This demo application belongs to the set of examples for LightningChart JS, data visualization library for JavaScript.
LightningChart JS is entirely GPU accelerated and performance optimized charting library for presenting massive amounts of data. It offers an easy way of creating sophisticated and interactive charts and adding them to your website or web application.
The demo can be used as an example or a seed project. Local execution requires the following steps:
-
Make sure that relevant version of Node.js is installed
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Open the project folder in a terminal:
npm install # fetches dependencies npm start # builds an application and starts the development server -
The application is available at http://localhost:8080 in your browser, webpack-dev-server provides hot reload functionality.
This example showcases simple usage of HeatmapGridSeries, a simple, yet incredibly series type.
HeatmapGridSeries visualizes three dimensional data (X, Y, color) of large quantities.
It can easily handle data sets in million data points range even on low-end devices.
With large amounts of RAM even billions of data points can be visualized!
Heatmaps can be created in XY Charts:
// Add heatmap Grid Series to a XY Chart
chartXY.addHeatmapGridSeries({
columns: horizontalResolution,
rows: verticalResolution,
})The data used for the heatmap is created using the WaterdropGenerator function in the example code.
When HeatmapGridSeries is created, there are minimum of two properties that have to be specified:
columns: amount of data values along X dimension.
rows: amount of data values along Y dimension.
Configuration of these two properties is enough for a fully functioning heatmap grid series.
The following optional properties can be used for tweaking heatmap behavior for exact application purposes:
start: Axis coordinate where heatmap grid begins.
end: Axis coordinate where heatmap grid ends.
step: Alternate syntax, supplying a step value will result in automatic calculation of end based on columns / rows amount.
dataOrder: By default incoming intensity data is treated as list of columns. This can be flipped by selecting dataOrder: 'rows'.
The data set of HeatmapGridSeries is defined as a number matrix, for example:
// Example syntax of 3x5 number matrix.
;[
[0, 1, 0, 1, 0],
[1, 0, 1, 0, 0],
[0, 0, 0, 0, 0],
]The data set is specified with invalidateIntensityValues method. There are two overrides for this method.
// Example syntax, invalidate intensity values override #1, specify data from beginning of heatmap.
heatmap.invalidateIntensityValues([
// dataOrder: 'columns', columns: 3, rows: 5
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
])// Example syntax, invalidate intensity values override #2, specify data from arbitrary offset.
heatmap.invalidateIntensityValues({
iColumn: 10,
iRow: 0,
values: [
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
],
})If you notice an error in the example code, please open an issue on GitHub repository of the entire example.
Official API documentation can be found on LightningChart website.
If the docs and other materials do not solve your problem as well as implementation help is needed, ask on StackOverflow (tagged lightningchart).
If you think you found a bug in the LightningChart JavaScript library, please contact sales@lightningchart.com.
Direct developer email support can be purchased through a Support Plan or by contacting sales@lightningchart.com.
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