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}
}
return 0;
}
};
Dygraph.prototype.animateSelection_ = function(direction) {
var totalSteps = 10;
var millis = 30;
if (this.fadeLevel === undefined) this.fadeLevel = 0;
if (this.animateId === undefined) this.animateId = 0;
var start = this.fadeLevel;
var steps = direction < 0 ? start : totalSteps - start;
if (steps <= 0) {
if (this.fadeLevel) {
this.updateSelection_(1.0);
}
return;
}
var thisId = ++this.animateId;
var that = this;
Dygraph.repeatAndCleanup(
function(n) {
// ignore simultaneous animations
if (that.animateId != thisId) return;
that.fadeLevel += direction;
if (that.fadeLevel === 0) {
that.clearSelection();
} else {
that.updateSelection_(that.fadeLevel / totalSteps);
}
},
steps, millis, function() {});
};
/**
* Draw dots over the selectied points in the data series. This function
* takes care of cleanup of previously-drawn dots.
* @private
*/
Dygraph.prototype.updateSelection_ = function(opt_animFraction) {
/*var defaultPrevented = */
this.cascadeEvents_('select', {
selectedRow: this.lastRow_,
selectedX: this.lastx_,
selectedPoints: this.selPoints_
});
// TODO(danvk): use defaultPrevented here?
// Clear the previously drawn vertical, if there is one
var i;
var ctx = this.canvas_ctx_;
if (this.getOption('highlightSeriesOpts')) {
ctx.clearRect(0, 0, this.width_, this.height_);
var alpha = 1.0 - this.getNumericOption('highlightSeriesBackgroundAlpha');
if (alpha) {
// Activating background fade includes an animation effect for a gradual
// fade. TODO(klausw): make this independently configurable if it causes
// issues? Use a shared preference to control animations?
var animateBackgroundFade = true;
if (animateBackgroundFade) {
if (opt_animFraction === undefined) {
// start a new animation
this.animateSelection_(1);
return;
}
alpha *= opt_animFraction;
}
ctx.fillStyle = 'rgba(255,255,255,' + alpha + ')';
ctx.fillRect(0, 0, this.width_, this.height_);
}
// Redraw only the highlighted series in the interactive canvas (not the
// static plot canvas, which is where series are usually drawn).
this.plotter_._renderLineChart(this.highlightSet_, ctx);
} else if (this.previousVerticalX_ >= 0) {
// Determine the maximum highlight circle size.
var maxCircleSize = 0;
var labels = this.attr_('labels');
for (i = 1; i < labels.length; i++) {
var r = this.getNumericOption('highlightCircleSize', labels[i]);
if (r > maxCircleSize) maxCircleSize = r;
}
var px = this.previousVerticalX_;
ctx.clearRect(px - maxCircleSize - 1, 0,
2 * maxCircleSize + 2, this.height_);
}
if (this.isUsingExcanvas_ && this.currentZoomRectArgs_) {
Dygraph.prototype.drawZoomRect_.apply(this, this.currentZoomRectArgs_);
}
if (this.selPoints_.length > 0) {
// Draw colored circles over the center of each selected point
var canvasx = this.selPoints_[0].canvasx;
ctx.save();
for (i = 0; i < this.selPoints_.length; i++) {
var pt = this.selPoints_[i];
if (!Dygraph.isOK(pt.canvasy)) continue;
var circleSize = this.getNumericOption('highlightCircleSize', pt.name);
var callback = this.getFunctionOption("drawHighlightPointCallback", pt.name);
var color = this.plotter_.colors[pt.name];
if (!callback) {
callback = Dygraph.Circles.DEFAULT;
}
ctx.lineWidth = this.getNumericOption('strokeWidth', pt.name);
ctx.strokeStyle = color;
ctx.fillStyle = color;
callback.call(this, this, pt.name, ctx, canvasx, pt.canvasy,
color, circleSize, pt.idx);
}
ctx.restore();
this.previousVerticalX_ = canvasx;
}
};
/**
* Manually set the selected points and display information about them in the
* legend. The selection can be cleared using clearSelection() and queried
* using getSelection().
* @param {number} row Row number that should be highlighted (i.e. appear with
* hover dots on the chart).
* @param {seriesName} optional series name to highlight that series with the
* the highlightSeriesOpts setting.
* @param { locked } optional If true, keep seriesName selected when mousing
* over the graph, disabling closest-series highlighting. Call clearSelection()
* to unlock it.
*/
Dygraph.prototype.setSelection = function(row, opt_seriesName, opt_locked) {
// Extract the points we've selected
this.selPoints_ = [];
var changed = false;
if (row !== false && row >= 0) {
if (row != this.lastRow_) changed = true;
this.lastRow_ = row;
for (var setIdx = 0; setIdx < this.layout_.points.length; ++setIdx) {
var points = this.layout_.points[setIdx];
// Check if the point at the appropriate index is the point we're looking
// for. If it is, just use it, otherwise search the array for a point
// in the proper place.
var setRow = row - this.getLeftBoundary_(setIdx);
if (setRow < points.length && points[setRow].idx == row) {
var point = points[setRow];
if (point.yval !== null) this.selPoints_.push(point);
} else {
for (var pointIdx = 0; pointIdx < points.length; ++pointIdx) {
var point = points[pointIdx];
if (point.idx == row) {
if (point.yval !== null) {
this.selPoints_.push(point);
}
break;
}
}
}
}
} else {
if (this.lastRow_ >= 0) changed = true;
this.lastRow_ = -1;
}
if (this.selPoints_.length) {
this.lastx_ = this.selPoints_[0].xval;
} else {
this.lastx_ = -1;
}
if (opt_seriesName !== undefined) {
if (this.highlightSet_ !== opt_seriesName) changed = true;
this.highlightSet_ = opt_seriesName;
}
if (opt_locked !== undefined) {
this.lockedSet_ = opt_locked;
}
if (changed) {
this.updateSelection_(undefined);
}
return changed;
};
/**
* The mouse has left the canvas. Clear out whatever artifacts remain
* @param {Object} event the mouseout event from the browser.
* @private
*/
Dygraph.prototype.mouseOut_ = function(event) {
if (this.getFunctionOption("unhighlightCallback")) {
this.getFunctionOption("unhighlightCallback").call(this, event);
}
if (this.getBooleanOption("hideOverlayOnMouseOut") && !this.lockedSet_) {
this.clearSelection();
}
};
/**
* Clears the current selection (i.e. points that were highlighted by moving
* the mouse over the chart).
*/
Dygraph.prototype.clearSelection = function() {
this.cascadeEvents_('deselect', {});
this.lockedSet_ = false;
// Get rid of the overlay data
if (this.fadeLevel) {
this.animateSelection_(-1);
return;
}
this.canvas_ctx_.clearRect(0, 0, this.width_, this.height_);
this.fadeLevel = 0;
this.selPoints_ = [];
this.lastx_ = -1;
this.lastRow_ = -1;
this.highlightSet_ = null;
};
/**
* Returns the number of the currently selected row. To get data for this row,
* you can use the getValue method.
* @return {number} row number, or -1 if nothing is selected
*/
Dygraph.prototype.getSelection = function() {
if (!this.selPoints_ || this.selPoints_.length < 1) {
return -1;
}
for (var setIdx = 0; setIdx < this.layout_.points.length; setIdx++) {
var points = this.layout_.points[setIdx];
for (var row = 0; row < points.length; row++) {
if (points[row].x == this.selPoints_[0].x) {
return points[row].idx;
}
}
}
return -1;
};
/**
* Returns the name of the currently-highlighted series.
* Only available when the highlightSeriesOpts option is in use.
*/
Dygraph.prototype.getHighlightSeries = function() {
return this.highlightSet_;
};
/**
* Returns true if the currently-highlighted series was locked
* via setSelection(..., seriesName, true).
*/
Dygraph.prototype.isSeriesLocked = function() {
return this.lockedSet_;
};
/**
* Fires when there's data available to be graphed.
* @param {string} data Raw CSV data to be plotted
* @private
*/
Dygraph.prototype.loadedEvent_ = function(data) {
this.rawData_ = this.parseCSV_(data);
this.cascadeDataDidUpdateEvent_();
this.predraw_();
};
/**
* Add ticks on the x-axis representing years, months, quarters, weeks, or days
* @private
*/
Dygraph.prototype.addXTicks_ = function() {
// Determine the correct ticks scale on the x-axis: quarterly, monthly, ...
var range;
if (this.dateWindow_) {
range = [this.dateWindow_[0], this.dateWindow_[1]];
} else {
range = this.xAxisExtremes();
}
var xAxisOptionsView = this.optionsViewForAxis_('x');
var xTicks = xAxisOptionsView('ticker')(
range[0],
range[1],
this.plotter_.area.w, // TODO(danvk): should be area.width
xAxisOptionsView,
this);
// var msg = 'ticker(' + range[0] + ', ' + range[1] + ', ' + this.width_ + ', ' + this.attr_('pixelsPerXLabel') + ') -> ' + JSON.stringify(xTicks);
// console.log(msg);
this.layout_.setXTicks(xTicks);
};
/**
* Returns the correct handler class for the currently set options.
* @private
*/
Dygraph.prototype.getHandlerClass_ = function() {
var handlerClass;
if (this.attr_('dataHandler')) {
handlerClass = this.attr_('dataHandler');
} else if (this.fractions_) {
if (this.getBooleanOption('errorBars')) {
handlerClass = Dygraph.DataHandlers.FractionsBarsHandler;
} else {
handlerClass = Dygraph.DataHandlers.DefaultFractionHandler;
}
} else if (this.getBooleanOption('customBars')) {
handlerClass = Dygraph.DataHandlers.CustomBarsHandler;
} else if (this.getBooleanOption('errorBars')) {
handlerClass = Dygraph.DataHandlers.ErrorBarsHandler;
} else {
handlerClass = Dygraph.DataHandlers.DefaultHandler;
}
return handlerClass;
};
/**
* @private
* This function is called once when the chart's data is changed or the options
* dictionary is updated. It is _not_ called when the user pans or zooms. The
* idea is that values derived from the chart's data can be computed here,
* rather than every time the chart is drawn. This includes things like the
* number of axes, rolling averages, etc.
*/
Dygraph.prototype.predraw_ = function() {
var start = new Date();
// Create the correct dataHandler
this.dataHandler_ = new (this.getHandlerClass_())();
this.layout_.computePlotArea();
// TODO(danvk): move more computations out of drawGraph_ and into here.
this.computeYAxes_();
if (!this.is_initial_draw_) {
this.canvas_ctx_.restore();
this.hidden_ctx_.restore();
}
this.canvas_ctx_.save();
this.hidden_ctx_.save();
// Create a new plotter.
this.plotter_ = new DygraphCanvasRenderer(this,
this.hidden_,
this.hidden_ctx_,
this.layout_);
// The roller sits in the bottom left corner of the chart. We don't know where
// this will be until the options are available, so it's positioned here.
this.createRollInterface_();
this.cascadeEvents_('predraw');
// 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.numColumns(); i++) {
// var logScale = this.attr_('logscale', i); // TODO(klausw): this looks wrong // konigsberg thinks so too.
var series = this.dataHandler_.extractSeries(this.rawData_, i, this.attributes_);
if (this.rollPeriod_ > 1) {
series = this.dataHandler_.rollingAverage(series, this.rollPeriod_, this.attributes_);
}
this.rolledSeries_.push(series);
}
// If the data or options have changed, then we'd better redraw.
this.drawGraph_();
// This is used to determine whether to do various animations.
var end = new Date();
this.drawingTimeMs_ = (end - start);
};
/**
* Point structure.
*
* xval_* and yval_* are the original unscaled data values,
* while x_* and y_* are scaled to the range (0.0-1.0) for plotting.
* yval_stacked is the cumulative Y value used for stacking graphs,
* and bottom/top/minus/plus are used for error bar graphs.
*
* @typedef {{
* idx: number,
* name: string,
* x: ?number,
* xval: ?number,
* y_bottom: ?number,
* y: ?number,
* y_stacked: ?number,
* y_top: ?number,
* yval_minus: ?number,
* yval: ?number,
* yval_plus: ?number,
* yval_stacked
* }}
*/
Dygraph.PointType = undefined;
/**
* Calculates point stacking for stackedGraph=true.
*
* For stacking purposes, interpolate or extend neighboring data across
* NaN values based on stackedGraphNaNFill settings. This is for display
* only, the underlying data value as shown in the legend remains NaN.
*
* @param {Array.<Dygraph.PointType>} points Point array for a single series.
* Updates each Point's yval_stacked property.
* @param {Array.<number>} cumulativeYval Accumulated top-of-graph stacked Y
* values for the series seen so far. Index is the row number. Updated
* based on the current series's values.
* @param {Array.<number>} seriesExtremes Min and max values, updated
* to reflect the stacked values.
* @param {string} fillMethod Interpolation method, one of 'all', 'inside', or
* 'none'.
* @private
*/
Dygraph.stackPoints_ = function(
points, cumulativeYval, seriesExtremes, fillMethod) {
var lastXval = null;
var prevPoint = null;
var nextPoint = null;
var nextPointIdx = -1;
// Find the next stackable point starting from the given index.
var updateNextPoint = function(idx) {
// If we've previously found a non-NaN point and haven't gone past it yet,
// just use that.
if (nextPointIdx >= idx) return;
// We haven't found a non-NaN point yet or have moved past it,
// look towards the right to find a non-NaN point.
for (var j = idx; j < points.length; ++j) {
// Clear out a previously-found point (if any) since it's no longer
// valid, we shouldn't use it for interpolation anymore.
nextPoint = null;
if (!isNaN(points[j].yval) && points[j].yval !== null) {
nextPointIdx = j;
nextPoint = points[j];
break;
}
}
};
for (var i = 0; i < points.length; ++i) {
var point = points[i];
var xval = point.xval;
if (cumulativeYval[xval] === undefined) {
cumulativeYval[xval] = 0;
}
var actualYval = point.yval;
if (isNaN(actualYval) || actualYval === null) {
if(fillMethod == 'none') {
actualYval = 0;
} else {
// Interpolate/extend for stacking purposes if possible.
updateNextPoint(i);
if (prevPoint && nextPoint && fillMethod != 'none') {
// Use linear interpolation between prevPoint and nextPoint.
actualYval = prevPoint.yval + (nextPoint.yval - prevPoint.yval) *
((xval - prevPoint.xval) / (nextPoint.xval - prevPoint.xval));
} else if (prevPoint && fillMethod == 'all') {
actualYval = prevPoint.yval;
} else if (nextPoint && fillMethod == 'all') {
actualYval = nextPoint.yval;
} else {
actualYval = 0;
}
}
} else {
prevPoint = point;
}
var stackedYval = cumulativeYval[xval];
if (lastXval != xval) {
// If an x-value is repeated, we ignore the duplicates.
stackedYval += actualYval;
cumulativeYval[xval] = stackedYval;
}
lastXval = xval;
point.yval_stacked = stackedYval;
if (stackedYval > seriesExtremes[1]) {
seriesExtremes[1] = stackedYval;
}
if (stackedYval < seriesExtremes[0]) {
seriesExtremes[0] = stackedYval;
}
}
};
/**
* Loop over all fields and create datasets, calculating extreme y-values for
* each series and extreme x-indices as we go.
*
* dateWindow is passed in as an explicit parameter so that we can compute
* extreme values "speculatively", i.e. without actually setting state on the
* dygraph.
*
* @param {Array.<Array.<Array.<(number|Array<number>)>>} rolledSeries, where
* rolledSeries[seriesIndex][row] = raw point, where
* seriesIndex is the column number starting with 1, and
* rawPoint is [x,y] or [x, [y, err]] or [x, [y, yminus, yplus]].
* @param {?Array.<number>} dateWindow [xmin, xmax] pair, or null.
* @return {{
* points: Array.<Array.<Dygraph.PointType>>,
* seriesExtremes: Array.<Array.<number>>,
* boundaryIds: Array.<number>}}
* @private
*/
Dygraph.prototype.gatherDatasets_ = function(rolledSeries, dateWindow) {
var boundaryIds = [];
var points = [];
var cumulativeYval = []; // For stacked series.
var extremes = {}; // series name -> [low, high]
var seriesIdx, sampleIdx;
var firstIdx, lastIdx;
var axisIdx;
// 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;
var series;
for (seriesIdx = num_series; seriesIdx >= 1; seriesIdx--) {
if (!this.visibility()[seriesIdx - 1]) continue;
// Prune down to the desired range, if necessary (for zooming)
// Because there can be lines going to points outside of the visible area,
// we actually prune to visible points, plus one on either side.
if (dateWindow) {
series = rolledSeries[seriesIdx];
var low = dateWindow[0];
var high = dateWindow[1];
// TODO(danvk): do binary search instead of linear search.
// TODO(danvk): pass firstIdx and lastIdx directly to the renderer.
firstIdx = null;
lastIdx = null;
for (sampleIdx = 0; sampleIdx < series.length; sampleIdx++) {
if (series[sampleIdx][0] >= low && firstIdx === null) {
firstIdx = sampleIdx;
}
if (series[sampleIdx][0] <= high) {
lastIdx = sampleIdx;
}
}
if (firstIdx === null) firstIdx = 0;
var correctedFirstIdx = firstIdx;
var isInvalidValue = true;
while (isInvalidValue && correctedFirstIdx > 0) {
correctedFirstIdx--;
// check if the y value is null.
isInvalidValue = series[correctedFirstIdx][1] === null;
}
if (lastIdx === null) lastIdx = series.length - 1;
var correctedLastIdx = lastIdx;
isInvalidValue = true;
while (isInvalidValue && correctedLastIdx < series.length - 1) {
correctedLastIdx++;
isInvalidValue = series[correctedLastIdx][1] === null;
}
if (correctedFirstIdx!==firstIdx) {
firstIdx = correctedFirstIdx;
}
if (correctedLastIdx !== lastIdx) {
lastIdx = correctedLastIdx;
}
boundaryIds[seriesIdx-1] = [firstIdx, lastIdx];
// .slice's end is exclusive, we want to include lastIdx.
series = series.slice(firstIdx, lastIdx + 1);
} else {
series = rolledSeries[seriesIdx];
boundaryIds[seriesIdx-1] = [0, series.length-1];
}
var seriesName = this.attr_("labels")[seriesIdx];
var seriesExtremes = this.dataHandler_.getExtremeYValues(series,
dateWindow, this.getBooleanOption("stepPlot",seriesName));
var seriesPoints = this.dataHandler_.seriesToPoints(series,
seriesName, boundaryIds[seriesIdx-1][0]);
if (this.getBooleanOption("stackedGraph")) {
axisIdx = this.attributes_.axisForSeries(seriesName);
if (cumulativeYval[axisIdx] === undefined) {
cumulativeYval[axisIdx] = [];
}
Dygraph.stackPoints_(seriesPoints, cumulativeYval[axisIdx], seriesExtremes,
this.getBooleanOption("stackedGraphNaNFill"));
}
extremes[seriesName] = seriesExtremes;
points[seriesIdx] = seriesPoints;
}
return { points: points, extremes: extremes, boundaryIds: boundaryIds };
};
/**
* Update the graph with new data. This method is called when the viewing area
* has changed. If the underlying data or options have changed, predraw_ will
* be called before drawGraph_ is called.
*
* @private
*/
Dygraph.prototype.drawGraph_ = function() {
var start = new Date();
// This is used to set the second parameter to drawCallback, below.
var is_initial_draw = this.is_initial_draw_;
this.is_initial_draw_ = false;
this.layout_.removeAllDatasets();
this.setColors_();
this.attrs_.pointSize = 0.5 * this.getNumericOption('highlightCircleSize');
var packed = this.gatherDatasets_(this.rolledSeries_, this.dateWindow_);
var points = packed.points;
var extremes = packed.extremes;
this.boundaryIds_ = packed.boundaryIds;
this.setIndexByName_ = {};
var labels = this.attr_("labels");
if (labels.length > 0) {
this.setIndexByName_[labels[0]] = 0;
}
var dataIdx = 0;
for (var i = 1; i < points.length; i++) {
this.setIndexByName_[labels[i]] = i;
if (!this.visibility()[i - 1]) continue;
this.layout_.addDataset(labels[i], points[i]);
this.datasetIndex_[i] = dataIdx++;
}
this.computeYAxisRanges_(extremes);
this.layout_.setYAxes(this.axes_);
this.addXTicks_();
// Save the X axis zoomed status as the updateOptions call will tend to set it erroneously
var tmp_zoomed_x = this.zoomed_x_;
// Tell PlotKit to use this new data and render itself
this.zoomed_x_ = tmp_zoomed_x;
this.layout_.evaluate();
this.renderGraph_(is_initial_draw);
if (this.getStringOption("timingName")) {
var end = new Date();
console.log(this.getStringOption("timingName") + " - drawGraph: " + (end - start) + "ms");
}
};
/**
* This does the work of drawing the chart. It assumes that the layout and axis
* scales have already been set (e.g. by predraw_).
*
* @private
*/
Dygraph.prototype.renderGraph_ = function(is_initial_draw) {
this.cascadeEvents_('clearChart');
this.plotter_.clear();
if (this.getFunctionOption('underlayCallback')) {
// NOTE: we pass the dygraph object to this callback twice to avoid breaking
// users who expect a deprecated form of this callback.
this.getFunctionOption('underlayCallback').call(this,
this.hidden_ctx_, this.layout_.getPlotArea(), this, this);
}
var e = {
canvas: this.hidden_,
drawingContext: this.hidden_ctx_
};
this.cascadeEvents_('willDrawChart', e);
this.plotter_.render();
this.cascadeEvents_('didDrawChart', e);
this.lastRow_ = -1; // because plugins/legend.js clears the legend
// TODO(danvk): is this a performance bottleneck when panning?
// The interaction canvas should already be empty in that situation.
this.canvas_.getContext('2d').clearRect(0, 0, this.width_, this.height_);
if (this.getFunctionOption("drawCallback") !== null) {
this.getFunctionOption("drawCallback").call(this, this, is_initial_draw);
}
if (is_initial_draw) {
this.readyFired_ = true;
while (this.readyFns_.length > 0) {
var fn = this.readyFns_.pop();
fn(this);
}
}
};
/**
* @private
* Determine properties of the y-axes which are independent of the data
* currently being displayed. This includes things like the number of axes and
* the style of the axes. It does not include the range of each axis and its
* tick marks.
* This fills in this.axes_.
* axes_ = [ { options } ]
* indices are into the axes_ array.
*/
Dygraph.prototype.computeYAxes_ = function() {
// Preserve valueWindow settings if they exist, and if the user hasn't
// specified a new valueRange.
var valueWindows, axis, index, opts, v;
if (this.axes_ !== undefined && this.user_attrs_.hasOwnProperty("valueRange") === false) {
valueWindows = [];
for (index = 0; index < this.axes_.length; index++) {
valueWindows.push(this.axes_[index].valueWindow);
}
}
// this.axes_ doesn't match this.attributes_.axes_.options. It's used for
// data computation as well as options storage.
// Go through once and add all the axes.
this.axes_ = [];
for (axis = 0; axis < this.attributes_.numAxes(); axis++) {
// Add a new axis, making a copy of its per-axis options.
opts = { g : this };
Dygraph.update(opts, this.attributes_.axisOptions(axis));
this.axes_[axis] = opts;
}
// Copy global valueRange option over to the first axis.
// NOTE(konigsberg): Are these two statements necessary?
// I tried removing it. The automated tests pass, and manually
// messing with tests/zoom.html showed no trouble.
v = this.attr_('valueRange');
if (v) this.axes_[0].valueRange = v;
if (valueWindows !== undefined) {
// Restore valueWindow settings.
// When going from two axes back to one, we only restore
// one axis.
var idxCount = Math.min(valueWindows.length, this.axes_.length);
for (index = 0; index < idxCount; index++) {
this.axes_[index].valueWindow = valueWindows[index];
}
}
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;
}
}
}
};
/**
* Returns the number of y-axes on the chart.
* @return {number} the number of axes.
*/
Dygraph.prototype.numAxes = function() {
return this.attributes_.numAxes();
};
/**
* @private
* Returns axis properties for the given series.
* @param {string} setName The name of the series for which to get axis
* properties, e.g. 'Y1'.
* @return {Object} The axis properties.
*/
Dygraph.prototype.axisPropertiesForSeries = function(series) {
// TODO(danvk): handle errors.
return this.axes_[this.attributes_.axisForSeries(series)];
};
/**
* @private
* Determine the value range and tick marks for each axis.
* @param {Object} extremes A mapping from seriesName -> [low, high]
* This fills in the valueRange and ticks fields in each entry of this.axes_.
*/
Dygraph.prototype.computeYAxisRanges_ = function(extremes) {
var isNullUndefinedOrNaN = function(num) {
return isNaN(parseFloat(num));
};
var numAxes = this.attributes_.numAxes();
var ypadCompat, span, series, ypad;
var p_axis;
// Compute extreme values, a span and tick marks for each axis.
for (var i = 0; i < numAxes; i++) {
var axis = this.axes_[i];
var logscale = this.attributes_.getForAxis("logscale", i);
var includeZero = this.attributes_.getForAxis("includeZero", i);
var independentTicks = this.attributes_.getForAxis("independentTicks", i);
series = this.attributes_.seriesForAxis(i);
// Add some padding. This supports two Y padding operation modes:
//
// - backwards compatible (yRangePad not set):
// 10% padding for automatic Y ranges, but not for user-supplied
// ranges, and move a close-to-zero edge to zero except if
// avoidMinZero is set, since drawing at the edge results in
// invisible lines. Unfortunately lines drawn at the edge of a
// user-supplied range will still be invisible. If logscale is
// set, add a variable amount of padding at the top but
// none at the bottom.
//
// - new-style (yRangePad set by the user):
// always add the specified Y padding.
//
ypadCompat = true;
ypad = 0.1; // add 10%
if (this.getNumericOption('yRangePad') !== null) {
ypadCompat = false;
// Convert pixel padding to ratio
ypad = this.getNumericOption('yRangePad') / this.plotter_.area.h;
}
if (series.length === 0) {
// If no series are defined or visible then use a reasonable default
axis.extremeRange = [0, 1];
} else {
// Calculate the extremes of extremes.
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) {
minY = Math.min(extremeMinY, minY);
}
extremeMaxY = extremes[series[j]][1];
if (extremeMaxY !== null) {
maxY = Math.max(extremeMaxY, maxY);
}
}
// Include zero if requested by the user.
if (includeZero && !logscale) {
if (minY > 0) minY = 0;
if (maxY < 0) maxY = 0;
}
// Ensure we have a valid scale, otherwise default to [0, 1] for safety.
if (minY == Infinity) minY = 0;
if (maxY == -Infinity) maxY = 1;
span = maxY - minY;
// special case: if we have no sense of scale, center on the sole value.
if (span === 0) {
if (maxY !== 0) {
span = Math.abs(maxY);
} else {
// ... and if the sole value is zero, use range 0-1.
maxY = 1;
span = 1;
}
}
var maxAxisY, minAxisY;
if (logscale) {
if (ypadCompat) {
maxAxisY = maxY + ypad * span;
minAxisY = minY;
} else {
var logpad = Math.exp(Math.log(span) * ypad);
maxAxisY = maxY * logpad;
minAxisY = minY / logpad;
}
} else {
maxAxisY = maxY + ypad * span;
minAxisY = minY - ypad * span;
// Backwards-compatible behavior: Move the span to start or end at zero if it's
// close to zero, but not if avoidMinZero is set.
if (ypadCompat && !this.getBooleanOption("avoidMinZero")) {
if (minAxisY < 0 && minY >= 0) minAxisY = 0;
if (maxAxisY > 0 && maxY <= 0) maxAxisY = 0;
}
}
axis.extremeRange = [minAxisY, maxAxisY];
}
if (axis.valueWindow) {
// This is only set if the user has zoomed on the y-axis. It is never set
// by a user. It takes precedence over axis.valueRange because, if you set
// valueRange, you'd still expect to be able to pan.
axis.computedValueRange = [axis.valueWindow[0], axis.valueWindow[1]];
} else if (axis.valueRange) {
// This is a user-set value range for this axis.
var y0 = isNullUndefinedOrNaN(axis.valueRange[0]) ? axis.extremeRange[0] : axis.valueRange[0];
var y1 = isNullUndefinedOrNaN(axis.valueRange[1]) ? axis.extremeRange[1] : axis.valueRange[1];
if (!ypadCompat) {
if (axis.logscale) {
var logpad = Math.exp(Math.log(span) * ypad);
y0 *= logpad;
y1 /= logpad;
} else {
span = y1 - y0;
y0 -= span * ypad;
y1 += span * ypad;
}
}
axis.computedValueRange = [y0, y1];
} else {
axis.computedValueRange = axis.extremeRange;
}
if (independentTicks) {
axis.independentTicks = independentTicks;
var opts = this.optionsViewForAxis_('y' + (i ? '2' : ''));
var ticker = opts('ticker');
axis.ticks = ticker(axis.computedValueRange[0],
axis.computedValueRange[1],
this.plotter_.area.h,
opts,
this);
// Define the first independent axis as primary axis.
if (!p_axis) p_axis = axis;
}
}
if (p_axis === undefined) {
throw ("Configuration Error: At least one axis has to have the \"independentTicks\" option activated.");
}
// Add ticks. By default, all axes inherit the tick positions of the
// primary axis. However, if an axis is specifically marked as having
// independent ticks, then that is permissible as well.
for (var i = 0; i < numAxes; i++) {
var axis = this.axes_[i];
if (!axis.independentTicks) {
var opts = this.optionsViewForAxis_('y' + (i ? '2' : ''));
var ticker = opts('ticker');
var p_ticks = p_axis.ticks;
var p_scale = p_axis.computedValueRange[1] - p_axis.computedValueRange[0];
var scale = axis.computedValueRange[1] - axis.computedValueRange[0];
var tick_values = [];
for (var k = 0; k < p_ticks.length; k++) {
var y_frac = (p_ticks[k].v - p_axis.computedValueRange[0]) / p_scale;
var y_val = axis.computedValueRange[0] + y_frac * scale;
tick_values.push(y_val);
}
axis.ticks = ticker(axis.computedValueRange[0],
axis.computedValueRange[1],
this.plotter_.area.h,
opts,
this,
tick_values);
}
}
};
/**
* Detects the type of the str (date or numeric) and sets the various
* formatting attributes in this.attrs_ based on this type.
* @param {string} str An x value.
* @private
*/
Dygraph.prototype.detectTypeFromString_ = function(str) {
var isDate = false;
var dashPos = str.indexOf('-'); // could be 2006-01-01 _or_ 1.0e-2
if ((dashPos > 0 && (str[dashPos-1] != 'e' && str[dashPos-1] != 'E')) ||
str.indexOf('/') >= 0 ||
isNaN(parseFloat(str))) {
isDate = true;
} else if (str.length == 8 && str > '19700101' && str < '20371231') {
// TODO(danvk): remove support for this format.
isDate = true;
}
this.setXAxisOptions_(isDate);