Package Exports

@stdlib/plot
@stdlib/plot/ctor
@stdlib/plot/sparklines/base/ctor
@stdlib/plot/sparklines/unicode
@stdlib/plot/sparklines/unicode/column
@stdlib/plot/sparklines/unicode/line
@stdlib/plot/sparklines/unicode/tristate
@stdlib/plot/sparklines/unicode/up-down
@stdlib/plot/sparklines/unicode/win-loss

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/plot) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Plot

Standard library plotting.

Installation

npm install @stdlib/plot

Usage

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

plot

Standard library plotting.

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.

License

See LICENSE.

@stdlib/plot