@visx/scale

What is @visx/scale?

@visx/scale is a part of the VisX library, which provides a collection of reusable low-level visualization components for React. The @visx/scale package specifically deals with creating and managing scales, which are functions that map data values to visual values. These scales are essential for creating visualizations like charts and graphs.

What are @visx/scale's main functionalities?

Linear Scale

Creates a linear scale that maps a domain of [0, 100] to a range of [0, 500]. This is useful for creating continuous scales for visualizations like line charts.

const scaleLinear = require('@visx/scale').scaleLinear;
const linear = scaleLinear({
  domain: [0, 100],
  range: [0, 500]
});
console.log(linear(50)); // 250

Band Scale

Creates a band scale that maps categorical data to a range. This is useful for creating bar charts where each category needs to be spaced evenly.

const scaleBand = require('@visx/scale').scaleBand;
const band = scaleBand({
  domain: ['A', 'B', 'C'],
  range: [0, 300],
  padding: 0.1
});
console.log(band('B')); // 110

Time Scale

Creates a time scale that maps dates to a range. This is useful for visualizing time series data.

const scaleTime = require('@visx/scale').scaleTime;
const time = scaleTime({
  domain: [new Date(2020, 0, 1), new Date(2020, 11, 31)],
  range: [0, 365]
});
console.log(time(new Date(2020, 5, 15))); // 165

Logarithmic Scale

Creates a logarithmic scale that maps a domain to a range. This is useful for visualizing data that spans several orders of magnitude.

const scaleLog = require('@visx/scale').scaleLog;
const log = scaleLog({
  domain: [1, 100],
  range: [0, 2]
});
console.log(log(10)); // 1

Other packages similar to @visx/scale

d3-scale

d3-scale is a part of the D3.js library and provides similar functionality for creating scales. It supports a wide variety of scale types including linear, logarithmic, time, and ordinal scales. Compared to @visx/scale, d3-scale is more widely used and has a larger community, but @visx/scale is more tailored for use with React.

victory

Victory is a React library for creating data visualizations. It includes built-in support for scales and provides a higher-level API compared to @visx/scale. While @visx/scale offers more flexibility and lower-level control, Victory is easier to use for common chart types.

recharts

Recharts is another React library for building charts. It provides a set of declarative components for creating charts and includes built-in support for scales. Recharts is more opinionated and easier to use for standard chart types, whereas @visx/scale offers more customization and flexibility.

README

@visx/scale

Installation

npm install --save @visx/scale

Overview of scales

The @visx/scale package aims to provide a wrapper around existing d3 scaling originally defined in the d3-scale package.

Scales are functions that help you map your data values to the physical pixel size that your graph requires. For example, let's say you wanted to create a bar chart to show populations per country. If you were to use a 1-to-1 scale (IE: 1 pixel per y value) your bar for the USA would be about 321.4 million pixels high!

Instead, you can tell visx a function to use that takes a data value (like your population per country) and quantitatively maps to another dimensional space, like pixels.

For example, we could create a linear scale like this:

const graphWidth = 500;
const graphHeight = 200;
const [minX, maxX] = getXMinAndMax();
const [minY, maxY] = getYMinAndMax();

const xScale = Scale.scaleLinear({
  domain: [minX, maxX], // x-coordinate data values
  range: [0, graphWidth], // svg x-coordinates, svg x-coordinates increase left to right
  round: true,
});

const yScale = Scale.scaleLinear({
  domain: [minY, maxY], // y-coordinate data values
  // svg y-coordinates, these increase from top to bottom so we reverse the order
  // so that minY in data space maps to graphHeight in svg y-coordinate space
  range: [graphHeight, 0],
  round: true,
});

// ...

const points = data.map((d, i) => {
  const barHeight = graphHeight - yScale(d.y);
  return <Shape.Bar height={barHeight} y={graphHeight - barHeight} />;
});

Different types of scales

Band scale

Original d3 docs

Example:

const scale = Scale.scaleBand({
  /*
    range,
    round,
    domain,
    padding,
    nice = false
  */
});

Linear scale

Original d3 docs

Example:

const scale = Scale.scaleLinear({
  /*
    range,
    round,
    domain,
    nice = false,
    clamp = false,
  */
});

Log scale

Original d3 docs

Example:

const scale = Scale.scaleLog({
  /*
    range,
    round,
    domain,
    base,
    nice = false,
    clamp = false,
  */
});

Radial scale

Original d3 docs

Example:

const scale = Scale.scaleRadial({
  /*
    range,
    round,
    domain,
    nice = false,
    clamp = false,
  */
});

Ordinal scale

Original d3 docs

Example:

const scale = Scale.scaleOrdinal({
  /*
    range,
    domain,
    unknown,
  */
});

Point scale

Original d3 docs

Example:

const scale = Scale.scalePoint({
  /*
    range,
    round,
    domain,
    padding,
    align,
    nice = false,
  */
});

Power scale

Original d3 docs

Example:

const scale = Scale.scalePower({
  /*
    range,
    round,
    domain,
    exponent,
    nice = false,
    clamp = false,
  */
});

Square Root scale

Original d3 docs

Example:

// No need to set the exponent, It is always 0.5
const scale = Scale.scaleSqrt({
  /*
    range,
    round,
    domain,
    nice = false,
    clamp = false,
  */
});

Time scale

Original d3 docs

Example:

const scale = Scale.scaleTime({
  /*
    range,
    round,
    domain,
    nice = false,
    clamp = false,
   */
});

You also can scale time with Coordinated Universal Time via scaleUtc.

Example:

const scale = Scale.scaleUtc({
  /*
    range,
    round,
    domain,
    nice = false,
    clamp = false,
   */
});

Color Scales

D3 scales offer the ability to map points to colors. You can use d3-scale-chromatic in conjunction with visx's scaleOrdinal to make color scales.

You can install d3-scale-chromatic with npm:

npm install --save d3-scale-chromatic

You create a color scale like so:

import { scaleOrdinal } from '@visx/scale';
import { schemeSet1 } from 'd3-scale-chromatic';

const colorScale = scaleOrdinal({
  domain: arrayOfThings,
  range: schemeSet1,
});

This generates a color scale with the following colors:

There are a number of other categorical color schemes available, along with other continuous color schemes.

Changelog

v1.6.1 (2021-03-08)

:bug: Bug Fix

• fix(network): string type in node/linkComponent #1078
• fix(xychart/Axis): export AxisScale type, set default Scale generic #1094

:memo: Documentation

• fix(network): string type in node/linkComponent #1078

:house: Internal

• build(happo): decrease compare threshold #1088
• new(workflows/push): automate releases #1073

:trophy: Contributors

• jraymakers
• williaster