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Filtering data before decimation (#8843)
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* Filtering data before decimation

Using only points between the currently displayed x-axis for the decimation algorithm.
Allows better resolution, especially if using a zoom

If data are outside range, they will not be displayed, hence the line graph will not show the trend at extremities

* Fix LTTB algorithm

* Adding test file

* Simplifying count algorithm for decimation plugin
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Nico-DF committed Apr 7, 2021
1 parent 82d42bd commit ba3320e
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Showing 3 changed files with 198 additions and 19 deletions.
3 changes: 2 additions & 1 deletion src/controllers/controller.line.js
@@ -1,5 +1,5 @@
import DatasetController from '../core/core.datasetController';
import {isNumber, _limitValue} from '../helpers/helpers.math';
import {_limitValue, isNumber} from '../helpers/helpers.math';
import {_lookupByKey} from '../helpers/helpers.collection';

export default class LineController extends DatasetController {
Expand Down Expand Up @@ -137,6 +137,7 @@ function getStartAndCountOfVisiblePoints(meta, points, animationsDisabled) {
const {iScale, _parsed} = meta;
const axis = iScale.axis;
const {min, max, minDefined, maxDefined} = iScale.getUserBounds();

if (minDefined) {
start = _limitValue(Math.min(
_lookupByKey(_parsed, iScale.axis, min).lo,
Expand Down
70 changes: 52 additions & 18 deletions src/plugins/plugin.decimation.js
@@ -1,6 +1,6 @@
import {isNullOrUndef, resolve} from '../helpers';
import {_limitValue, _lookupByKey, isNullOrUndef, resolve} from '../helpers';

function lttbDecimation(data, availableWidth, options) {
function lttbDecimation(data, start, count, availableWidth, options) {
/**
* Implementation of the Largest Triangle Three Buckets algorithm.
*
Expand All @@ -10,32 +10,43 @@ function lttbDecimation(data, availableWidth, options) {
* The original implementation is MIT licensed.
*/
const samples = options.samples || availableWidth;
// There is less points than the threshold, returning the whole array
if (samples >= count) {
return data.slice(start, start + count);
}

const decimated = [];

const bucketWidth = (data.length - 2) / (samples - 2);
const bucketWidth = (count - 2) / (samples - 2);
let sampledIndex = 0;
let a = 0;
const endIndex = start + count - 1;
// Starting from offset
let a = start;
let i, maxAreaPoint, maxArea, area, nextA;

decimated[sampledIndex++] = data[a];

for (i = 0; i < samples - 2; i++) {
let avgX = 0;
let avgY = 0;
let j;
const avgRangeStart = Math.floor((i + 1) * bucketWidth) + 1;
const avgRangeEnd = Math.min(Math.floor((i + 2) * bucketWidth) + 1, data.length);

// Adding offset
const avgRangeStart = Math.floor((i + 1) * bucketWidth) + 1 + start;
const avgRangeEnd = Math.min(Math.floor((i + 2) * bucketWidth) + 1, count) + start;
const avgRangeLength = avgRangeEnd - avgRangeStart;

for (j = avgRangeStart; j < avgRangeEnd; j++) {
avgX = data[j].x;
avgY = data[j].y;
avgX += data[j].x;
avgY += data[j].y;
}

avgX /= avgRangeLength;
avgY /= avgRangeLength;

const rangeOffs = Math.floor(i * bucketWidth) + 1;
const rangeTo = Math.floor((i + 1) * bucketWidth) + 1;
// Adding offset
const rangeOffs = Math.floor(i * bucketWidth) + 1 + start;
const rangeTo = Math.floor((i + 1) * bucketWidth) + 1 + start;
const {x: pointAx, y: pointAy} = data[a];

// Note that this is changed from the original algorithm which initializes these
Expand Down Expand Up @@ -63,22 +74,23 @@ function lttbDecimation(data, availableWidth, options) {
}

// Include the last point
decimated[sampledIndex++] = data[data.length - 1];
decimated[sampledIndex++] = data[endIndex];

return decimated;
}

function minMaxDecimation(data, availableWidth) {
function minMaxDecimation(data, start, count, availableWidth) {
let avgX = 0;
let countX = 0;
let i, point, x, y, prevX, minIndex, maxIndex, startIndex, minY, maxY;
const decimated = [];
const endIndex = start + count - 1;

const xMin = data[0].x;
const xMax = data[data.length - 1].x;
const xMin = data[start].x;
const xMax = data[endIndex].x;
const dx = xMax - xMin;

for (i = 0; i < data.length; ++i) {
for (i = start; i < start + count; ++i) {
point = data[i];
x = (point.x - xMin) / dx * availableWidth;
y = point.y;
Expand Down Expand Up @@ -152,6 +164,27 @@ function cleanDecimatedData(chart) {
});
}

function getStartAndCountOfVisiblePointsSimplified(meta, points) {
const pointCount = points.length;

let start = 0;
let count;

const {iScale} = meta;
const {min, max, minDefined, maxDefined} = iScale.getUserBounds();

if (minDefined) {
start = _limitValue(_lookupByKey(points, iScale.axis, min).lo, 0, pointCount - 1);
}
if (maxDefined) {
count = _limitValue(_lookupByKey(points, iScale.axis, max).hi + 1, start, pointCount) - start;
} else {
count = pointCount - start;
}

return {start, count};
}

export default {
id: 'decimation',

Expand Down Expand Up @@ -196,7 +229,8 @@ export default {
return;
}

if (data.length <= 4 * availableWidth) {
let {start, count} = getStartAndCountOfVisiblePointsSimplified(meta, data);
if (count <= 4 * availableWidth) {
// No decimation is required until we are above this threshold
return;
}
Expand All @@ -223,10 +257,10 @@ export default {
let decimated;
switch (options.algorithm) {
case 'lttb':
decimated = lttbDecimation(data, availableWidth, options);
decimated = lttbDecimation(data, start, count, availableWidth, options);
break;
case 'min-max':
decimated = minMaxDecimation(data, availableWidth);
decimated = minMaxDecimation(data, start, count, availableWidth);
break;
default:
throw new Error(`Unsupported decimation algorithm '${options.algorithm}'`);
Expand Down
144 changes: 144 additions & 0 deletions test/specs/plugin.decimation.tests.js
@@ -0,0 +1,144 @@
describe('Plugin.decimation', function() {

describe('auto', jasmine.fixture.specs('plugin.decimation'));

describe('lttb', function() {
const originalData = [
{x: 0, y: 0},
{x: 1, y: 1},
{x: 2, y: 2},
{x: 3, y: 3},
{x: 4, y: 4},
{x: 5, y: 5},
{x: 6, y: 6},
{x: 7, y: 7},
{x: 8, y: 8},
{x: 9, y: 9}];

it('should draw all element if sample is greater than data', function() {
var chart = window.acquireChart({
type: 'line',
data: {
datasets: [{
data: originalData,
label: 'dataset1'
}]
},
scales: {
x: {
type: 'linear',
min: 0,
max: 9
}
},
options: {
plugins: {
decimation: {
enabled: true,
algorithm: 'lttb',
samples: 100
}
}
}
}, {
canvas: {
height: 1,
width: 1
},
wrapper: {
height: 1,
width: 1
}
});

expect(chart.data.datasets[0].data.length).toBe(10);
});

it('should draw the specified number of elements', function() {
var chart = window.acquireChart({
type: 'line',
data: {
datasets: [{
data: originalData,
label: 'dataset1'
}]
},
options: {
parsing: false,
scales: {
x: {
type: 'linear',
min: 0,
max: 9
}
},
plugins: {
decimation: {
enabled: true,
algorithm: 'lttb',
samples: 7
}
}
}
}, {
canvas: {
height: 1,
width: 1
},
wrapper: {
height: 1,
width: 1
}
});

expect(chart.data.datasets[0].data.length).toBe(7);
});

it('should draw all element only in range', function() {
var chart = window.acquireChart({
type: 'line',
data: {
datasets: [{
data: originalData,
label: 'dataset1'
}]
},
options: {
parsing: false,
scales: {
x: {
type: 'linear',
min: 3,
max: 6
}
},
plugins: {
decimation: {
enabled: true,
algorithm: 'lttb',
samples: 7
}
}
}
}, {
canvas: {
height: 1,
width: 1
},
wrapper: {
height: 1,
width: 1
}
});

// Data range is 4 (3->6) and the first point is added
const expectedPoints = 5;
expect(chart.data.datasets[0].data.length).toBe(expectedPoints);
expect(chart.data.datasets[0].data[0].x).toBe(originalData[2].x);
expect(chart.data.datasets[0].data[1].x).toBe(originalData[3].x);
expect(chart.data.datasets[0].data[2].x).toBe(originalData[4].x);
expect(chart.data.datasets[0].data[3].x).toBe(originalData[5].x);
expect(chart.data.datasets[0].data[4].x).toBe(originalData[6].x);
});
});
});

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