*/
+/*jshint globalstrict: true */
+/*global DygraphRangeSelector:false, DygraphLayout:false, DygraphCanvasRenderer:false, G_vmlCanvasManager:false */
"use strict";
/**
return date.strftime('%b %y');
} else {
var frac = date.getHours() * 3600 + date.getMinutes() * 60 + date.getSeconds() + date.getMilliseconds();
- if (frac == 0 || granularity >= Dygraph.DAILY) {
+ if (frac === 0 || granularity >= Dygraph.DAILY) {
return new Date(date.getTime() + 3600*1000).strftime('%d%b');
} else {
return Dygraph.hmsString_(date.getTime());
// Labels is no longer a constructor parameter, since it's typically set
// directly from the data source. It also conains a name for the x-axis,
// which the previous constructor form did not.
- if (labels != null) {
+ if (labels !== null) {
var new_labels = ["Date"];
for (var i = 0; i < labels.length; i++) new_labels.push(labels[i]);
Dygraph.update(attrs, { 'labels': new_labels });
typeof(G_vmlCanvasManager) != 'undefined' &&
document.readyState != 'complete') {
var self = this;
- setTimeout(function() { self.__init__(div, file, attrs) }, 100);
+ setTimeout(function() { self.__init__(div, file, attrs); }, 100);
return;
}
// Support two-argument constructor
- if (attrs == null) { attrs = {}; }
+ if (attrs === null || attrs === undefined) { attrs = {}; }
attrs = Dygraph.mapLegacyOptions_(attrs);
this.fractions_ = attrs.fractions || false;
this.dateWindow_ = attrs.dateWindow || null;
- this.wilsonInterval_ = attrs.wilsonInterval || true;
this.is_initial_draw_ = true;
this.annotations_ = [];
// rules _except_ for an explicit 'width' or 'height' on the div.
// As an added convenience, if the div has zero height (like <div></div> does
// without any styles), then we use a default height/width.
- if (div.style.width == '' && attrs.width) {
+ if (div.style.width === '' && attrs.width) {
div.style.width = attrs.width + "px";
}
- if (div.style.height == '' && attrs.height) {
+ if (div.style.height === '' && attrs.height) {
div.style.height = attrs.height + "px";
}
- if (div.style.height == '' && div.clientHeight == 0) {
+ if (div.style.height === '' && div.clientHeight === 0) {
div.style.height = Dygraph.DEFAULT_HEIGHT + "px";
- if (div.style.width == '') {
+ if (div.style.width === '') {
div.style.width = Dygraph.DEFAULT_WIDTH + "px";
}
}
this.height_ = div.clientHeight;
// TODO(danvk): set fillGraph to be part of attrs_ here, not user_attrs_.
- if (attrs['stackedGraph']) {
- attrs['fillGraph'] = true;
+ if (attrs.stackedGraph) {
+ attrs.fillGraph = true;
// TODO(nikhilk): Add any other stackedGraph checks here.
}
Dygraph.updateDeep(this.attrs_, Dygraph.DEFAULT_ATTRS);
this.boundaryIds_ = [];
+ this.setIndexByName_ = {};
// Create the containing DIV and other interactive elements
this.createInterface_();
*/
Dygraph.prototype.isZoomed = function(axis) {
if (axis == null) return this.zoomed_x_ || this.zoomed_y_;
- if (axis == 'x') return this.zoomed_x_;
- if (axis == 'y') return this.zoomed_y_;
- throw "axis parameter to Dygraph.isZoomed must be missing, 'x' or 'y'.";
+ if (axis === 'x') return this.zoomed_x_;
+ if (axis === 'y') return this.zoomed_y_;
+ throw "axis parameter is [" + axis + "] must be null, 'x' or 'y'.";
};
/**
*/
Dygraph.prototype.toString = function() {
var maindiv = this.maindiv_;
- var id = (maindiv && maindiv.id) ? maindiv.id : maindiv
+ var id = (maindiv && maindiv.id) ? maindiv.id : maindiv;
return "[Dygraph " + id + "]";
-}
+};
/**
* @private
// </REMOVE_FOR_COMBINED>
if (seriesName &&
typeof(this.user_attrs_[seriesName]) != 'undefined' &&
- this.user_attrs_[seriesName] != null &&
+ 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') {
Dygraph.prototype.optionsViewForAxis_ = function(axis) {
var self = this;
return function(opt) {
- var axis_opts = self.user_attrs_['axes'];
+ var axis_opts = self.user_attrs_.axes;
if (axis_opts && axis_opts[axis] && axis_opts[axis][opt]) {
return axis_opts[axis][opt];
}
return self.user_attrs_[opt];
}
- axis_opts = self.attrs_['axes'];
+ axis_opts = self.attrs_.axes;
if (axis_opts && axis_opts[axis] && axis_opts[axis][opt]) {
return axis_opts[axis][opt];
}
* Returns a single value or null if x is null.
*/
Dygraph.prototype.toDomXCoord = function(x) {
- if (x == null) {
+ if (x === null) {
return null;
- };
+ }
var area = this.plotter_.area;
var xRange = this.xAxisRange();
return area.x + (x - xRange[0]) / (xRange[1] - xRange[0]) * area.w;
-}
+};
/**
* Convert from data x coordinates to canvas/div Y coordinate and optional
Dygraph.prototype.toDomYCoord = function(y, axis) {
var pct = this.toPercentYCoord(y, axis);
- if (pct == null) {
+ if (pct === null) {
return null;
}
var area = this.plotter_.area;
return area.y + pct * area.h;
-}
+};
/**
* Convert from canvas/div coords to data coordinates.
* If x is null, this returns null.
*/
Dygraph.prototype.toDataXCoord = function(x) {
- if (x == null) {
+ if (x === null) {
return null;
}
* if axis is null, this uses the first axis.
*/
Dygraph.prototype.toDataYCoord = function(y, axis) {
- if (y == null) {
+ if (y === null) {
return null;
}
return yRange[0] + (area.y + area.h - y) / area.h * (yRange[1] - yRange[0]);
} else {
// Computing the inverse of toDomCoord.
- var pct = (y - area.y) / area.h
+ var pct = (y - area.y) / area.h;
// Computing the inverse of toPercentYCoord. The function was arrived at with
// the following steps:
* @return { Number } A fraction in [0, 1] where 0 = the top edge.
*/
Dygraph.prototype.toPercentYCoord = function(y, axis) {
- if (y == null) {
+ if (y === null) {
return null;
}
if (typeof(axis) == "undefined") axis = 0;
- var area = this.plotter_.area;
var yRange = this.yAxisRange(axis);
var pct;
pct = (logr1 - Dygraph.log10(y)) / (logr1 - Dygraph.log10(yRange[0]));
}
return pct;
-}
+};
/**
* Converts an x value to a percentage from the left to the right of
* @return { Number } A fraction in [0, 1] where 0 = the left edge.
*/
Dygraph.prototype.toPercentXCoord = function(x) {
- if (x == null) {
+ if (x === null) {
return null;
}
* @return { Integer } The number of columns.
*/
Dygraph.prototype.numColumns = function() {
- return this.rawData_[0].length;
+ return this.rawData_[0] ? this.rawData_[0].length : this.attr_("labels").length;
};
/**
};
/**
+ * Returns the full range of the x-axis, as determined by the most extreme
+ * values in the data set. Not affected by zooming, visibility, etc.
+ * TODO(danvk): merge w/ xAxisExtremes
+ * @return { Array<Number> } A [low, high] pair
+ * @private
+ */
+Dygraph.prototype.fullXRange_ = function() {
+ if (this.numRows() > 0) {
+ return [this.rawData_[0][0], this.rawData_[this.numRows() - 1][0]];
+ } else {
+ return [0, 1];
+ }
+};
+
+/**
* Returns the value in the given row and column. If the row and column exceed
* the bounds on the data, returns null. Also returns null if the value is
* missing.
this.rangeSelector_.addToGraph(this.graphDiv, this.layout_);
}
- // Create the grapher
- this.layout_ = new DygraphLayout(this);
-
- if (this.rangeSelector_) {
- // This needs to happen after the graph canvases are added to the div and the layout object is created.
- this.rangeSelector_.addToGraph(this.graphDiv, this.layout_);
- }
-
var dygraph = this;
Dygraph.addEvent(this.mouseEventElement_, 'mousemove', function(e) {
dygraph.mouseMove_(e);
this.createStatusMessage_();
this.createDragInterface_();
+ this.resizeHandler = function(e) {
+ dygraph.resize();
+ }
+
// Update when the window is resized.
// TODO(danvk): drop frames depending on complexity of the chart.
- Dygraph.addEvent(window, 'resize', function(e) {
- dygraph.resize();
- });
+ Dygraph.addEvent(window, 'resize', this.resizeHandler);
};
/**
}
}
};
-
+ // remove event handlers
+ Dygraph.removeEvent(window,'resize',this.resizeHandler);
+ this.resizeHandler = null;
// These may not all be necessary, but it can't hurt...
nullOut(this.layout_);
nullOut(this.plotter_);
var num = this.attr_("labels").length - 1;
this.colors_ = [];
var colors = this.attr_('colors');
+ var i;
if (!colors) {
var sat = this.attr_('colorSaturation') || 1.0;
var val = this.attr_('colorValue') || 0.5;
var half = Math.ceil(num / 2);
- for (var i = 1; i <= num; i++) {
+ for (i = 1; i <= num; i++) {
if (!this.visibility()[i-1]) continue;
// alternate colors for high contrast.
var idx = i % 2 ? Math.ceil(i / 2) : (half + i / 2);
this.colors_.push(Dygraph.hsvToRGB(hue, sat, val));
}
} else {
- for (var i = 0; i < num; i++) {
+ for (i = 0; i < num; i++) {
if (!this.visibility()[i]) continue;
var colorStr = colors[i % colors.length];
this.colors_.push(colorStr);
* @private
*/
Dygraph.prototype.createStatusMessage_ = function() {
- var userLabelsDiv = this.user_attrs_["labelsDiv"];
- if (userLabelsDiv && null != userLabelsDiv
- && (typeof(userLabelsDiv) == "string" || userLabelsDiv instanceof String)) {
- this.user_attrs_["labelsDiv"] = document.getElementById(userLabelsDiv);
+ var userLabelsDiv = this.user_attrs_.labelsDiv;
+ if (userLabelsDiv && null !== userLabelsDiv &&
+ (typeof(userLabelsDiv) == "string" || userLabelsDiv instanceof String)) {
+ this.user_attrs_.labelsDiv = document.getElementById(userLabelsDiv);
}
if (!this.attr_("labelsDiv")) {
var divWidth = this.attr_('labelsDivWidth');
* canvas (i.e. DOM Coords).
*/
Dygraph.prototype.dragGetX_ = function(e, context) {
- return Dygraph.pageX(e) - context.px
+ return Dygraph.pageX(e) - context.px;
};
/**
* canvas (i.e. DOM Coords).
*/
Dygraph.prototype.dragGetY_ = function(e, context) {
- return Dygraph.pageY(e) - context.py
+ return Dygraph.pageY(e) - context.py;
};
/**
this.doAnimatedZoom(null, null, oldValueRanges, newValueRanges, function() {
if (that.attr_("zoomCallback")) {
var xRange = that.xAxisRange();
- var yRange = that.yAxisRange();
that.attr_("zoomCallback")(xRange[0], xRange[1], that.yAxisRanges());
}
});
*/
Dygraph.prototype.doUnzoom_ = function() {
var dirty = false, dirtyX = false, dirtyY = false;
- if (this.dateWindow_ != null) {
+ if (this.dateWindow_ !== null) {
dirty = true;
dirtyX = true;
}
for (var i = 0; i < this.axes_.length; i++) {
- if (this.axes_[i].valueWindow != null) {
+ if (typeof(this.axes_[i].valueWindow) !== 'undefined' && this.axes_[i].valueWindow !== null) {
dirty = true;
dirtyY = true;
}
// TODO(danvk): merge this block w/ the code below.
if (!this.attr_("animatedZooms")) {
this.dateWindow_ = null;
- for (var i = 0; i < this.axes_.length; i++) {
- if (this.axes_[i].valueWindow != null) {
+ for (i = 0; i < this.axes_.length; i++) {
+ if (this.axes_[i].valueWindow !== null) {
delete this.axes_[i].valueWindow;
}
}
this.computeYAxisRanges_(extremes);
newValueRanges = [];
- for (var i = 0; i < this.axes_.length; i++) {
- newValueRanges.push(this.axes_[i].extremeRange);
+ for (i = 0; i < this.axes_.length; i++) {
+ var axis = this.axes_[i];
+ newValueRanges.push(axis.valueRange != null ? axis.valueRange : axis.extremeRange);
}
}
function() {
that.dateWindow_ = null;
for (var i = 0; i < that.axes_.length; i++) {
- if (that.axes_[i].valueWindow != null) {
+ if (that.axes_[i].valueWindow !== null) {
delete that.axes_[i].valueWindow;
}
}
var windows = [];
var valueRanges = [];
+ var step, frac;
- if (oldXRange != null && newXRange != null) {
- for (var step = 1; step <= steps; step++) {
- var frac = Dygraph.zoomAnimationFunction(step, steps);
+ if (oldXRange !== null && newXRange !== null) {
+ for (step = 1; step <= steps; step++) {
+ frac = Dygraph.zoomAnimationFunction(step, steps);
windows[step-1] = [oldXRange[0]*(1-frac) + frac*newXRange[0],
oldXRange[1]*(1-frac) + frac*newXRange[1]];
}
}
- if (oldYRanges != null && newYRanges != null) {
- for (var step = 1; step <= steps; step++) {
- var frac = Dygraph.zoomAnimationFunction(step, steps);
+ if (oldYRanges !== null && newYRanges !== null) {
+ for (step = 1; step <= steps; step++) {
+ frac = Dygraph.zoomAnimationFunction(step, steps);
var thisRange = [];
for (var j = 0; j < this.axes_.length; j++) {
thisRange.push([oldYRanges[j][0]*(1-frac) + frac*newYRanges[j][0],
var canvasx = Dygraph.pageX(event) - Dygraph.findPosX(this.mouseEventElement_);
var lastx = -1;
- var lasty = -1;
+ var i;
// Loop through all the points and find the date nearest to our current
// location.
var minDist = 1e+100;
var idx = -1;
- for (var i = 0; i < points.length; i++) {
+ for (i = 0; i < points.length; i++) {
var point = points[i];
- if (point == null) continue;
+ if (point === null) continue;
var dist = Math.abs(point.canvasx - canvasx);
if (dist > minDist) continue;
minDist = dist;
this.selPoints_ = [];
var l = points.length;
if (!this.attr_("stackedGraph")) {
- for (var i = 0; i < l; i++) {
+ for (i = 0; i < l; i++) {
if (points[i].xval == lastx) {
this.selPoints_.push(points[i]);
}
} else {
// Need to 'unstack' points starting from the bottom
var cumulative_sum = 0;
- for (var i = l - 1; i >= 0; i--) {
+ for (i = l - 1; i >= 0; i--) {
if (points[i].xval == lastx) {
var p = {}; // Clone the point since we modify it
for (var k in points[i]) {
Dygraph.prototype.idxToRow_ = function(idx) {
if (idx < 0) return -1;
- for (var i in this.layout_.datasets) {
- if (idx < this.layout_.datasets[i].length) {
- return this.boundaryIds_[0][0]+idx;
+ // make sure that you get the boundaryIds record which is also defined (see bug #236)
+ var boundaryIdx = -1;
+ for (var i = 0; i < this.boundaryIds_.length; i++) {
+ if (this.boundaryIds_[i] !== undefined) {
+ boundaryIdx = i;
+ break;
}
- idx -= this.layout_.datasets[i].length;
+ }
+ if (boundaryIdx < 0) return -1;
+ for (var setIdx = 0; setIdx < this.layout_.datasets.length; ++setIdx) {
+ var set = this.layout_.datasets[setIdx];
+ if (idx < set.length) {
+ return this.boundaryIds_[boundaryIdx][0] + idx;
+ }
+ idx -= set.length;
}
return -1;
};
/**
* @private
+ * Generates legend html dash for any stroke pattern. It will try to scale the
+ * pattern to fit in 1em width. Or if small enough repeat the partern for 1em
+ * width.
+ * @param strokePattern The pattern
+ * @param color The color of the series.
+ * @param oneEmWidth The width in pixels of 1em in the legend.
+ */
+Dygraph.prototype.generateLegendDashHTML_ = function(strokePattern, color, oneEmWidth) {
+ var dash = "";
+ var i, j, paddingLeft, marginRight;
+ var strokePixelLength = 0, segmentLoop = 0;
+ var normalizedPattern = [];
+ var loop;
+ // IE 7,8 fail at these divs, so they get boring legend, have not tested 9.
+ var isIE = (/MSIE/.test(navigator.userAgent) && !window.opera);
+ if(isIE) {
+ return "—";
+ }
+ if (!strokePattern || strokePattern.length <= 1) {
+ // Solid line
+ dash = "<div style=\"display: inline-block; position: relative; " +
+ "bottom: .5ex; padding-left: 1em; height: 1px; " +
+ "border-bottom: 2px solid " + color + ";\"></div>";
+ } else {
+ // Compute the length of the pixels including the first segment twice,
+ // since we repeat it.
+ for (i = 0; i <= strokePattern.length; i++) {
+ strokePixelLength += strokePattern[i%strokePattern.length];
+ }
+
+ // See if we can loop the pattern by itself at least twice.
+ loop = Math.floor(oneEmWidth/(strokePixelLength-strokePattern[0]));
+ if (loop > 1) {
+ // This pattern fits at least two times, no scaling just convert to em;
+ for (i = 0; i < strokePattern.length; i++) {
+ normalizedPattern[i] = strokePattern[i]/oneEmWidth;
+ }
+ // Since we are repeating the pattern, we don't worry about repeating the
+ // first segment in one draw.
+ segmentLoop = normalizedPattern.length;
+ } else {
+ // If the pattern doesn't fit in the legend we scale it to fit.
+ loop = 1;
+ for (i = 0; i < strokePattern.length; i++) {
+ normalizedPattern[i] = strokePattern[i]/strokePixelLength;
+ }
+ // For the scaled patterns we do redraw the first segment.
+ segmentLoop = normalizedPattern.length+1;
+ }
+ // Now make the pattern.
+ for (j = 0; j < loop; j++) {
+ for (i = 0; i < segmentLoop; i+=2) {
+ // The padding is the drawn segment.
+ paddingLeft = normalizedPattern[i%normalizedPattern.length];
+ if (i < strokePattern.length) {
+ // The margin is the space segment.
+ marginRight = normalizedPattern[(i+1)%normalizedPattern.length];
+ } else {
+ // The repeated first segment has no right margin.
+ marginRight = 0;
+ }
+ dash += "<div style=\"display: inline-block; position: relative; " +
+ "bottom: .5ex; margin-right: " + marginRight + "em; padding-left: " +
+ paddingLeft + "em; height: 1px; border-bottom: 2px solid " + color +
+ ";\"></div>";
+ }
+ }
+ }
+ return dash;
+};
+
+/**
+ * @private
* Generates HTML for the legend which is displayed when hovering over the
* chart. If no selected points are specified, a default legend is returned
* (this may just be the empty string).
* @param { Number } [x] The x-value of the selected points.
* @param { [Object] } [sel_points] List of selected points for the given
* x-value. Should have properties like 'name', 'yval' and 'canvasy'.
+ * @param { Number } [oneEmWidth] The pixel width for 1em in the legend.
*/
-Dygraph.prototype.generateLegendHTML_ = function(x, sel_points) {
+Dygraph.prototype.generateLegendHTML_ = function(x, sel_points, oneEmWidth) {
// If no points are selected, we display a default legend. Traditionally,
// this has been blank. But a better default would be a conventional legend,
// which provides essential information for a non-interactive chart.
+ var html, sepLines, i, c, dash, strokePattern;
if (typeof(x) === 'undefined') {
if (this.attr_('legend') != 'always') return '';
- var sepLines = this.attr_('labelsSeparateLines');
+ sepLines = this.attr_('labelsSeparateLines');
var labels = this.attr_('labels');
- var html = '';
- for (var i = 1; i < labels.length; i++) {
+ html = '';
+ for (i = 1; i < labels.length; i++) {
if (!this.visibility()[i - 1]) continue;
- var c = this.plotter_.colors[labels[i]];
- if (html != '') html += (sepLines ? '<br/>' : ' ');
- html += "<b><span style='color: " + c + ";'>—" + labels[i] +
- "</span></b>";
+ c = this.plotter_.colors[labels[i]];
+ if (html !== '') html += (sepLines ? '<br/>' : ' ');
+ strokePattern = this.attr_("strokePattern", labels[i]);
+ dash = this.generateLegendDashHTML_(strokePattern, c, oneEmWidth);
+ html += "<span style='font-weight: bold; color: " + c + ";'>" + dash +
+ " " + labels[i] + "</span>";
}
return html;
}
var xOptView = this.optionsViewForAxis_('x');
var xvf = xOptView('valueFormatter');
- var html = xvf(x, xOptView, this.attr_('labels')[0], this) + ":";
+ html = xvf(x, xOptView, this.attr_('labels')[0], this) + ":";
var yOptViews = [];
var num_axes = this.numAxes();
- for (var i = 0; i < num_axes; i++) {
+ for (i = 0; i < num_axes; i++) {
yOptViews[i] = this.optionsViewForAxis_('y' + (i ? 1 + i : ''));
}
var showZeros = this.attr_("labelsShowZeroValues");
- var sepLines = this.attr_("labelsSeparateLines");
- for (var i = 0; i < this.selPoints_.length; i++) {
+ sepLines = this.attr_("labelsSeparateLines");
+ for (i = 0; i < this.selPoints_.length; i++) {
var pt = this.selPoints_[i];
- if (pt.yval == 0 && !showZeros) continue;
+ if (pt.yval === 0 && !showZeros) continue;
if (!Dygraph.isOK(pt.canvasy)) continue;
if (sepLines) html += "<br/>";
var yOptView = yOptViews[this.seriesToAxisMap_[pt.name]];
var fmtFunc = yOptView('valueFormatter');
- var c = this.plotter_.colors[pt.name];
+ c = this.plotter_.colors[pt.name];
var yval = fmtFunc(pt.yval, yOptView, pt.name, this);
// TODO(danvk): use a template string here and make it an attribute.
- html += " <b><span style='color: " + c + ";'>"
- + pt.name + "</span></b>:"
- + yval;
+ html += " <b><span style='color: " + c + ";'>" + pt.name +
+ "</span></b>:" + yval;
}
return html;
};
* x-value. Should have properties like 'name', 'yval' and 'canvasy'.
*/
Dygraph.prototype.setLegendHTML_ = function(x, sel_points) {
- var html = this.generateLegendHTML_(x, sel_points);
var labelsDiv = this.attr_("labelsDiv");
+ var sizeSpan = document.createElement('span');
+ // Calculates the width of 1em in pixels for the legend.
+ sizeSpan.setAttribute('style', 'margin: 0; padding: 0 0 0 1em; border: 0;');
+ labelsDiv.appendChild(sizeSpan);
+ var oneEmWidth=sizeSpan.offsetWidth;
+
+ var html = this.generateLegendHTML_(x, sel_points, oneEmWidth);
if (labelsDiv !== null) {
labelsDiv.innerHTML = html;
} else {
*/
Dygraph.prototype.updateSelection_ = function() {
// Clear the previously drawn vertical, if there is one
+ var i;
var ctx = this.canvas_ctx_;
if (this.previousVerticalX_ >= 0) {
// Determine the maximum highlight circle size.
var maxCircleSize = 0;
var labels = this.attr_('labels');
- for (var i = 1; i < labels.length; i++) {
+ for (i = 1; i < labels.length; i++) {
var r = this.attr_('highlightCircleSize', labels[i]);
if (r > maxCircleSize) maxCircleSize = r;
}
// Draw colored circles over the center of each selected point
var canvasx = this.selPoints_[0].canvasx;
ctx.save();
- for (var i = 0; i < this.selPoints_.length; i++) {
+ for (i = 0; i < this.selPoints_.length; i++) {
var pt = this.selPoints_[i];
if (!Dygraph.isOK(pt.canvasy)) continue;
}
if (row !== false && row >= 0) {
- for (var i in this.layout_.datasets) {
- if (row < this.layout_.datasets[i].length) {
+ for (var setIdx = 0; setIdx < this.layout_.datasets.length; ++setIdx) {
+ var set = this.layout_.datasets[setIdx];
+ if (row < set.length) {
var point = this.layout_.points[pos+row];
if (this.attr_("stackedGraph")) {
this.selPoints_.push(point);
}
- pos += this.layout_.datasets[i].length;
+ pos += set.length;
}
}
this.setLegendHTML_();
this.selPoints_ = [];
this.lastx_ = -1;
-}
+};
/**
* Returns the number of the currently selected row. To get data for this row,
if (this.dateWindow_) {
range = [this.dateWindow_[0], this.dateWindow_[1]];
} else {
- range = [this.rawData_[0][0], this.rawData_[this.rawData_.length - 1][0]];
+ range = this.fullXRange_();
}
var xAxisOptionsView = this.optionsViewForAxis_('x');
* @return [low, high]
*/
Dygraph.prototype.extremeValues_ = function(series) {
- var minY = null, maxY = null;
+ var minY = null, maxY = null, j, y;
var bars = this.attr_("errorBars") || this.attr_("customBars");
if (bars) {
// With custom bars, maxY is the max of the high values.
- for (var j = 0; j < series.length; j++) {
- var y = series[j][1][0];
+ for (j = 0; j < series.length; j++) {
+ y = series[j][1][0];
if (!y) continue;
var low = y - series[j][1][1];
var high = y + series[j][1][2];
if (low > y) low = y; // this can happen with custom bars,
if (high < y) high = y; // e.g. in tests/custom-bars.html
- if (maxY == null || high > maxY) {
+ if (maxY === null || high > maxY) {
maxY = high;
}
- if (minY == null || low < minY) {
+ if (minY === null || low < minY) {
minY = low;
}
}
} else {
- for (var j = 0; j < series.length; j++) {
- var y = series[j][1];
+ for (j = 0; j < series.length; j++) {
+ y = series[j][1];
if (y === null || isNaN(y)) continue;
- if (maxY == null || y > maxY) {
+ if (maxY === null || y > maxY) {
maxY = y;
}
- if (minY == null || y < minY) {
+ if (minY === null || y < minY) {
minY = y;
}
}
// Convert the raw data (a 2D array) into the internal format and compute
// rolling averages.
this.rolledSeries_ = [null]; // x-axis is the first series and it's special
- for (var i = 1; i < this.rawData_[0].length; i++) {
+ for (var i = 1; i < this.numColumns(); i++) {
var connectSeparatedPoints = this.attr_('connectSeparatedPoints', i);
var logScale = this.attr_('logscale', i);
var series = this.extractSeries_(this.rawData_, i, logScale, connectSeparatedPoints);
var cumulative_y = []; // For stacked series.
var datasets = [];
var extremes = {}; // series name -> [low, high]
+ var i, j, k;
// Loop over the fields (series). Go from the last to the first,
// because if they're stacked that's how we accumulate the values.
var num_series = rolledSeries.length - 1;
- for (var i = num_series; i >= 1; i--) {
+ for (i = num_series; i >= 1; i--) {
if (!this.visibility()[i - 1]) continue;
// TODO(danvk): is this copy really necessary?
var series = [];
- for (var j = 0; j < rolledSeries[i].length; j++) {
+ for (j = 0; j < rolledSeries[i].length; j++) {
series.push(rolledSeries[i][j]);
}
// TODO(danvk): do binary search instead of linear search.
// TODO(danvk): pass firstIdx and lastIdx directly to the renderer.
var firstIdx = null, lastIdx = null;
- for (var k = 0; k < series.length; k++) {
+ for (k = 0; k < series.length; k++) {
if (series[k][0] >= low && firstIdx === null) {
firstIdx = k;
}
if (lastIdx === null) lastIdx = series.length - 1;
if (lastIdx < series.length - 1) lastIdx++;
boundaryIds[i-1] = [firstIdx, lastIdx];
- for (var k = firstIdx; k <= lastIdx; k++) {
+ for (k = firstIdx; k <= lastIdx; k++) {
pruned.push(series[k]);
}
series = pruned;
var seriesExtremes = this.extremeValues_(series);
if (bars) {
- for (var j=0; j<series.length; j++) {
+ for (j=0; j<series.length; j++) {
series[j] = [series[j][0],
series[j][1][0],
series[j][1][1],
} else if (this.attr_("stackedGraph")) {
var l = series.length;
var actual_y;
- for (var j = 0; j < l; j++) {
+ for (j = 0; j < l; j++) {
// If one data set has a NaN, let all subsequent stacked
// sets inherit the NaN -- only start at 0 for the first set.
var x = series[j][0];
actual_y = series[j][1];
cumulative_y[x] += actual_y;
- series[j] = [x, cumulative_y[x]]
+ series[j] = [x, cumulative_y[x]];
if (cumulative_y[x] > seriesExtremes[1]) {
seriesExtremes[1] = cumulative_y[x];
var is_initial_draw = this.is_initial_draw_;
this.is_initial_draw_ = false;
- var minY = null, maxY = null;
this.layout_.removeAllDatasets();
this.setColors_();
- this.attrs_['pointSize'] = 0.5 * this.attr_('highlightCircleSize');
+ this.attrs_.pointSize = 0.5 * this.attr_('highlightCircleSize');
var packed = this.gatherDatasets_(this.rolledSeries_, this.dateWindow_);
var datasets = packed[0];
var extremes = packed[1];
this.boundaryIds_ = packed[2];
+ this.setIndexByName_ = {};
+ var labels = this.attr_("labels");
+ if (labels.length > 0) {
+ this.setIndexByName_[labels[0]] = 0;
+ }
for (var i = 1; i < datasets.length; i++) {
+ this.setIndexByName_[labels[i]] = i;
if (!this.visibility()[i - 1]) continue;
- this.layout_.addDataset(this.attr_("labels")[i], datasets[i]);
+ this.layout_.addDataset(labels[i], datasets[i]);
}
this.computeYAxisRanges_(extremes);
if (this.attr_("timingName")) {
var end = new Date();
if (console) {
- console.log(this.attr_("timingName") + " - drawGraph: " + (end - start) + "ms")
+ console.log(this.attr_("timingName") + " - drawGraph: " + (end - start) + "ms");
}
}
};
this.canvas_.getContext('2d').clearRect(0, 0, this.canvas_.width,
this.canvas_.height);
- if (is_initial_draw) {
- // Generate a static legend before any particular point is selected.
- this.setLegendHTML_();
- } else {
+ // Generate a static legend before any particular point is selected.
+ this.setLegendHTML_();
+
+ if (!is_initial_draw) {
if (clearSelection) {
if (typeof(this.selPoints_) !== 'undefined' && this.selPoints_.length) {
// We should select the point nearest the page x/y here, but it's easier
Dygraph.prototype.computeYAxes_ = function() {
// Preserve valueWindow settings if they exist, and if the user hasn't
// specified a new valueRange.
- var valueWindows;
- if (this.axes_ != undefined && this.user_attrs_.hasOwnProperty("valueRange") == false) {
+ var i, valueWindows, seriesName, axis, index, opts, v;
+ if (this.axes_ !== undefined && this.user_attrs_.hasOwnProperty("valueRange") === false) {
valueWindows = [];
- for (var index = 0; index < this.axes_.length; index++) {
+ for (index = 0; index < this.axes_.length; index++) {
valueWindows.push(this.axes_[index].valueWindow);
}
}
// Get a list of series names.
var labels = this.attr_("labels");
var series = {};
- for (var i = 1; i < labels.length; i++) series[labels[i]] = (i - 1);
+ for (i = 1; i < labels.length; i++) series[labels[i]] = (i - 1);
// all options which could be applied per-axis:
var axisOptions = [
];
// Copy global axis options over to the first axis.
- for (var i = 0; i < axisOptions.length; i++) {
+ for (i = 0; i < axisOptions.length; i++) {
var k = axisOptions[i];
- var v = this.attr_(k);
+ v = this.attr_(k);
if (v) this.axes_[0][k] = v;
}
// Go through once and add all the axes.
- for (var seriesName in series) {
+ for (seriesName in series) {
if (!series.hasOwnProperty(seriesName)) continue;
- var axis = this.attr_("axis", seriesName);
- if (axis == null) {
+ axis = this.attr_("axis", seriesName);
+ if (axis === null) {
this.seriesToAxisMap_[seriesName] = 0;
continue;
}
if (typeof(axis) == 'object') {
// Add a new axis, making a copy of its per-axis options.
- var opts = {};
+ opts = {};
Dygraph.update(opts, this.axes_[0]);
Dygraph.update(opts, { valueRange: null }); // shouldn't inherit this.
var yAxisId = this.axes_.length;
// 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 series) {
+ for (seriesName in series) {
if (!series.hasOwnProperty(seriesName)) continue;
- var axis = this.attr_("axis", seriesName);
+ axis = this.attr_("axis", seriesName);
if (typeof(axis) == 'string') {
if (!this.seriesToAxisMap_.hasOwnProperty(axis)) {
this.error("Series " + seriesName + " wants to share a y-axis with " +
}
}
- // Now we remove series from seriesToAxisMap_ which are not visible. We do
- // this last so that hiding the first series doesn't destroy the axis
- // properties of the primary axis.
- var seriesToAxisFiltered = {};
- var vis = this.visibility();
- for (var i = 1; i < labels.length; i++) {
- var s = labels[i];
- if (vis[i - 1]) seriesToAxisFiltered[s] = this.seriesToAxisMap_[s];
- }
- this.seriesToAxisMap_ = seriesToAxisFiltered;
-
- if (valueWindows != undefined) {
+ if (valueWindows !== undefined) {
// Restore valueWindow settings.
- for (var index = 0; index < valueWindows.length; index++) {
+ for (index = 0; index < valueWindows.length; index++) {
this.axes_[index].valueWindow = valueWindows[index];
}
}
+
+ // New axes options
+ for (axis = 0; axis < this.axes_.length; axis++) {
+ if (axis === 0) {
+ opts = this.optionsViewForAxis_('y' + (axis ? '2' : ''));
+ v = opts("valueRange");
+ if (v) this.axes_[axis].valueRange = v;
+ } else { // To keep old behavior
+ var axes = this.user_attrs_.axes;
+ if (axes && axes.y2) {
+ v = axes.y2.valueRange;
+ if (v) this.axes_[axis].valueRange = v;
+ }
+ }
+ }
+
};
/**
*/
Dygraph.prototype.computeYAxisRanges_ = function(extremes) {
// Build a map from axis number -> [list of series names]
- var seriesForAxis = [];
- for (var series in this.seriesToAxisMap_) {
+ var seriesForAxis = [], series;
+ for (series in this.seriesToAxisMap_) {
if (!this.seriesToAxisMap_.hasOwnProperty(series)) continue;
var idx = this.seriesToAxisMap_[series];
while (seriesForAxis.length <= idx) seriesForAxis.push([]);
axis.extremeRange = [0, 1];
} else {
// Calculate the extremes of extremes.
- var series = seriesForAxis[i];
+ series = seriesForAxis[i];
var minY = Infinity; // extremes[series[0]][0];
var maxY = -Infinity; // extremes[series[0]][1];
var extremeMinY, extremeMaxY;
+
for (var j = 0; j < series.length; j++) {
+ // this skips invisible series
+ if (!extremes.hasOwnProperty(series[j])) continue;
+
// Only use valid extremes to stop null data series' from corrupting the scale.
extremeMinY = extremes[series[j]][0];
- if (extremeMinY != null) {
+ if (extremeMinY !== null) {
minY = Math.min(extremeMinY, minY);
}
extremeMaxY = extremes[series[j]][1];
- if (extremeMaxY != null) {
+ if (extremeMaxY !== null) {
maxY = Math.max(extremeMaxY, maxY);
}
}
if (axis.includeZero && minY > 0) minY = 0;
- // Ensure we have a valid scale, otherwise defualt to zero for safety.
+ // Ensure we have a valid scale, otherwise default to [0, 1] for safety.
if (minY == Infinity) minY = 0;
- if (maxY == -Infinity) maxY = 0;
+ if (maxY == -Infinity) maxY = 1;
// 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; }
+ if (span === 0) { span = maxY; }
- var maxAxisY;
- var minAxisY;
+ var maxAxisY, minAxisY;
if (axis.logscale) {
- var maxAxisY = maxY + 0.1 * span;
- var minAxisY = minY;
+ maxAxisY = maxY + 0.1 * span;
+ minAxisY = minY;
} else {
- var maxAxisY = maxY + 0.1 * span;
- var minAxisY = minY - 0.1 * span;
+ maxAxisY = maxY + 0.1 * span;
+ minAxisY = minY - 0.1 * span;
// Try to include zero and make it minAxisY (or maxAxisY) if it makes sense.
if (!this.attr_("avoidMinZero")) {
// independent ticks, then that is permissible as well.
var opts = this.optionsViewForAxis_('y' + (i ? '2' : ''));
var ticker = opts('ticker');
- if (i == 0 || axis.independentTicks) {
+ if (i === 0 || axis.independentTicks) {
axis.ticks = ticker(axis.computedValueRange[0],
axis.computedValueRange[1],
this.height_, // TODO(danvk): should be area.height
}
series.push([x, point]);
} else {
- if (point != null || !connectSeparatedPoints) {
+ if (point !== null || !connectSeparatedPoints) {
series.push([x, point]);
}
}
Dygraph.prototype.rollingAverage = function(originalData, rollPeriod) {
if (originalData.length < 2)
return originalData;
- var rollPeriod = Math.min(rollPeriod, originalData.length);
+ rollPeriod = Math.min(rollPeriod, originalData.length);
var rollingData = [];
var sigma = this.attr_("sigma");
+ var low, high, i, j, y, sum, num_ok, stddev;
if (this.fractions_) {
var num = 0;
var den = 0; // numerator/denominator
var mult = 100.0;
- for (var i = 0; i < originalData.length; i++) {
+ for (i = 0; i < originalData.length; i++) {
num += originalData[i][1][0];
den += originalData[i][1][1];
if (i - rollPeriod >= 0) {
var date = originalData[i][0];
var value = den ? num / den : 0.0;
if (this.attr_("errorBars")) {
- if (this.wilsonInterval_) {
+ if (this.attr_("wilsonInterval")) {
// For more details on this confidence interval, see:
// http://en.wikipedia.org/wiki/Binomial_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;
- var low = (p + sigma * sigma / (2 * den) - pm) / denom;
- var high = (p + sigma * sigma / (2 * den) + pm) / denom;
+ low = (p + sigma * sigma / (2 * den) - pm) / denom;
+ high = (p + sigma * sigma / (2 * den) + pm) / denom;
rollingData[i] = [date,
[p * mult, (p - low) * mult, (high - p) * mult]];
} else {
rollingData[i] = [date, [0, 0, 0]];
}
} else {
- var stddev = den ? sigma * Math.sqrt(value * (1 - value) / den) : 1.0;
+ stddev = den ? sigma * Math.sqrt(value * (1 - value) / den) : 1.0;
rollingData[i] = [date, [mult * value, mult * stddev, mult * stddev]];
}
} else {
}
}
} else if (this.attr_("customBars")) {
- var low = 0;
+ low = 0;
var mid = 0;
- var high = 0;
+ high = 0;
var count = 0;
- for (var i = 0; i < originalData.length; i++) {
+ for (i = 0; i < originalData.length; i++) {
var data = originalData[i][1];
- var y = data[1];
+ y = data[1];
rollingData[i] = [originalData[i][0], [y, y - data[0], data[2] - y]];
- if (y != null && !isNaN(y)) {
+ if (y !== null && !isNaN(y)) {
low += data[0];
mid += y;
high += data[2];
}
if (i - rollPeriod >= 0) {
var prev = originalData[i - rollPeriod];
- if (prev[1][1] != null && !isNaN(prev[1][1])) {
+ if (prev[1][1] !== null && !isNaN(prev[1][1])) {
low -= prev[1][0];
mid -= prev[1][1];
high -= prev[1][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 points
- var num_init_points = Math.min(rollPeriod - 1, originalData.length - 2);
if (!this.attr_("errorBars")){
if (rollPeriod == 1) {
return originalData;
}
- for (var i = 0; i < originalData.length; i++) {
- var sum = 0;
- var num_ok = 0;
- for (var j = Math.max(0, i - rollPeriod + 1); j < i + 1; j++) {
- var y = originalData[j][1];
- if (y == null || isNaN(y)) continue;
+ 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];
}
}
} else {
- for (var i = 0; i < originalData.length; i++) {
- var sum = 0;
+ for (i = 0; i < originalData.length; i++) {
+ sum = 0;
var variance = 0;
- var num_ok = 0;
- for (var j = Math.max(0, i - rollPeriod + 1); j < i + 1; j++) {
- var y = originalData[j][1][0];
- if (y == null || isNaN(y)) continue;
+ num_ok = 0;
+ for (j = Math.max(0, i - rollPeriod + 1); j < i + 1; j++) {
+ y = originalData[j][1][0];
+ if (y === null || isNaN(y)) continue;
num_ok++;
sum += originalData[j][1][0];
variance += Math.pow(originalData[j][1][1], 2);
}
if (num_ok) {
- var stddev = Math.sqrt(variance) / num_ok;
+ stddev = Math.sqrt(variance) / num_ok;
rollingData[i] = [originalData[i][0],
[sum / num_ok, sigma * stddev, sigma * stddev]];
} else {
Dygraph.prototype.parseCSV_ = function(data) {
var ret = [];
var lines = data.split("\n");
+ var vals, j;
// Use the default delimiter or fall back to a tab if that makes sense.
var delim = this.attr_('delimiter');
for (var i = start; i < lines.length; i++) {
var line = lines[i];
line_no = i;
- if (line.length == 0) continue; // skip blank lines
+ if (line.length === 0) continue; // skip blank lines
if (line[0] == '#') continue; // skip comment lines
var inFields = line.split(delim);
if (inFields.length < 2) continue;
// If fractions are expected, parse the numbers as "A/B"
if (this.fractions_) {
- for (var j = 1; j < inFields.length; j++) {
+ for (j = 1; j < inFields.length; j++) {
// TODO(danvk): figure out an appropriate way to flag parse errors.
- var vals = inFields[j].split("/");
+ vals = inFields[j].split("/");
if (vals.length != 2) {
this.error('Expected fractional "num/den" values in CSV data ' +
"but found a value '" + inFields[j] + "' on line " +
'but line ' + (1 + i) + ' has an odd number of values (' +
(inFields.length - 1) + "): '" + line + "'");
}
- for (var j = 1; j < inFields.length; j += 2) {
+ for (j = 1; j < inFields.length; j += 2) {
fields[(j + 1) / 2] = [this.parseFloat_(inFields[j], i, line),
this.parseFloat_(inFields[j + 1], i, line)];
}
} else if (this.attr_("customBars")) {
// Bars are a low;center;high tuple
- for (var j = 1; j < inFields.length; j++) {
+ for (j = 1; j < inFields.length; j++) {
var val = inFields[j];
if (/^ *$/.test(val)) {
fields[j] = [null, null, null];
} else {
- var vals = val.split(";");
+ vals = val.split(";");
if (vals.length == 3) {
fields[j] = [ this.parseFloat_(vals[0], i, line),
this.parseFloat_(vals[1], i, line),
this.parseFloat_(vals[2], i, line) ];
} else {
- this.warning('When using customBars, values must be either blank ' +
- 'or "low;center;high" tuples (got "' + val +
- '" on line ' + (1+i));
+ this.warn('When using customBars, values must be either blank ' +
+ 'or "low;center;high" tuples (got "' + val +
+ '" on line ' + (1+i));
}
}
}
} else {
// Values are just numbers
- for (var j = 1; j < inFields.length; j++) {
+ for (j = 1; j < inFields.length; j++) {
fields[j] = this.parseFloat_(inFields[j], i, line);
}
}
// first row parsed correctly, then they probably double-specified the
// labels. We go with the values set in the option, discard this row and
// log a warning to the JS console.
- if (i == 0 && this.attr_('labels')) {
+ if (i === 0 && this.attr_('labels')) {
var all_null = true;
- for (var j = 0; all_null && j < fields.length; j++) {
+ for (j = 0; all_null && j < fields.length; j++) {
if (fields[j]) all_null = false;
}
if (all_null) {
if (outOfOrder) {
this.warn("CSV is out of order; order it correctly to speed loading.");
- ret.sort(function(a,b) { return a[0] - b[0] });
+ ret.sort(function(a,b) { return a[0] - b[0]; });
}
return ret;
*/
Dygraph.prototype.parseArray_ = function(data) {
// Peek at the first x value to see if it's numeric.
- if (data.length == 0) {
+ if (data.length === 0) {
this.error("Can't plot empty data set");
return null;
}
- if (data[0].length == 0) {
+ if (data[0].length === 0) {
this.error("Data set cannot contain an empty row");
return null;
}
- if (this.attr_("labels") == null) {
+ var i;
+ if (this.attr_("labels") === null) {
this.warn("Using default labels. Set labels explicitly via 'labels' " +
"in the options parameter");
this.attrs_.labels = [ "X" ];
- for (var i = 1; i < data[0].length; i++) {
+ for (i = 1; i < data[0].length; i++) {
this.attrs_.labels.push("Y" + i);
}
}
// Assume they're all dates.
var parsedData = Dygraph.clone(data);
- for (var i = 0; i < data.length; i++) {
- if (parsedData[i].length == 0) {
+ for (i = 0; i < data.length; i++) {
+ if (parsedData[i].length === 0) {
this.error("Row " + (1 + i) + " of data is empty");
return null;
}
- if (parsedData[i][0] == null
- || typeof(parsedData[i][0].getTime) != 'function'
- || isNaN(parsedData[i][0].getTime())) {
+ if (parsedData[i][0] === null ||
+ typeof(parsedData[i][0].getTime) != 'function' ||
+ isNaN(parsedData[i][0].getTime())) {
this.error("x value in row " + (1 + i) + " is not a Date");
return null;
}
* @private
*/
Dygraph.prototype.parseDataTable_ = function(data) {
+ var shortTextForAnnotationNum = function(num) {
+ // converts [0-9]+ [A-Z][a-z]*
+ // example: 0=A, 1=B, 25=Z, 26=Aa, 27=Ab
+ // and continues like.. Ba Bb .. Za .. Zz..Aaa...Zzz Aaaa Zzzz
+ var shortText = String.fromCharCode(65 /* A */ + num % 26);
+ num = Math.floor(num / 26);
+ while ( num > 0 ) {
+ shortText = String.fromCharCode(65 /* A */ + (num - 1) % 26 ) + shortText.toLowerCase();
+ num = Math.floor((num - 1) / 26);
+ }
+ return shortText;
+ }
+
var cols = data.getNumberOfColumns();
var rows = data.getNumberOfRows();
var colIdx = [];
var annotationCols = {}; // data index -> [annotation cols]
var hasAnnotations = false;
- for (var i = 1; i < cols; i++) {
+ var i, j;
+ for (i = 1; i < cols; i++) {
var type = data.getColumnType(i);
if (type == 'number') {
colIdx.push(i);
// Read column labels
// TODO(danvk): add support back for errorBars
var labels = [data.getColumnLabel(0)];
- for (var i = 0; i < colIdx.length; i++) {
+ for (i = 0; i < colIdx.length; i++) {
labels.push(data.getColumnLabel(colIdx[i]));
if (this.attr_("errorBars")) i += 1;
}
var ret = [];
var outOfOrder = false;
var annotations = [];
- for (var i = 0; i < rows; i++) {
+ for (i = 0; i < rows; i++) {
var row = [];
if (typeof(data.getValue(i, 0)) === 'undefined' ||
data.getValue(i, 0) === null) {
row.push(data.getValue(i, 0));
}
if (!this.attr_("errorBars")) {
- for (var j = 0; j < colIdx.length; j++) {
+ for (j = 0; j < colIdx.length; j++) {
var col = colIdx[j];
row.push(data.getValue(i, col));
if (hasAnnotations &&
annotationCols.hasOwnProperty(col) &&
- data.getValue(i, annotationCols[col][0]) != null) {
+ data.getValue(i, annotationCols[col][0]) !== null) {
var ann = {};
ann.series = data.getColumnLabel(col);
ann.xval = row[0];
- ann.shortText = String.fromCharCode(65 /* A */ + annotations.length)
+ ann.shortText = shortTextForAnnotationNum(annotations.length);
ann.text = '';
for (var k = 0; k < annotationCols[col].length; k++) {
if (k) ann.text += "\n";
}
// Strip out infinities, which give dygraphs problems later on.
- for (var j = 0; j < row.length; j++) {
+ for (j = 0; j < row.length; j++) {
if (!isFinite(row[j])) row[j] = null;
}
} else {
- for (var j = 0; j < cols - 1; j++) {
+ for (j = 0; j < cols - 1; j++) {
row.push([ data.getValue(i, 1 + 2 * j), data.getValue(i, 2 + 2 * j) ]);
}
}
if (outOfOrder) {
this.warn("DataTable is out of order; order it correctly to speed loading.");
- ret.sort(function(a,b) { return a[0] - b[0] });
+ ret.sort(function(a,b) { return a[0] - b[0]; });
}
this.rawData_ = ret;
if (annotations.length > 0) {
this.setAnnotations(annotations, true);
}
-}
+};
/**
* Get the CSV data. If it's in a function, call that function. If it's in a
* @private
*/
Dygraph.prototype.start_ = function() {
- if (typeof this.file_ == 'function') {
- // CSV string. Pretend we got it via XHR.
- this.loadedEvent_(this.file_());
- } else if (Dygraph.isArrayLike(this.file_)) {
- this.rawData_ = this.parseArray_(this.file_);
+ var data = this.file_;
+
+ // Functions can return references of all other types.
+ if (typeof data == 'function') {
+ data = data();
+ }
+
+ if (Dygraph.isArrayLike(data)) {
+ this.rawData_ = this.parseArray_(data);
this.predraw_();
- } else if (typeof this.file_ == 'object' &&
- typeof this.file_.getColumnRange == 'function') {
+ } else if (typeof data == 'object' &&
+ typeof data.getColumnRange == 'function') {
// must be a DataTable from gviz.
- this.parseDataTable_(this.file_);
+ this.parseDataTable_(data);
this.predraw_();
- } else if (typeof this.file_ == 'string') {
+ } else if (typeof data == 'string') {
// Heuristic: a newline means it's CSV data. Otherwise it's an URL.
- if (this.file_.indexOf('\n') >= 0) {
- this.loadedEvent_(this.file_);
+ if (data.indexOf('\n') >= 0) {
+ this.loadedEvent_(data);
} else {
var req = new XMLHttpRequest();
var caller = this;
req.onreadystatechange = function () {
if (req.readyState == 4) {
- if (req.status == 200 || // Normal http
- req.status == 0) { // Chrome w/ --allow-file-access-from-files
+ if (req.status === 200 || // Normal http
+ req.status === 0) { // Chrome w/ --allow-file-access-from-files
caller.loadedEvent_(req.responseText);
}
}
};
- req.open("GET", this.file_, true);
+ req.open("GET", data, true);
req.send(null);
}
} else {
- this.error("Unknown data format: " + (typeof this.file_));
+ this.error("Unknown data format: " + (typeof data));
}
};
if (typeof(block_redraw) == 'undefined') block_redraw = false;
// mapLegacyOptions_ drops the "file" parameter as a convenience to us.
- var file = input_attrs['file'];
+ var file = input_attrs.file;
var attrs = Dygraph.mapLegacyOptions_(input_attrs);
// TODO(danvk): this is a mess. Move these options into attr_.
if ('dateWindow' in attrs) {
this.dateWindow_ = attrs.dateWindow;
if (!('isZoomedIgnoreProgrammaticZoom' in attrs)) {
- this.zoomed_x_ = attrs.dateWindow != null;
+ this.zoomed_x_ = (attrs.dateWindow !== null);
}
}
if ('valueRange' in attrs && !('isZoomedIgnoreProgrammaticZoom' in attrs)) {
- this.zoomed_y_ = attrs.valueRange != null;
+ this.zoomed_y_ = (attrs.valueRange !== null);
}
// TODO(danvk): validate per-series options.
// Do lazy-initialization, so that this happens after we know the number of
// data series.
if (!this.attr_("visibility")) {
- this.attrs_["visibility"] = [];
+ this.attrs_.visibility = [];
}
- while (this.attr_("visibility").length < this.rawData_[0].length - 1) {
- this.attr_("visibility").push(true);
+ // TODO(danvk): it looks like this could go into an infinite loop w/ user_attrs.
+ while (this.attr_("visibility").length < this.numColumns() - 1) {
+ this.attrs_.visibility.push(true);
}
return this.attr_("visibility");
};
};
/**
+ * Get the list of label names for this graph. The first column is the
+ * x-axis, so the data series names start at index 1.
+ */
+Dygraph.prototype.getLabels = function(name) {
+ return this.attr_("labels").slice();
+};
+
+/**
* Get the index of a series (column) given its name. The first column is the
* x-axis, so the data series start with index 1.
*/
Dygraph.prototype.indexFromSetName = function(name) {
- var labels = this.attr_("labels");
- for (var i = 0; i < labels.length; i++) {
- if (labels[i] == name) return i;
- }
- return null;
+ return this.setIndexByName_[name];
};
/**
}
this.warn("Unable to add default annotation CSS rule; display may be off.");
-}
+};
// Older pages may still use this name.
var DateGraph = Dygraph;
projects / dygraphs.git / blobdiff