dygraphs
Version:
dygraphs is a fast, flexible open source JavaScript charting library.
113 lines (108 loc) • 15.3 kB
JavaScript
/**
* @license
* Copyright 2013 David Eberlein (david.eberlein@ch.sauter-bc.com)
* MIT-licenced: https://opensource.org/licenses/MIT
*/
/**
* @fileoverview DataHandler implementation for the combination
* of error bars and fractions options.
* @author David Eberlein (david.eberlein@ch.sauter-bc.com)
*/
/*global Dygraph:false */
;
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = void 0;
var _bars = _interopRequireDefault(require("./bars"));
function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
/**
* @constructor
* @extends Dygraph.DataHandlers.BarsHandler
*/
var FractionsBarsHandler = function FractionsBarsHandler() {};
FractionsBarsHandler.prototype = new _bars["default"]();
/** @inheritDoc */
FractionsBarsHandler.prototype.extractSeries = function (rawData, i, options) {
// TODO(danvk): pre-allocate series here.
var series = [];
var x, y, point, num, den, value, stddev, variance;
var mult = 100.0;
var seriesLabel = options.get("labels")[i];
var logScale = options.getForSeries("logscale", seriesLabel);
var sigma = options.getForSeries("sigma", seriesLabel);
for (var j = 0; j < rawData.length; j++) {
x = rawData[j][0];
point = rawData[j][i];
if (logScale && point !== null) {
// On the log scale, points less than zero do not exist.
// This will create a gap in the chart.
if (point[0] <= 0 || point[1] <= 0) {
point = null;
}
}
// Extract to the unified data format.
if (point !== null) {
num = point[0];
den = point[1];
if (num !== null && !isNaN(num)) {
value = den ? num / den : 0.0;
stddev = den ? sigma * Math.sqrt(value * (1 - value) / den) : 1.0;
variance = mult * stddev;
y = mult * value;
// preserve original values in extras for further filtering
series.push([x, y, [y - variance, y + variance, num, den]]);
} else {
series.push([x, num, [num, num, num, den]]);
}
} else {
series.push([x, null, [null, null, null, null]]);
}
}
return series;
};
/** @inheritDoc */
FractionsBarsHandler.prototype.rollingAverage = function (originalData, rollPeriod, options, i) {
rollPeriod = Math.min(rollPeriod, originalData.length);
var rollingData = [];
var seriesLabel = options.get("labels")[i];
var sigma = options.getForSeries("sigma", seriesLabel);
var wilsonInterval = options.getForSeries("wilsonInterval", seriesLabel);
var low, high, i, stddev;
var num = 0;
var den = 0; // numerator/denominator
var mult = 100.0;
for (i = 0; i < originalData.length; i++) {
num += originalData[i][2][2];
den += originalData[i][2][3];
if (i - rollPeriod >= 0) {
num -= originalData[i - rollPeriod][2][2];
den -= originalData[i - rollPeriod][2][3];
}
var date = originalData[i][0];
var value = den ? num / den : 0.0;
if (wilsonInterval) {
// For more details on this confidence interval, see:
// https://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval
if (den) {
var p = value < 0 ? 0 : value,
n = den;
var pm = sigma * Math.sqrt(p * (1 - p) / n + sigma * sigma / (4 * n * n));
var denom = 1 + sigma * sigma / den;
low = (p + sigma * sigma / (2 * den) - pm) / denom;
high = (p + sigma * sigma / (2 * den) + pm) / denom;
rollingData[i] = [date, p * mult, [low * mult, high * mult]];
} else {
rollingData[i] = [date, 0, [0, 0]];
}
} else {
stddev = den ? sigma * Math.sqrt(value * (1 - value) / den) : 1.0;
rollingData[i] = [date, mult * value, [mult * (value - stddev), mult * (value + stddev)]];
}
}
return rollingData;
};
var _default = FractionsBarsHandler;
exports["default"] = _default;
module.exports = exports.default;
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