labelsKMG2: false,
showLabelsOnHighlight: true,
- yValueFormatter: function(x, opt_numDigits) {
- return x.toPrecision(opt_numDigits || 2);
- },
+ yValueFormatter: function(x) { return Dygraph.round_(x, 2); },
strokeWidth: 1.0,
this.wilsonInterval_ = attrs.wilsonInterval || true;
this.is_initial_draw_ = true;
this.annotations_ = [];
- this.numDigits_ = 2;
+
+ // Zoomed indicators - These indicate when the graph has been zoomed and on what axis.
+ this.zoomed_x_ = false;
+ this.zoomed_y_ = false;
// Clear the div. This ensure that, if multiple dygraphs are passed the same
// div, then only one will be drawn.
this.start_();
};
+// axis is an optional parameter. Can be set to 'x' or 'y'.
+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'.";
+};
+
Dygraph.prototype.attr_ = function(name, seriesName) {
if (seriesName &&
typeof(this.user_attrs_[seriesName]) != 'undefined' &&
/**
* Returns the current rolling period, as set by the user or an option.
- * @return {Number} The number of points in the rolling window
+ * @return {Number} The number of days in the rolling window
*/
Dygraph.prototype.rollPeriod = function() {
return this.rollPeriod_;
// panning behavior.
//
Dygraph.startPan = function(event, g, context) {
- // have to be zoomed in to pan.
- // TODO(konigsberg): Let's loosen this zoom-to-pan restriction, also
- // perhaps create panning boundaries? A more flexible pan would make it,
- // ahem, 'pan-useful'.
- var zoomedY = false;
- for (var i = 0; i < g.axes_.length; i++) {
- if (g.axes_[i].valueWindow || g.axes_[i].valueRange) {
- zoomedY = true;
- break;
- }
- }
- if (!g.dateWindow_ && !zoomedY) return;
-
context.isPanning = true;
var xRange = g.xAxisRange();
context.dateRange = xRange[1] - xRange[0];
+ context.initialLeftmostDate = xRange[0];
+ context.xUnitsPerPixel = context.dateRange / (g.plotter_.area.w - 1);
// Record the range of each y-axis at the start of the drag.
// If any axis has a valueRange or valueWindow, then we want a 2D pan.
for (var i = 0; i < g.axes_.length; i++) {
var axis = g.axes_[i];
var yRange = g.yAxisRange(i);
+ // TODO(konigsberg): These values should be in |context|.
axis.dragValueRange = yRange[1] - yRange[0];
- var r = g.toDataCoords(null, context.dragStartY, i);
- axis.draggingValue = r[1];
+ axis.initialTopValue = yRange[1];
+ axis.unitsPerPixel = axis.dragValueRange / (g.plotter_.area.h - 1);
if (axis.valueWindow || axis.valueRange) context.is2DPan = true;
}
-
- // TODO(konigsberg): Switch from all this math to toDataCoords?
- // Seems to work for the dragging value.
- context.draggingDate = (context.dragStartX / g.width_) * context.dateRange + xRange[0];
};
// Called in response to an interaction model operation that
context.dragEndX = g.dragGetX_(event, context);
context.dragEndY = g.dragGetY_(event, context);
- // TODO(danvk): update this comment
- // Want to have it so that:
- // 1. draggingDate appears at dragEndX, draggingValue appears at dragEndY.
- // 2. daterange = (dateWindow_[1] - dateWindow_[0]) is unaltered.
- // 3. draggingValue appears at dragEndY.
- // 4. valueRange is unaltered.
-
- var minDate = context.draggingDate - (context.dragEndX / g.width_) * context.dateRange;
+ var minDate = context.initialLeftmostDate -
+ (context.dragEndX - context.dragStartX) * context.xUnitsPerPixel;
var maxDate = minDate + context.dateRange;
g.dateWindow_ = [minDate, maxDate];
// y-axis scaling is automatic unless this is a full 2D pan.
if (context.is2DPan) {
// Adjust each axis appropriately.
- var y_frac = context.dragEndY / g.height_;
for (var i = 0; i < g.axes_.length; i++) {
var axis = g.axes_[i];
- var maxValue = axis.draggingValue + y_frac * axis.dragValueRange;
+ var maxValue = axis.initialTopValue +
+ (context.dragEndY - context.dragStartY) * axis.unitsPerPixel;
var minValue = maxValue - axis.dragValueRange;
axis.valueWindow = [ minValue, maxValue ];
}
// panning behavior.
//
Dygraph.endPan = function(event, g, context) {
+ // TODO(konigsberg): Clear the context data from the axis.
+ // TODO(konigsberg): mouseup should just delete the
+ // context object, and mousedown should create a new one.
context.isPanning = false;
context.is2DPan = false;
- context.draggingDate = null;
+ context.initialLeftmostDate = null;
context.dateRange = null;
context.valueRange = null;
}
prevEndY: null,
prevDragDirection: null,
- // TODO(danvk): update this comment
- // draggingDate and draggingValue represent the [date,value] point on the
- // graph at which the mouse was pressed. As the mouse moves while panning,
- // the viewport must pan so that the mouse position points to
- // [draggingDate, draggingValue]
- draggingDate: null,
+ // The value on the left side of the graph when a pan operation starts.
+ initialLeftmostDate: null,
+
+ // The number of units each pixel spans. (This won't be valid for log
+ // scales)
+ xUnitsPerPixel: null,
// TODO(danvk): update this comment
// The range in second/value units that the viewport encompasses during a
*/
Dygraph.prototype.doZoomXDates_ = function(minDate, maxDate) {
this.dateWindow_ = [minDate, maxDate];
+ this.zoomed_x_ = true;
this.drawGraph_();
if (this.attr_("zoomCallback")) {
this.attr_("zoomCallback")(minDate, maxDate, this.yAxisRanges());
valueRanges.push([low[1], hi[1]]);
}
+ this.zoomed_y_ = true;
this.drawGraph_();
if (this.attr_("zoomCallback")) {
var xRange = this.xAxisRange();
+ var yRange = this.yAxisRange();
this.attr_("zoomCallback")(xRange[0], xRange[1], this.yAxisRanges());
}
};
if (dirty) {
// Putting the drawing operation before the callback because it resets
// yAxisRange.
+ this.zoomed_x_ = false;
+ this.zoomed_y_ = false;
this.drawGraph_();
if (this.attr_("zoomCallback")) {
var minDate = this.rawData_[0][0];
}
var point = this.selPoints_[i];
var c = new RGBColor(this.plotter_.colors[point.name]);
- var yval = fmtFunc(point.yval, this.numDigits_ + 1); // In tenths.
+ var yval = fmtFunc(point.yval);
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 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});
- }
+ var xTicks = this.attr_('xTicker')(startDate, endDate, this);
+ this.layout_.updateOptions({xTicks: xTicks});
};
// 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[i] = {v: vals[i]};
+ ticks.push({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[i] = {v: tickV};
+ ticks.push( {v: tickV} );
}
}
k = 1024;
k_labels = [ "k", "M", "G", "T" ];
}
- 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);
- }
+ var formatter = attr('yAxisLabelFormatter') ? attr('yAxisLabelFormatter') : attr('yValueFormatter');
for (var i = 0; i < ticks.length; i++) {
var tickV = ticks[i].v;
var absTickV = Math.abs(tickV);
- var label = (formatter !== undefined) ?
- formatter(tickV, numDigits) : tickV.toPrecision(numDigits);
- if (k_labels.length > 0) {
+ var label;
+ if (formatter != undefined) {
+ label = formatter(tickV);
+ } else {
+ label = Dygraph.round_(tickV, 2);
+ }
+ if (k_labels.length) {
// 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 = (tickV / n).toPrecision(numDigits) + k_labels[j];
+ label = Dygraph.round_(tickV / n, 1) + k_labels[j];
break;
}
}
}
ticks[i].label = label;
}
- return {ticks: ticks, numDigits: numDigits};
+ return ticks;
};
// Computes the range of the data series (including confidence intervals).
this.layout_.addDataset(this.attr_("labels")[i], datasets[i]);
}
- this.computeYAxisRanges_(extremes);
- this.layout_.updateOptions( { yAxes: this.axes_,
- seriesToAxisMap: this.seriesToAxisMap_
- } );
-
+ if (datasets.length > 0) {
+ // 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.addXTicks_();
+ // Save the X axis zoomed status as the updateOptions call will tend to set it errorneously
+ var tmp_zoomed_x = this.zoomed_x_;
// Tell PlotKit to use this new data and render itself
this.layout_.updateOptions({dateWindow: this.dateWindow_});
+ this.zoomed_x_ = tmp_zoomed_x;
this.layout_.evaluateWithError();
this.plotter_.clear();
this.plotter_.render();
* indices are into the axes_ array.
*/
Dygraph.prototype.computeYAxes_ = function() {
- this.axes_ = [{}]; // always have at least one y-axis.
+ var valueWindows;
+ if (this.axes_ != undefined) {
+ // Preserve valueWindow settings.
+ valueWindows = [];
+ for (var index = 0; index < this.axes_.length; index++) {
+ valueWindows.push(this.axes_[index].valueWindow);
+ }
+ }
+
+ this.axes_ = [{ yAxisId: 0 }]; // always have at least one y-axis.
this.seriesToAxisMap_ = {};
// Get a list of series names.
var opts = {};
Dygraph.update(opts, this.axes_[0]);
Dygraph.update(opts, { valueRange: null }); // shouldn't inherit this.
+ var yAxisId = this.axes_.length;
+ opts.yAxisId = yAxisId;
Dygraph.update(opts, axis);
this.axes_.push(opts);
- this.seriesToAxisMap_[seriesName] = this.axes_.length - 1;
+ this.seriesToAxisMap_[seriesName] = yAxisId;
}
}
if (vis[i - 1]) seriesToAxisFiltered[s] = this.seriesToAxisMap_[s];
}
this.seriesToAxisMap_ = seriesToAxisFiltered;
+
+ if (valueWindows != undefined) {
+ // Restore valueWindow settings.
+ for (var index = 0; index < valueWindows.length; index++) {
+ this.axes_[index].valueWindow = valueWindows[index];
+ }
+ }
};
/**
// primary axis. However, if an axis is specifically marked as having
// independent ticks, then that is permissible as well.
if (i == 0 || axis.independentTicks) {
- var ret =
+ axis.ticks =
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);
}
- var ret =
+ axis.ticks =
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 points over which to average the
- * data
+ * @param {Number} rollPeriod The number of days 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 points
+ // there is not enough data to roll over the full number of days
var num_init_points = Math.min(rollPeriod - 1, originalData.length - 2);
if (!this.attr_("errorBars")){
if (rollPeriod == 1) {
}
if ('dateWindow' in attrs) {
this.dateWindow_ = attrs.dateWindow;
+ if (!('noZoomFlagChange' in attrs)) {
+ this.zoomed_x_ = attrs.dateWindow != null;
+ }
+ }
+ if ('valueRange' in attrs && !('noZoomFlagChange' in attrs)) {
+ this.zoomed_y_ = attrs.valueRange != null;
}
// TODO(danvk): validate per-series options.
};
/**
- * Adjusts the number of points in the rolling average. Updates the graph to
+ * Adjusts the number of days in the rolling average. Updates the graph to
* reflect the new averaging period.
- * @param {Number} length Number of points over which to average the data.
+ * @param {Number} length Number of days over which to average the data.
*/
Dygraph.prototype.adjustRoll = function(length) {
this.rollPeriod_ = length;
projects / dygraphs.git / blobdiff