If the 'errorBars' option is set in the constructor, the input should be of
the form
-
Date,SeriesA,SeriesB,...
YYYYMMDD,A1,sigmaA1,B1,sigmaB1,...
YYYYMMDD,A2,sigmaA2,B2,sigmaB2,...
this.is_initial_draw_ = true;
this.annotations_ = [];
+ // 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.
div.innerHTML = "";
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.toString = function() {
+ var maindiv = this.maindiv_;
+ var id = (maindiv && maindiv.id) ? maindiv.id : maindiv
+ return "[Dygraph " + id + "]";
+}
+
Dygraph.prototype.attr_ = function(name, seriesName) {
if (seriesName &&
typeof(this.user_attrs_[seriesName]) != 'undefined' &&
var area = this.plotter_.area;
var yRange = this.yAxisRange(axis);
- if (!axis.logscale) {
+ if (typeof(axis) == "undefined") axis = 0;
+ if (!this.axes_[axis].logscale) {
return yRange[0] + (area.h - y) / area.h * (yRange[1] - yRange[0]);
} else {
// Computing the inverse of toDomCoord.
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);
- axis.dragValueRange = yRange[1] - yRange[0];
- axis.draggingValue = g.toDataYCoord(context.dragStartY, i);
+ // TODO(konigsberg): These values should be in |context|.
+ // In log scale, initialTopValue, dragValueRange and unitsPerPixel are log scale.
+ if (axis.logscale) {
+ axis.initialTopValue = Dygraph.log10(yRange[1]);
+ axis.dragValueRange = Dygraph.log10(yRange[1]) - Dygraph.log10(yRange[0]);
+ } else {
+ axis.initialTopValue = yRange[1];
+ axis.dragValueRange = yRange[1] - yRange[0];
+ }
+ axis.unitsPerPixel = axis.dragValueRange / (g.plotter_.area.h - 1);
+
+ // While calculating axes, set 2dpan.
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.
- // NOTE(konigsberg): I don't think this computation for y_frac is correct.
- // I think it doesn't take into account the display of the x axis.
- // See, when I tested this with console.log(y_frac), and move the mouse
- // cursor to the botom, the largest y_frac was 0.94, and not 1.0. That
- // could also explain why panning tends to start with a small jumpy shift.
- 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 pixelsDragged = context.dragEndY - context.dragStartY;
+ var unitsDragged = pixelsDragged * axis.unitsPerPixel;
+
+ // In log scale, maxValue and minValue are the logs of those values.
+ var maxValue = axis.initialTopValue + unitsDragged;
var minValue = maxValue - axis.dragValueRange;
- axis.valueWindow = [ minValue, maxValue ];
+ if (axis.logscale) {
+ axis.valueWindow = [ Math.pow(Dygraph.LOG_SCALE, minValue),
+ Math.pow(Dygraph.LOG_SCALE, maxValue) ];
+ } else {
+ 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, hi]);
}
+ 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];
idx = i;
}
if (idx >= 0) lastx = points[idx].xval;
- // Check that you can really highlight the last day's data
- var last = points[points.length-1];
- if (last != null && canvasx > last.canvasx)
- lastx = points[points.length-1].xval;
// Extract the points we've selected
this.selPoints_ = [];
}
};
+// This is a list of human-friendly values at which to show tick marks on a log
+// scale. It is k * 10^n, where k=1..9 and n=-39..+39, so:
+// ..., 1, 2, 3, 4, 5, ..., 9, 10, 20, 30, ..., 90, 100, 200, 300, ...
+// NOTE: this assumes that Dygraph.LOG_SCALE = 10.
+Dygraph.PREFERRED_LOG_TICK_VALUES = function() {
+ var vals = [];
+ for (var power = -39; power <= 39; power++) {
+ var range = Math.pow(10, power);
+ for (var mult = 1; mult <= 9; mult++) {
+ var val = range * mult;
+ vals.push(val);
+ }
+ }
+ return vals;
+}();
+
+// val is the value to search for
+// arry is the value over which to search
+// if abs > 0, find the lowest entry greater than val
+// if abs < 0, find the highest entry less than val
+// if abs == 0, find the entry that equals val.
+// Currently does not work when val is outside the range of arry's values.
+Dygraph.binarySearch = function(val, arry, abs, low, high) {
+ if (low == null || high == null) {
+ low = 0;
+ high = arry.length - 1;
+ }
+ if (low > high) {
+ return -1;
+ }
+ if (abs == null) {
+ abs = 0;
+ }
+ var validIndex = function(idx) {
+ return idx >= 0 && idx < arry.length;
+ }
+ var mid = parseInt((low + high) / 2);
+ var element = arry[mid];
+ if (element == val) {
+ return mid;
+ }
+ if (element > val) {
+ if (abs > 0) {
+ // Accept if element > val, but also if prior element < val.
+ var idx = mid - 1;
+ if (validIndex(idx) && arry[idx] < val) {
+ return mid;
+ }
+ }
+ return Dygraph.binarySearch(val, arry, abs, low, mid - 1);
+ }
+ if (element < val) {
+ if (abs < 0) {
+ // Accept if element < val, but also if prior element > val.
+ var idx = mid + 1;
+ if (validIndex(idx) && arry[idx] > val) {
+ return mid;
+ }
+ }
+ return Dygraph.binarySearch(val, arry, abs, mid + 1, high);
+ }
+};
+
/**
* Add ticks when the x axis has numbers on it (instead of dates)
* TODO(konigsberg): Update comment.
}
} else {
if (axis_props && attr("logscale")) {
- // As opposed to the other ways for computing ticks, we're just going
- // for nearby values. There's no reasonable way to scale the values
- // (unless we want to show strings like "log(" + x + ")") in which case
- // x can be integer values.
-
- // so compute height / pixelsPerTick and move on.
var pixelsPerTick = attr('pixelsPerYLabel');
// NOTE(konigsberg): Dan, should self.height_ be self.plotter_.area.h?
var nTicks = Math.floor(self.height_ / pixelsPerTick);
- var vv = minV;
-
- // Construct the set of ticks.
- for (var i = 0; i < nTicks; i++) {
- ticks.push( {v: vv} );
- vv = vv * Dygraph.LOG_SCALE;
+ var minIdx = Dygraph.binarySearch(minV, Dygraph.PREFERRED_LOG_TICK_VALUES, 1);
+ var maxIdx = Dygraph.binarySearch(maxV, Dygraph.PREFERRED_LOG_TICK_VALUES, -1);
+ if (minIdx == -1) {
+ minIdx = 0;
}
- } else {
+ if (maxIdx == -1) {
+ maxIdx = Dygraph.PREFERRED_LOG_TICK_VALUES.length - 1;
+ }
+ // Count the number of tick values would appear, if we can get at least
+ // nTicks / 4 accept them.
+ var lastDisplayed = null;
+ if (maxIdx - minIdx >= nTicks / 4) {
+ var axisId = axis_props.yAxisId;
+ for (var idx = maxIdx; idx >= minIdx; idx--) {
+ var tickValue = Dygraph.PREFERRED_LOG_TICK_VALUES[idx];
+ var domCoord = axis_props.g.toDomYCoord(tickValue, axisId);
+ var tick = { v: tickValue };
+ if (lastDisplayed == null) {
+ lastDisplayed = {
+ tickValue : tickValue,
+ domCoord : domCoord
+ };
+ } else {
+ if (domCoord - lastDisplayed.domCoord >= pixelsPerTick) {
+ lastDisplayed = {
+ tickValue : tickValue,
+ domCoord : domCoord
+ };
+ } else {
+ tick.label = "";
+ }
+ }
+ ticks.push(tick);
+ }
+ // Since we went in backwards order.
+ ticks.reverse();
+ }
+ }
+
+ // ticks.length won't be 0 if the log scale function finds values to insert.
+ if (ticks.length == 0) {
// Basic idea:
// Try labels every 1, 2, 5, 10, 20, 50, 100, etc.
// Calculate the resulting tick spacing (i.e. this.height_ / nTicks).
}
var formatter = attr('yAxisLabelFormatter') ? attr('yAxisLabelFormatter') : attr('yValueFormatter');
+ // Add labels to the ticks.
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) {
- // 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];
- break;
+ if (ticks[i].label == null) {
+ 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) {
+ // 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];
+ break;
+ }
}
}
+ ticks[i].label = label;
}
- ticks[i].label = label;
}
return ticks;
};
* number of axes, rolling averages, etc.
*/
Dygraph.prototype.predraw_ = function() {
- // TODO(danvk): movabilitye more computations out of drawGraph_ and into here.
+ // TODO(danvk): move more computations out of drawGraph_ and into here.
this.computeYAxes_();
// Create a new plotter.
// On the log scale, points less than zero do not exist.
// This will create a gap in the chart. Note that this ignores
// connectSeparatedPoints.
- if (point < 0) {
+ if (point <= 0) {
point = null;
}
series.push([date, point]);
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
- } );
-
+ 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, g : this }]; // 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;
+ opts.g = this;
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];
+ }
+ }
};
/**
*/
Dygraph.prototype.detectTypeFromString_ = function(str) {
var isDate = false;
- if (str.indexOf('-') >= 0 ||
+ if (str.indexOf('-') > 0 ||
str.indexOf('/') >= 0 ||
isNaN(parseFloat(str))) {
isDate = true;
}
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.
projects / dygraphs.git / blobdiff