this.previousVerticalX_ = -1;
this.fractions_ = attrs.fractions || false;
this.dateWindow_ = attrs.dateWindow || null;
- this.valueRange_ = attrs.valueRange || null;
this.wilsonInterval_ = attrs.wilsonInterval || true;
this.is_initial_draw_ = true;
this.annotations_ = [];
this.start_();
};
-Dygraph.prototype.attr_ = function(name, series) {
- if (series &&
- typeof(this.user_attrs_[series]) != 'undefined' &&
- typeof(this.user_attrs_[series][name]) != 'undefined') {
- return this.user_attrs_[series][name];
+Dygraph.prototype.attr_ = function(name, seriesName) {
+ if (seriesName &&
+ typeof(this.user_attrs_[seriesName]) != 'undefined' &&
+ this.user_attrs_[seriesName] != null &&
+ typeof(this.user_attrs_[seriesName][name]) != 'undefined') {
+ return this.user_attrs_[seriesName][name];
} else if (typeof(this.user_attrs_[name]) != 'undefined') {
return this.user_attrs_[name];
} else if (typeof(this.attrs_[name]) != 'undefined') {
if (this.previousVerticalX_ >= 0) {
// Determine the maximum highlight circle size.
var maxCircleSize = 0;
- var num_series = this.attr_('labels').length;
- for (var i = 1; i < num_series; i++) {
- var r = this.attr_('highlightCircleSize', i);
+ var labels = this.attr_('labels');
+ for (var i = 1; i < labels.length; i++) {
+ var r = this.attr_('highlightCircleSize', labels[i]);
if (r > maxCircleSize) maxCircleSize = r;
}
var px = this.previousVerticalX_;
ctx.save();
for (var i = 0; i < this.selPoints_.length; i++) {
if (!isOK(this.selPoints_[i].canvasy)) continue;
- var setIdx = this.indexFromSetName(this.selPoints_[i].name);
- var circleSize = this.attr_('highlightCircleSize', setIdx);
+ var circleSize =
+ this.attr_('highlightCircleSize', this.selPoints_[i].name);
ctx.beginPath();
ctx.fillStyle = this.plotter_.colors[this.selPoints_[i].name];
ctx.arc(canvasx, this.selPoints_[i].canvasy, circleSize,
* @return {Array.<Object>} Array of {label, value} tuples.
* @public
*/
-Dygraph.numericTicks = function(minV, maxV, self) {
+Dygraph.numericTicks = function(minV, maxV, self, attr) {
+ // This is a bit of a hack to allow per-axis attributes.
+ if (!attr) attr = self.attr_;
+
// Basic idea:
// Try labels every 1, 2, 5, 10, 20, 50, 100, etc.
// Calculate the resulting tick spacing (i.e. this.height_ / nTicks).
// The first spacing greater than pixelsPerYLabel is what we use.
// TODO(danvk): version that works on a log scale.
- if (self.attr_("labelsKMG2")) {
+ if (attr("labelsKMG2")) {
var mults = [1, 2, 4, 8];
} else {
var mults = [1, 2, 5];
}
var scale, low_val, high_val, nTicks;
// TODO(danvk): make it possible to set this for x- and y-axes independently.
- var pixelsPerTick = self.attr_('pixelsPerYLabel');
+ var pixelsPerTick = attr('pixelsPerYLabel');
for (var i = -10; i < 50; i++) {
- if (self.attr_("labelsKMG2")) {
+ if (attr("labelsKMG2")) {
var base_scale = Math.pow(16, i);
} else {
var base_scale = Math.pow(10, i);
var ticks = [];
var k;
var k_labels = [];
- if (self.attr_("labelsKMB")) {
+ if (attr("labelsKMB")) {
k = 1000;
k_labels = [ "K", "M", "B", "T" ];
}
- if (self.attr_("labelsKMG2")) {
+ if (attr("labelsKMG2")) {
if (k) self.warn("Setting both labelsKMB and labelsKMG2. Pick one!");
k = 1024;
k_labels = [ "k", "M", "G", "T" ];
var cumulative_y = []; // For stacked series.
var datasets = [];
+ var extremes = {}; // series name -> [low, high]
+
// Loop over all fields and create datasets
for (var i = data[0].length - 1; i >= 1; i--) {
if (!this.visibility()[i - 1]) continue;
+ var seriesName = this.attr_("labels")[i];
var connectSeparatedPoints = this.attr_('connectSeparatedPoints', i);
var series = [];
this.boundaryIds_[i-1] = [0, series.length-1];
}
- var extremes = this.extremeValues_(series);
- var thisMinY = extremes[0];
- var thisMaxY = extremes[1];
+ var seriesExtremes = this.extremeValues_(series);
+ extremes[seriesName] = seriesExtremes;
+ var thisMinY = seriesExtremes[0];
+ var thisMaxY = seriesExtremes[1];
if (minY === null || thisMinY < minY) minY = thisMinY;
if (maxY === null || thisMaxY > maxY) maxY = thisMaxY;
this.layout_.addDataset(this.attr_("labels")[i], datasets[i]);
}
- // Use some heuristics to come up with a good maxY value, unless it's been
- // set explicitly by the user.
- if (this.valueRange_ != null) {
- this.addYTicks_(this.valueRange_[0], this.valueRange_[1]);
- this.displayedYRange_ = this.valueRange_;
- } else {
- // This affects the calculation of span, below.
- if (this.attr_("includeZero") && minY > 0) {
- minY = 0;
- }
-
- // Add some padding and round up to an integer to be human-friendly.
- var span = maxY - minY;
- // special case: if we have no sense of scale, use +/-10% of the sole value.
- if (span == 0) { span = maxY; }
- var maxAxisY = maxY + 0.1 * span;
- var minAxisY = minY - 0.1 * span;
-
- // Try to include zero and make it minAxisY (or maxAxisY) if it makes sense.
- if (minAxisY < 0 && minY >= 0) minAxisY = 0;
- if (maxAxisY > 0 && maxY <= 0) maxAxisY = 0;
-
- if (this.attr_("includeZero")) {
- if (maxY < 0) maxAxisY = 0;
- if (minY > 0) minAxisY = 0;
- }
-
- this.addYTicks_(minAxisY, maxAxisY);
- this.displayedYRange_ = [minAxisY, maxAxisY];
- }
+ var out = this.computeYaxes_(extremes);
+ var axes = out[0];
+ var seriesToAxisMap = out[1];
+ this.displayedYRange_ = axes[0].valueRange;
+ this.layout_.updateOptions( { yAxis: axes[0].valueRange,
+ yTicks: axes[0].ticks } );
this.addXTicks_();
};
/**
+ * Determine all y-axes.
+ * Inputs: mapping from seriesName -> [low, high] for that series,
+ * (implicit) per-series axis attributes.
+ * Returns [ axes, seriesToAxisMap ]
+ * axes = [ { valueRange: [low, high], otherOptions: ..., ticks: [...] } ]
+ * seriesToAxisMap = { seriesName: 0, seriesName2: 1, ... }
+ * indices are into the axes array.
+ */
+Dygraph.prototype.computeYaxes_ = function(extremes) {
+ var axes = [{}]; // always have at least one y-axis.
+ var seriesToAxisMap = {};
+ var seriesForAxis = [[]];
+
+ // all options which could be applied per-axis:
+ var axisOptions = [
+ 'includeZero',
+ 'valueRange',
+ 'labelsKMB',
+ 'labelsKMG2',
+ 'pixelsPerYLabel',
+ 'yAxisLabelWidth',
+ 'axisLabelFontSize',
+ 'axisTickSize'
+ ];
+
+ // Copy global axis options over to the first axis.
+ for (var i = 0; i < axisOptions.length; i++) {
+ var k = axisOptions[i];
+ var v = this.attr_(k);
+ if (v) axes[0][k] = v;
+ }
+
+ // Go through once and add all the axes.
+ for (var seriesName in extremes) {
+ if (!extremes.hasOwnProperty(seriesName)) continue;
+ var axis = this.attr_("axis", seriesName);
+ if (axis == null) {
+ seriesToAxisMap[seriesName] = 0;
+ seriesForAxis[0].push(seriesName);
+ continue;
+ }
+ if (typeof(axis) == 'object') {
+ // Add a new axis, making a copy of its per-axis options.
+ var opts = {};
+ Dygraph.update(opts, axes[0]);
+ Dygraph.update(opts, { valueRange: null }); // shouldn't inherit this.
+ Dygraph.update(opts, axis);
+ axes.push(opts);
+ seriesToAxisMap[seriesName] = axes.length - 1;
+ seriesForAxis.push([seriesName]);
+ }
+ }
+
+ // Go through one more time and assign series to an axis defined by another
+ // series, e.g. { 'Y1: { axis: {} }, 'Y2': { axis: 'Y1' } }
+ for (var seriesName in extremes) {
+ if (!extremes.hasOwnProperty(seriesName)) continue;
+ var axis = this.attr_("axis", seriesName);
+ if (typeof(axis) == 'string') {
+ if (!seriesToAxisMap.hasOwnProperty(axis)) {
+ this.error("Series " + seriesName + " wants to share a y-axis with " +
+ "series " + axis + ", which does not define its own axis.");
+ return null;
+ }
+ var idx = seriesToAxisMap[axis];
+ seriesToAxisMap[seriesName] = idx;
+ seriesForAxis[idx].push(seriesName);
+ }
+ }
+
+ // Compute extreme values, a span and tick marks for each axis.
+ for (var i = 0; i < axes.length; i++) {
+ var axis = axes[i];
+ if (!axis.valueRange) {
+ // Calcuate the extremes of extremes.
+ var series = seriesForAxis[i];
+ var minY = Infinity; // extremes[series[0]][0];
+ var maxY = -Infinity; // extremes[series[0]][1];
+ for (var j = 0; j < series.length; j++) {
+ minY = Math.min(extremes[series[j]][0], minY);
+ maxY = Math.max(extremes[series[j]][1], maxY);
+ }
+ if (axis.includeZero && minY > 0) minY = 0;
+
+ // Add some padding and round up to an integer to be human-friendly.
+ var span = maxY - minY;
+ // special case: if we have no sense of scale, use +/-10% of the sole value.
+ if (span == 0) { span = maxY; }
+ var maxAxisY = maxY + 0.1 * span;
+ var minAxisY = minY - 0.1 * span;
+
+ // Try to include zero and make it minAxisY (or maxAxisY) if it makes sense.
+ if (minAxisY < 0 && minY >= 0) minAxisY = 0;
+ if (maxAxisY > 0 && maxY <= 0) maxAxisY = 0;
+
+ if (this.attr_("includeZero")) {
+ if (maxY < 0) maxAxisY = 0;
+ if (minY > 0) minAxisY = 0;
+ }
+
+ axis.valueRange = [minAxisY, maxAxisY];
+ }
+
+ // Add ticks.
+ axis.ticks =
+ Dygraph.numericTicks(axis.valueRange[0],
+ axis.valueRange[1],
+ this,
+ function(self, axis) {
+ return function(a) {
+ if (axis.hasOwnProperty(a)) return axis[a];
+ return self.attr_(a);
+ };
+ }(this, axis));
+ }
+
+ return [axes, seriesToAxisMap];
+};
+
+/**
* Calculates the rolling average of a data set.
* If originalData is [label, val], rolls the average of those.
* If originalData is [label, [, it's interpreted as [value, stddev]
if (attrs.dateWindow) {
this.dateWindow_ = attrs.dateWindow;
}
- if (attrs.valueRange) {
- this.valueRange_ = attrs.valueRange;
- }
// TODO(danvk): validate per-series options.
// Supported:
projects / dygraphs.git / blobdiff