labelsKMG2: false,
showLabelsOnHighlight: true,
- yValueFormatter: function(x) { return Dygraph.round_(x, 2); },
+ yValueFormatter: function(x, opt_numDigits) {
+ return x.toPrecision(opt_numDigits || 2);
+ },
strokeWidth: 1.0,
this.wilsonInterval_ = attrs.wilsonInterval || true;
this.is_initial_draw_ = true;
this.annotations_ = [];
+ this.numDigits_ = 2;
// Clear the div. This ensure that, if multiple dygraphs are passed the same
// div, then only one will be drawn.
/**
* Returns the current rolling period, as set by the user or an option.
- * @return {Number} The number of days in the rolling window
+ * @return {Number} The number of points in the rolling window
*/
Dygraph.prototype.rollPeriod = function() {
return this.rollPeriod_;
}
var point = this.selPoints_[i];
var c = new RGBColor(this.plotter_.colors[point.name]);
- var yval = fmtFunc(point.yval);
+ var yval = fmtFunc(point.yval, this.numDigits_ + 1); // In tenths.
replace += " <b><font color='" + c.toHex() + "'>"
+ point.name + "</font></b>:"
+ yval;
};
/**
- * Round a number to the specified number of digits past the decimal point.
- * @param {Number} num The number to round
- * @param {Number} places The number of decimals to which to round
- * @return {Number} The rounded number
- * @private
- */
-Dygraph.round_ = function(num, places) {
- var shift = Math.pow(10, places);
- return Math.round(num * shift)/shift;
-};
-
-/**
* Fires when there's data available to be graphed.
* @param {String} data Raw CSV data to be plotted
* @private
endDate = this.rawData_[this.rawData_.length - 1][0];
}
- var xTicks = this.attr_('xTicker')(startDate, endDate, this);
- this.layout_.updateOptions({xTicks: xTicks});
+ var ret = this.attr_('xTicker')(startDate, endDate, this);
+ if (ret.ticks !== undefined) { // Used numericTicks()?
+ this.layout_.updateOptions({xTicks: ret.ticks});
+ } else { // Used dateTicker() instead.
+ this.layout_.updateOptions({xTicks: ret});
+ }
};
// Time granularity enumeration
};
/**
+ * Determine the number of significant figures in a Number up to the specified
+ * precision. Note that there is no way to determine if a trailing '0' is
+ * significant or not, so by convention we return 1 for all of the following
+ * inputs: 1, 1.0, 1.00, 1.000 etc.
+ * @param {Number} x The input value.
+ * @param {Number} opt_maxPrecision Optional maximum precision to consider.
+ * Default and maximum allowed value is 13.
+ * @return {Number} The number of significant figures which is >= 1.
+ */
+Dygraph.significantFigures = function(x, opt_maxPrecision) {
+ var precision = Math.max(opt_maxPrecision || 13, 13);
+
+ // Convert the number to it's exponential notation form and work backwards,
+ // ignoring the 'e+xx' bit. This may seem like a hack, but doing a loop and
+ // dividing by 10 leads to roundoff errors. By using toExponential(), we let
+ // the JavaScript interpreter handle the low level bits of the Number for us.
+ var s = x.toExponential(precision);
+ var ePos = s.lastIndexOf('e'); // -1 case handled by return below.
+
+ for (var i = ePos - 1; i >= 0; i--) {
+ if (s[i] == '.') {
+ // Got to the decimal place. We'll call this 1 digit of precision because
+ // we can't know for sure how many trailing 0s are significant.
+ return 1;
+ } else if (s[i] != '0') {
+ // Found the first non-zero digit. Return the number of characters
+ // except for the '.'.
+ return i; // This is i - 1 + 1 (-1 is for '.', +1 is for 0 based index).
+ }
+ }
+
+ // Occurs if toExponential() doesn't return a string containing 'e', which
+ // should never happen.
+ return 1;
+};
+
+/**
* Add ticks when the x axis has numbers on it (instead of dates)
* @param {Number} startDate Start of the date window (millis since epoch)
* @param {Number} endDate End of the date window (millis since epoch)
var ticks = [];
if (vals) {
for (var i = 0; i < vals.length; i++) {
- ticks.push({v: vals[i]});
+ ticks[i] = {v: vals[i]};
}
} else {
// Basic idea:
if (low_val > high_val) scale *= -1;
for (var i = 0; i < nTicks; i++) {
var tickV = low_val + i * scale;
- ticks.push( {v: tickV} );
+ ticks[i] = {v: tickV};
}
}
k = 1024;
k_labels = [ "k", "M", "G", "T" ];
}
- var formatter = attr('yAxisLabelFormatter') ? attr('yAxisLabelFormatter') : attr('yValueFormatter');
+ var formatter = attr('yAxisLabelFormatter') ?
+ attr('yAxisLabelFormatter') : attr('yValueFormatter');
+
+ // Determine the number of decimal places needed for the labels below by
+ // taking the maximum number of significant figures for any label. We must
+ // take the max because we can't tell if trailing 0s are significant.
+ var numDigits = 0;
+ for (var i = 0; i < ticks.length; i++) {
+ var tickV = ticks[i].v;
+ numDigits = Math.max(Dygraph.significantFigures(tickV), numDigits);
+ }
for (var i = 0; i < ticks.length; i++) {
var tickV = ticks[i].v;
var absTickV = Math.abs(tickV);
- var label;
- if (formatter != undefined) {
- label = formatter(tickV);
- } else {
- label = Dygraph.round_(tickV, 2);
- }
- if (k_labels.length) {
+ var label = (formatter !== undefined) ?
+ formatter(tickV, numDigits) : tickV.toPrecision(numDigits);
+ if (k_labels.length > 0) {
// Round up to an appropriate unit.
var n = k*k*k*k;
for (var j = 3; j >= 0; j--, n /= k) {
if (absTickV >= n) {
- label = Dygraph.round_(tickV / n, 1) + k_labels[j];
+ label = (tickV / n).toPrecision(numDigits) + k_labels[j];
break;
}
}
}
ticks[i].label = label;
}
- return ticks;
+ return {ticks: ticks, numDigits: numDigits};
};
// Computes the range of the data series (including confidence intervals).
this.layout_.addDataset(this.attr_("labels")[i], datasets[i]);
}
- // TODO(danvk): this method doesn't need to return anything.
- var out = this.computeYAxisRanges_(extremes);
- var axes = out[0];
- var seriesToAxisMap = out[1];
- this.layout_.updateOptions( { yAxes: axes,
- seriesToAxisMap: seriesToAxisMap
+ this.computeYAxisRanges_(extremes);
+ this.layout_.updateOptions( { yAxes: this.axes_,
+ seriesToAxisMap: this.seriesToAxisMap_
} );
this.addXTicks_();
// primary axis. However, if an axis is specifically marked as having
// independent ticks, then that is permissible as well.
if (i == 0 || axis.independentTicks) {
- axis.ticks =
+ var ret =
Dygraph.numericTicks(axis.computedValueRange[0],
axis.computedValueRange[1],
this,
axis);
+ axis.ticks = ret.ticks;
+ this.numDigits_ = ret.numDigits;
} else {
var p_axis = this.axes_[0];
var p_ticks = p_axis.ticks;
tick_values.push(y_val);
}
- axis.ticks =
+ var ret =
Dygraph.numericTicks(axis.computedValueRange[0],
axis.computedValueRange[1],
this, axis, tick_values);
+ axis.ticks = ret.ticks;
+ this.numDigits_ = ret.numDigits;
}
}
-
- return [this.axes_, this.seriesToAxisMap_];
};
/**
* Note that this is where fractional input (i.e. '5/10') is converted into
* decimal values.
* @param {Array} originalData The data in the appropriate format (see above)
- * @param {Number} rollPeriod The number of days over which to average the data
+ * @param {Number} rollPeriod The number of points over which to average the
+ * data
*/
Dygraph.prototype.rollingAverage = function(originalData, rollPeriod) {
if (originalData.length < 2)
}
} else {
// Calculate the rolling average for the first rollPeriod - 1 points where
- // there is not enough data to roll over the full number of days
+ // there is not enough data to roll over the full number of points
var num_init_points = Math.min(rollPeriod - 1, originalData.length - 2);
if (!this.attr_("errorBars")){
if (rollPeriod == 1) {
};
/**
- * Adjusts the number of days in the rolling average. Updates the graph to
+ * Adjusts the number of points in the rolling average. Updates the graph to
* reflect the new averaging period.
- * @param {Number} length Number of days over which to average the data.
+ * @param {Number} length Number of points over which to average the data.
*/
Dygraph.prototype.adjustRoll = function(length) {
this.rollPeriod_ = length;
projects / dygraphs.git / blobdiff