regl-scatter2d
v3.3.1
Published
Scatter2d plot built with regl
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regl-scatter2d
Fast and precise 2d scatter plot for lots of points.
Remake on gl-scatter2d, covering other scatter-related components.
Demo.
Usage
let regl = require('regl')({extensions: 'oes_element_index_uint'})
let createScatter = require('regl-scatter2d')
let scatter = createScatter(regl)
//draw 5 points
scatter({
positions: [0,0, 1,0, 2,0, 1,1, 2,1],
color: 'rgba(0, 100, 200, .75)'
})
createScatter(regl)
Create new scatter plot instance from regl
. regl
instance should have OES_element_index_uint
extension enabled.
scatter(optionsA, optionsB, ...rest)
Draw scatter points corresponding to options.
// render multiple point groups
scatter(
{ points: [0,0, 1,1], color: 'blue', marker: null },
{ points: [0,1, 1,0], color: 'red', marker: someSdf }
)
Option | Default | Description
---|---|---
positions
, points
| []
| An array of the unrolled xy coordinates of the points as [x,y, x,y, ...points]
or array of points [[x,y], [x,y], ...points]
. Can be an object with {x: [...xValues], y: [...yValues]}
planar values. For more precise memory control, like in matrix case, x
or y
can be an object of the form {x: {buffer: reglBuffer, offset: value}}
, then the reglBuffer
will be reused.
size
, sizes
| 12
| Number or array with marker sizes in pixels. Array length should correspond to positions
.
borderSize
, borderSizes
| 1
| Number or array with border sizes in pixels. Array length should correspond to positions
.
color
, colors
| 'black'
| Color or array with colors. Each color can be a css color string or an array with float 0..1
values.
borderColor
, borderColors
| 'transparent'
| Border color or array with border colors.
opacity
| 1
| Regulate marker transparency separately from colors.
marker
, markers
| null
| Marker SDF image, should be a rectangular array with 0..1
1-channel values of signed distance field. Use bitmap-sdf or svg-path-sdf to generate distance array from a canvas, image or svg. .5
value of distance corresponds to the border line. If null
, circular marker is used.
range
, dataBox
| null
| Data bounds limiting visible data as [left, top, right, bottom]
. If null
, the range is detected as positions
boundaries.
viewport
, viewBox
| null
| Bounding box limiting visible area within the canvas in pixels, can be an array [left, top, right, bottom]
or an object {left, top, right, bottom}
or {x, y, w, h}
.
snap
| null
| A bool, number of points threshold to enable snapping or point-cluster tree instance.
scatter.update(optionsA, optionsB, ...rest)
Update options corresponding to passes, not incurring redraw. Passing null
will remove previously loaded pass.
// update 3 passes
scatter.update(a, b, c)
// update 1st pass, remove 2nd pass, ignore 3rd pass
scatter.update(a, null)
// update 2nd pass (former 3rd pass)
scatter.update(null, b)
// update n-th pass
scatter.update.apply(scatter, Array.from({length: 10, 9: options}))
scatter.draw(id1|els1?, id2|els2?, ...)
Draw groups corresponding to id
s, optionally specify marker ids to draw via els
:
// create 3 groups of points
scatter.update(
{points: [0,1, 1,0], color: 'red', marker: squareSdf},
{points: [1,2, 2,1], color: 'green', marker: triangleSdf},
{points: [0,0, 1,1], color: 'blue', marker: null}
)
// draw all groups
scatter.draw()
// draw red group
scatter.draw(0)
// draw green and blue group
scatter.draw(1, 2)
// draw the second point of the blue group and the first point of the red group
scatter.draw([1], null, [0])
scatter.destroy()
Dispose scatter instance and associated resources.
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License
© 2017 Dmitry Yv. MIT License
Development supported by plot.ly.