@stdlib/plot NPM

Plot

Plotting.

Installation

npm install @stdlib/plot

Usage

var plot = require( '@stdlib/plot' );

plot

Plot API.

var x = [ 1, 2, 3 ];
var y = [ 1, 0, 1 ];

var plt = plot( [ x ], [ y ] );

Examples

var randn = require( '@stdlib/random/base/box-muller' );
var Float64Array = require( '@stdlib/array/float64' );
var now = require( '@stdlib/time/now' );
var plot = require( '@stdlib/plot' );

var t;
var x;
var y;
var i;

// Create some data...
t = now() * 1000;
x = new Float64Array( 100 );
y = new Float64Array( x.length );
for ( i = 0; i < x.length; i++ ) {
    x[ i ] = t + (i*360000);
    y[ i ] = 50.0 + (10.0*randn());
}

// Create a new plot:
var plt = plot( [x], [y], {
    'width': 600,
    'height': 480,
    'xScale': 'time',
    'xTickFormat': '%H:%M',
    'renderFormat': 'html'
});

// Render as a virtual DOM tree:
var vtree = plt.render( 'vdom' );
console.log( JSON.stringify( vtree ) );

// Render as HTML:
var html = plt.render();
console.log( html );

// Listen for 'render' events (e.g., when triggered due to changes in state):
plt.on( 'render', onRender );

setTimeout( update, 1000 );

function update() {
    plt.width = 720;
}

function onRender( html ) {
    console.log( html );
}

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.