = AbstractImage.createSvg(
  AbstractChart.renderChart(generateLineChart())
);

function generateLineChart(): AbstractChart.Chart {
  const series = [
    AbstractChart.createChartLine({
      points: [
        { x: 0, y: 0 },
        { x: 1, y: 2 },
        { x: 2, y: 4 },
        { x: 3, y: 1.5 },
        { x: 4, y: 1 },
        { x: 5, y: 0 },
        { x: 6, y: 0 },
        { x: 7, y: 0 },
        { x: 8, y: 0 }
      ],
      color: AbstractImage.red,
      label: "How bad you feel",
      xAxis: "bottom",
      yAxis: "left"
    }),
    AbstractChart.createChartLine({
      points: [
        { x: 0, y: 0 },
        { x: 1, y: 0 },
        { x: 2, y: 0 },
        { x: 3, y: 1 },
        { x: 4, y: 2 },
        { x: 5, y: 3 },
        { x: 6, y: 2.8 },
        { x: 7, y: 2 },
        { x: 8, y: 1.5 }
      ],
      color: AbstractImage.blue,
      label: "How bad you sound",
      xAxis: "bottom",
      yAxis: "left"
    })
  ];

  const [xMin, xMax] = getLineRange(series, point => point.x);
  const [yMin, yMax] = getLineRange(series, point => point.y);

  const chart = AbstractChart.createChart({
    chartLines: series,
    xAxisBottom: AbstractChart.createLinearAxis(xMin, xMax, "Days with cold"),
    yAxisLeft: AbstractChart.createLinearAxis(yMin, yMax + 1, "Badness"),
    labelLayout: "center"
  });

  return chart;
}

function getLineRange(
  series: AbstractChart.ChartLine[],
  axisSelector: (point: AbstractImage.Point) => number
): [number, number] {
  const axisValues = series.map(serie => serie.points.map(axisSelector)).reduce(
    (soFar, current) => {
      return [...soFar, ...current];
    },
    [] as ReadonlyArray<number>
  );
  return [Math.min(...axisValues), Math.max(...axisValues)];
}