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plotty

plotty is a library for helping plot 2D data and provide color scaling functionality. Put your array data in it and receive a fresh image.

Installation

Installation with Bower:

bower install --save santilland/plotty

Installation with npm:

npm install plotty --save

Docs

http://santilland.github.io/plotty/

Usage

Just include script to site and add a canvas element where you want to render the data.

<head>
  <script src="dist/plotty.min.js"></script>
</head>
<body>
  <canvas id="canvas" width=100 height=100></canvas>
</body>

and render using predefined settings:

// Generate or load some data (Working with buffer arrays for now)
var width = 100;
var height = 100;
var exampledata = new Float32Array(height * width);

var xoff = width / 3;
var yoff = height / 3;

for (y = 0; y <= height; y++) {
  for (x = 0; x <= width; x++) {
    // calculate sine based on distance
    x2 = x - xoff;
    y2 = y - yoff;
    d = Math.sqrt(x2*x2 + y2*y2);
    t = Math.sin(d/6.0);

    // save sine
    exampledata[(y*width)+x] = t;
  }
}

plot = new plotty.plot({
  canvas: document.getElementById("canvas"),
  data: exampledata, width: width, height: height,
  domain: [-1, 1], colorScale: 'viridis'
});
plot.render();

There is a list of predefined colorscales:

viridis inferno turbo
rainbow jet hsv
hot cool spring
summer autumn winter
bone copper greys
ylgnbu greens ylorrd
bluered rdbu picnic
portland blackbody earth
electric magma plasma

It is also possible to define your own colorscale using the addColorScale function.

plotty.addColorScale("mycolorscale", ["#00ff00", "#0000ff", "#ff0000"], [0, 0.5, 1]);
//                  ( identifier   ,  color_steps,                    , percentage_steps)

Development

The following npm commands are provided to help with the development:

  • npm run build: Build a non-minified version of plotty.
  • npm run build-min: Build a minified version of plotty.
  • npm run watch: Start a watcher that continuously builds plotty upon changes.
  • npm start: Start a development server.
  • npm run jsdoc: Build the documentation.

Examples

Generated data:

Example plotty rendering

Scientific data:

Second Example plotty rendering

About

Plotting library experiments using WebGL and Canvas2D to apply color scale to a bufferarray object.

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