Largest Triangle 3 Buckets with 1D Arrays as input
npm install datareduce``javascript
const datareduce = require("datareduce")
dsX = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ]
dsY = [ 8, 4, 2, 4, 4, 9, 8, 8, 3, 9, 7, 2, 5, 3, 7, 3 ]
reduced_len = 5
var rdsX,rdsY
[rdsX,rdsY] = datareduce.lt3b(dsX, dsY, reduced_len)
console.log('reduced X',rdsX)
console.log('reduced Y',rdsY)
`
Outputs
`javascript`
reduced X [ 1, 3, 6, 12, 16 ]
reduced Y [ 8, 2, 9, 2, 3 ]
npm install git+https://github.com/troxel/datareduce.git
or
npm install datareduce
Node package to reduce or downsample data using the Largest Triangle Three Buckets algorithm
Description
Implements a downsample technique known as Largest Triangle Three Buckets (lttb or lt3b) as defined in Sveinn Steinarsson MS thesis.
http://skemman.is/stream/get/1946/15343/37285/3/SS_MSthesis.pdf
The idea is to downsample a data set without losing the visual character of the plotted data. The technique draws on ideas in cartographic generalization or polyline simplification. This technique is often useful in client-server applications such as webserver-browser where the length of the data far exceeds the pixels available to plot. Reducing the data size significantly speeds up data transfer and rendering time.
There are other packages that do the same but expect input of the form
data = [ [1,5], [2.4], [3,7]...]
Which is not suitable for many plotting packages such as plotly or matplotlit or dygraph which use data in the form
dataX = [1,2,3...]
datay = [5,4,7...]
When converting 100000s of data points the cost is significant to convert back and forth.
The package implicitly handles the situation of the x-axis being a Date object which is common with many
plotting use cases.
In the test directory there is a program that compares the performance with respect to other packages and checks against a
reference to verify results are as expected
Time to reduce 70000 data points to 1000
-------------------------
d3fc-sample: 55.86ms
-------------------------
downsampler-lttb: 21.789ms
-------------------------
reducedata.lt3b: 19.792ms
-------------------------
Comparison of reduced dataset between lttb and lt3b are EQUAL :)
Results per Node.js v18.12.0 on Raspberry Pi 4.
Note: In order to run the performance and compare test script it will be required to install 'downsample-lttb' and 'd3fc-sample'
~