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assets.lib.dygraphs.datahandler.default.js Maven / Gradle / Ivy
/**
* @license
* Copyright 2013 David Eberlein ([email protected])
* MIT-licensed (http://opensource.org/licenses/MIT)
*/
/**
* @fileoverview DataHandler default implementation used for simple line charts.
* @author David Eberlein ([email protected])
*/
(function() {
/*global Dygraph:false */
"use strict";
/**
* @constructor
* @extends Dygraph.DataHandler
*/
Dygraph.DataHandlers.DefaultHandler = function() {
};
var DefaultHandler = Dygraph.DataHandlers.DefaultHandler;
DefaultHandler.prototype = new Dygraph.DataHandler();
/** @inheritDoc */
DefaultHandler.prototype.extractSeries = function(rawData, i, options) {
// TODO(danvk): pre-allocate series here.
var series = [];
var logScale = options.get('logscale');
for ( var j = 0; j < rawData.length; j++) {
var x = rawData[j][0];
var point = rawData[j][i];
if (logScale) {
// On the log scale, points less than zero do not exist.
// This will create a gap in the chart.
if (point <= 0) {
point = null;
}
}
series.push([ x, point ]);
}
return series;
};
/** @inheritDoc */
DefaultHandler.prototype.rollingAverage = function(originalData, rollPeriod,
options) {
rollPeriod = Math.min(rollPeriod, originalData.length);
var rollingData = [];
var i, j, y, sum, num_ok;
// Calculate the rolling average for the first rollPeriod - 1 points
// where
// there is not enough data to roll over the full number of points
if (rollPeriod == 1) {
return originalData;
}
for (i = 0; i < originalData.length; i++) {
sum = 0;
num_ok = 0;
for (j = Math.max(0, i - rollPeriod + 1); j < i + 1; j++) {
y = originalData[j][1];
if (y === null || isNaN(y))
continue;
num_ok++;
sum += originalData[j][1];
}
if (num_ok) {
rollingData[i] = [ originalData[i][0], sum / num_ok ];
} else {
rollingData[i] = [ originalData[i][0], null ];
}
}
return rollingData;
};
/** @inheritDoc */
DefaultHandler.prototype.getExtremeYValues = function(series, dateWindow,
options) {
var minY = null, maxY = null, y;
var firstIdx = 0, lastIdx = series.length - 1;
for ( var j = firstIdx; j <= lastIdx; j++) {
y = series[j][1];
if (y === null || isNaN(y))
continue;
if (maxY === null || y > maxY) {
maxY = y;
}
if (minY === null || y < minY) {
minY = y;
}
}
return [ minY, maxY ];
};
})();
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