| 1 | // Copyright 2006 Dan Vanderkam (danvdk@gmail.com) |
| 2 | // All Rights Reserved. |
| 3 | |
| 4 | /** |
| 5 | * @fileoverview Creates an interactive, zoomable graph based on a CSV file or |
| 6 | * string. DateGraph can handle multiple series with or without error bars. The |
| 7 | * date/value ranges will be automatically set. DateGraph uses the |
| 8 | * <canvas> tag, so it only works in FF1.5+. |
| 9 | * @author danvdk@gmail.com (Dan Vanderkam) |
| 10 | |
| 11 | Usage: |
| 12 | <div id="graphdiv" style="width:800px; height:500px;"></div> |
| 13 | <script type="text/javascript"> |
| 14 | new DateGraph(document.getElementById("graphdiv"), |
| 15 | "datafile.csv", |
| 16 | ["Series 1", "Series 2"], |
| 17 | { }); // options |
| 18 | </script> |
| 19 | |
| 20 | The CSV file is of the form |
| 21 | |
| 22 | YYYYMMDD,A1,B1,C1 |
| 23 | YYYYMMDD,A2,B2,C2 |
| 24 | |
| 25 | If null is passed as the third parameter (series names), then the first line |
| 26 | of the CSV file is assumed to contain names for each series. |
| 27 | |
| 28 | If the 'errorBars' option is set in the constructor, the input should be of |
| 29 | the form |
| 30 | |
| 31 | YYYYMMDD,A1,sigmaA1,B1,sigmaB1,... |
| 32 | YYYYMMDD,A2,sigmaA2,B2,sigmaB2,... |
| 33 | |
| 34 | If the 'fractions' option is set, the input should be of the form: |
| 35 | |
| 36 | YYYYMMDD,A1/B1,A2/B2,... |
| 37 | YYYYMMDD,A1/B1,A2/B2,... |
| 38 | |
| 39 | And error bars will be calculated automatically using a binomial distribution. |
| 40 | |
| 41 | For further documentation and examples, see http://www/~danvk/dg/ |
| 42 | |
| 43 | */ |
| 44 | |
| 45 | /** |
| 46 | * An interactive, zoomable graph |
| 47 | * @param {String | Function} file A file containing CSV data or a function that |
| 48 | * returns this data. The expected format for each line is |
| 49 | * YYYYMMDD,val1,val2,... or, if attrs.errorBars is set, |
| 50 | * YYYYMMDD,val1,stddev1,val2,stddev2,... |
| 51 | * @param {Array.<String>} labels Labels for the data series |
| 52 | * @param {Object} attrs Various other attributes, e.g. errorBars determines |
| 53 | * whether the input data contains error ranges. |
| 54 | */ |
| 55 | DateGraph = function(div, file, labels, attrs) { |
| 56 | if (arguments.length > 0) |
| 57 | this.__init__(div, file, labels, attrs); |
| 58 | }; |
| 59 | |
| 60 | DateGraph.NAME = "DateGraph"; |
| 61 | DateGraph.VERSION = "1.1"; |
| 62 | DateGraph.__repr__ = function() { |
| 63 | return "[" + this.NAME + " " + this.VERSION + "]"; |
| 64 | }; |
| 65 | DateGraph.toString = function() { |
| 66 | return this.__repr__(); |
| 67 | }; |
| 68 | |
| 69 | // Various default values |
| 70 | DateGraph.DEFAULT_ROLL_PERIOD = 1; |
| 71 | DateGraph.DEFAULT_WIDTH = 480; |
| 72 | DateGraph.DEFAULT_HEIGHT = 320; |
| 73 | DateGraph.DEFAULT_STROKE_WIDTH = 1.0; |
| 74 | DateGraph.AXIS_LINE_WIDTH = 0.3; |
| 75 | |
| 76 | /** |
| 77 | * Initializes the DateGraph. This creates a new DIV and constructs the PlotKit |
| 78 | * and interaction <canvas> inside of it. See the constructor for details |
| 79 | * on the parameters. |
| 80 | * @param {String | Function} file Source data |
| 81 | * @param {Array.<String>} labels Names of the data series |
| 82 | * @param {Object} attrs Miscellaneous other options |
| 83 | * @private |
| 84 | */ |
| 85 | DateGraph.prototype.__init__ = function(div, file, labels, attrs) { |
| 86 | // Copy the important bits into the object |
| 87 | this.maindiv_ = div; |
| 88 | this.labels_ = labels; |
| 89 | this.file_ = file; |
| 90 | this.rollPeriod_ = attrs.rollPeriod || DateGraph.DEFAULT_ROLL_PERIOD; |
| 91 | this.previousVerticalX_ = -1; |
| 92 | this.width_ = parseInt(div.style.width, 10); |
| 93 | this.height_ = parseInt(div.style.height, 10); |
| 94 | this.errorBars_ = attrs.errorBars || false; |
| 95 | this.fractions_ = attrs.fractions || false; |
| 96 | this.strokeWidth_ = attrs.strokeWidth || DateGraph.DEFAULT_STROKE_WIDTH; |
| 97 | this.dateWindow_ = attrs.dateWindow || null; |
| 98 | this.valueRange_ = attrs.valueRange || null; |
| 99 | this.labelsSeparateLines = attrs.labelsSeparateLines || false; |
| 100 | this.labelsDiv_ = attrs.labelsDiv || null; |
| 101 | this.labelsKMB_ = attrs.labelsKMB || false; |
| 102 | this.minTickSize_ = attrs.minTickSize || 0; |
| 103 | this.xValueParser_ = attrs.xValueParser || DateGraph.prototype.dateParser; |
| 104 | this.xValueFormatter_ = attrs.xValueFormatter || |
| 105 | DateGraph.prototype.dateString_; |
| 106 | this.xTicker_ = attrs.xTicker || DateGraph.prototype.dateTicker; |
| 107 | this.sigma_ = attrs.sigma || 2.0; |
| 108 | this.wilsonInterval_ = attrs.wilsonInterval || true; |
| 109 | this.customBars_ = attrs.customBars || false; |
| 110 | this.attrs_ = attrs; |
| 111 | |
| 112 | // Make a note of whether labels will be pulled from the CSV file. |
| 113 | this.labelsFromCSV_ = (this.labels_ == null); |
| 114 | if (this.labels_ == null) |
| 115 | this.labels_ = []; |
| 116 | |
| 117 | // Prototype of the callback is "void clickCallback(event, date)" |
| 118 | this.clickCallback_ = attrs.clickCallback || null; |
| 119 | |
| 120 | // Prototype of zoom callback is "void dragCallback(minDate, maxDate)" |
| 121 | this.zoomCallback_ = attrs.zoomCallback || null; |
| 122 | |
| 123 | // Create the containing DIV and other interactive elements |
| 124 | this.createInterface_(); |
| 125 | |
| 126 | // Create the PlotKit grapher |
| 127 | this.layoutOptions_ = { 'errorBars': (this.errorBars_ || this.customBars_), |
| 128 | 'xOriginIsZero': false }; |
| 129 | MochiKit.Base.update(this.layoutOptions_, attrs); |
| 130 | this.setColors_(attrs); |
| 131 | |
| 132 | this.layout_ = new DateGraphLayout(this.layoutOptions_); |
| 133 | |
| 134 | this.renderOptions_ = { colorScheme: this.colors_, |
| 135 | strokeColor: null, |
| 136 | strokeWidth: this.strokeWidth_, |
| 137 | axisLabelFontSize: 14, |
| 138 | axisLineWidth: DateGraph.AXIS_LINE_WIDTH }; |
| 139 | MochiKit.Base.update(this.renderOptions_, attrs); |
| 140 | this.plotter_ = new DateGraphCanvasRenderer(this.hidden_, this.layout_, |
| 141 | this.renderOptions_); |
| 142 | |
| 143 | this.createStatusMessage_(); |
| 144 | this.createRollInterface_(); |
| 145 | this.createDragInterface_(); |
| 146 | |
| 147 | connect(window, 'onload', this, function(e) { this.start_(); }); |
| 148 | }; |
| 149 | |
| 150 | /** |
| 151 | * Returns the current rolling period, as set by the user or an option. |
| 152 | * @return {Number} The number of days in the rolling window |
| 153 | */ |
| 154 | DateGraph.prototype.rollPeriod = function() { |
| 155 | return this.rollPeriod_; |
| 156 | } |
| 157 | |
| 158 | /** |
| 159 | * Generates interface elements for the DateGraph: a containing div, a div to |
| 160 | * display the current point, and a textbox to adjust the rolling average |
| 161 | * period. |
| 162 | * @private |
| 163 | */ |
| 164 | DateGraph.prototype.createInterface_ = function() { |
| 165 | // Create the all-enclosing graph div |
| 166 | var enclosing = this.maindiv_; |
| 167 | |
| 168 | this.graphDiv = MochiKit.DOM.DIV( { style: { 'width': this.width_ + "px", |
| 169 | 'height': this.height_ + "px" |
| 170 | }}); |
| 171 | appendChildNodes(enclosing, this.graphDiv); |
| 172 | |
| 173 | // Create the canvas to store |
| 174 | var canvas = MochiKit.DOM.CANVAS; |
| 175 | this.canvas_ = canvas( { style: { 'position': 'absolute' }, |
| 176 | width: this.width_, |
| 177 | height: this.height_}); |
| 178 | appendChildNodes(this.graphDiv, this.canvas_); |
| 179 | |
| 180 | this.hidden_ = this.createPlotKitCanvas_(this.canvas_); |
| 181 | connect(this.hidden_, 'onmousemove', this, function(e) { this.mouseMove_(e) }); |
| 182 | connect(this.hidden_, 'onmouseout', this, function(e) { this.mouseOut_(e) }); |
| 183 | } |
| 184 | |
| 185 | /** |
| 186 | * Creates the canvas containing the PlotKit graph. Only plotkit ever draws on |
| 187 | * this particular canvas. All DateGraph work is done on this.canvas_. |
| 188 | * @param {Object} canvas The DateGraph canvas to over which to overlay the plot |
| 189 | * @return {Object} The newly-created canvas |
| 190 | * @private |
| 191 | */ |
| 192 | DateGraph.prototype.createPlotKitCanvas_ = function(canvas) { |
| 193 | var h = document.createElement("canvas"); |
| 194 | h.style.position = "absolute"; |
| 195 | h.style.top = canvas.style.top; |
| 196 | h.style.left = canvas.style.left; |
| 197 | h.width = this.width_; |
| 198 | h.height = this.height_; |
| 199 | MochiKit.DOM.appendChildNodes(this.graphDiv, h); |
| 200 | return h; |
| 201 | }; |
| 202 | |
| 203 | /** |
| 204 | * Generate a set of distinct colors for the data series. This is done with a |
| 205 | * color wheel. Saturation/Value are customizable, and the hue is |
| 206 | * equally-spaced around the color wheel. If a custom set of colors is |
| 207 | * specified, that is used instead. |
| 208 | * @param {Object} attrs Various attributes, e.g. saturation and value |
| 209 | * @private |
| 210 | */ |
| 211 | DateGraph.prototype.setColors_ = function(attrs) { |
| 212 | var num = this.labels_.length; |
| 213 | this.colors_ = []; |
| 214 | if (!attrs.colors) { |
| 215 | var sat = attrs.colorSaturation || 1.0; |
| 216 | var val = attrs.colorValue || 0.5; |
| 217 | for (var i = 1; i <= num; i++) { |
| 218 | var hue = (1.0*i/(1+num)); |
| 219 | this.colors_.push( MochiKit.Color.Color.fromHSV(hue, sat, val) ); |
| 220 | } |
| 221 | } else { |
| 222 | for (var i = 0; i < num; i++) { |
| 223 | var colorStr = attrs.colors[i % attrs.colors.length]; |
| 224 | this.colors_.push( MochiKit.Color.Color.fromString(colorStr) ); |
| 225 | } |
| 226 | } |
| 227 | } |
| 228 | |
| 229 | /** |
| 230 | * Create the div that contains information on the selected point(s) |
| 231 | * This goes in the top right of the canvas, unless an external div has already |
| 232 | * been specified. |
| 233 | * @private |
| 234 | */ |
| 235 | DateGraph.prototype.createStatusMessage_ = function(){ |
| 236 | if (!this.labelsDiv_) { |
| 237 | var divWidth = 250; |
| 238 | var messagestyle = { "style": { |
| 239 | "position": "absolute", |
| 240 | "fontSize": "14px", |
| 241 | "zIndex": 10, |
| 242 | "width": divWidth + "px", |
| 243 | "top": "0px", |
| 244 | "left": this.width_ - divWidth + "px", |
| 245 | "background": "white", |
| 246 | "textAlign": "left", |
| 247 | "overflow": "hidden"}}; |
| 248 | this.labelsDiv_ = MochiKit.DOM.DIV(messagestyle); |
| 249 | MochiKit.DOM.appendChildNodes(this.graphDiv, this.labelsDiv_); |
| 250 | } |
| 251 | }; |
| 252 | |
| 253 | /** |
| 254 | * Create the text box to adjust the averaging period |
| 255 | * @return {Object} The newly-created text box |
| 256 | * @private |
| 257 | */ |
| 258 | DateGraph.prototype.createRollInterface_ = function() { |
| 259 | var padding = this.plotter_.options.padding; |
| 260 | var textAttr = { "type": "text", |
| 261 | "size": "2", |
| 262 | "value": this.rollPeriod_, |
| 263 | "style": { "position": "absolute", |
| 264 | "zIndex": 10, |
| 265 | "top": (this.height_ - 25 - padding.bottom) + "px", |
| 266 | "left": (padding.left+1) + "px" } |
| 267 | }; |
| 268 | var roller = MochiKit.DOM.INPUT(textAttr); |
| 269 | var pa = this.graphDiv; |
| 270 | MochiKit.DOM.appendChildNodes(pa, roller); |
| 271 | connect(roller, 'onchange', this, |
| 272 | function() { this.adjustRoll(roller.value); }); |
| 273 | return roller; |
| 274 | } |
| 275 | |
| 276 | /** |
| 277 | * Set up all the mouse handlers needed to capture dragging behavior for zoom |
| 278 | * events. Uses MochiKit.Signal to attach all the event handlers. |
| 279 | * @private |
| 280 | */ |
| 281 | DateGraph.prototype.createDragInterface_ = function() { |
| 282 | var self = this; |
| 283 | |
| 284 | // Tracks whether the mouse is down right now |
| 285 | var mouseDown = false; |
| 286 | var dragStartX = null; |
| 287 | var dragStartY = null; |
| 288 | var dragEndX = null; |
| 289 | var dragEndY = null; |
| 290 | var prevEndX = null; |
| 291 | |
| 292 | // Utility function to convert page-wide coordinates to canvas coords |
| 293 | var px = PlotKit.Base.findPosX(this.canvas_); |
| 294 | var py = PlotKit.Base.findPosY(this.canvas_); |
| 295 | var getX = function(e) { return e.mouse().page.x - px }; |
| 296 | var getY = function(e) { return e.mouse().page.y - py }; |
| 297 | |
| 298 | // Draw zoom rectangles when the mouse is down and the user moves around |
| 299 | connect(this.hidden_, 'onmousemove', function(event) { |
| 300 | if (mouseDown) { |
| 301 | dragEndX = getX(event); |
| 302 | dragEndY = getY(event); |
| 303 | |
| 304 | self.drawZoomRect_(dragStartX, dragEndX, prevEndX); |
| 305 | prevEndX = dragEndX; |
| 306 | } |
| 307 | }); |
| 308 | |
| 309 | // Track the beginning of drag events |
| 310 | connect(this.hidden_, 'onmousedown', function(event) { |
| 311 | mouseDown = true; |
| 312 | dragStartX = getX(event); |
| 313 | dragStartY = getY(event); |
| 314 | }); |
| 315 | |
| 316 | // If the user releases the mouse button during a drag, but not over the |
| 317 | // canvas, then it doesn't count as a zooming action. |
| 318 | connect(document, 'onmouseup', this, function(event) { |
| 319 | if (mouseDown) { |
| 320 | mouseDown = false; |
| 321 | dragStartX = null; |
| 322 | dragStartY = null; |
| 323 | } |
| 324 | }); |
| 325 | |
| 326 | // Temporarily cancel the dragging event when the mouse leaves the graph |
| 327 | connect(this.hidden_, 'onmouseout', this, function(event) { |
| 328 | if (mouseDown) { |
| 329 | dragEndX = null; |
| 330 | dragEndY = null; |
| 331 | } |
| 332 | }); |
| 333 | |
| 334 | // If the mouse is released on the canvas during a drag event, then it's a |
| 335 | // zoom. Only do the zoom if it's over a large enough area (>= 10 pixels) |
| 336 | connect(this.hidden_, 'onmouseup', this, function(event) { |
| 337 | if (mouseDown) { |
| 338 | mouseDown = false; |
| 339 | dragEndX = getX(event); |
| 340 | dragEndY = getY(event); |
| 341 | var regionWidth = Math.abs(dragEndX - dragStartX); |
| 342 | var regionHeight = Math.abs(dragEndY - dragStartY); |
| 343 | |
| 344 | if (regionWidth < 2 && regionHeight < 2 && |
| 345 | self.clickCallback_ != null && |
| 346 | self.lastx_ != undefined) { |
| 347 | self.clickCallback_(event, new Date(self.lastx_)); |
| 348 | } |
| 349 | |
| 350 | if (regionWidth >= 10) { |
| 351 | self.doZoom_(Math.min(dragStartX, dragEndX), |
| 352 | Math.max(dragStartX, dragEndX)); |
| 353 | } else { |
| 354 | self.canvas_.getContext("2d").clearRect(0, 0, |
| 355 | self.canvas_.width, |
| 356 | self.canvas_.height); |
| 357 | } |
| 358 | |
| 359 | dragStartX = null; |
| 360 | dragStartY = null; |
| 361 | } |
| 362 | }); |
| 363 | |
| 364 | // Double-clicking zooms back out |
| 365 | connect(this.hidden_, 'ondblclick', this, function(event) { |
| 366 | self.dateWindow_ = null; |
| 367 | self.drawGraph_(self.rawData_); |
| 368 | var minDate = self.rawData_[0][0]; |
| 369 | var maxDate = self.rawData_[self.rawData_.length - 1][0]; |
| 370 | self.zoomCallback_(minDate, maxDate); |
| 371 | }); |
| 372 | }; |
| 373 | |
| 374 | /** |
| 375 | * Draw a gray zoom rectangle over the desired area of the canvas. Also clears |
| 376 | * up any previous zoom rectangles that were drawn. This could be optimized to |
| 377 | * avoid extra redrawing, but it's tricky to avoid interactions with the status |
| 378 | * dots. |
| 379 | * @param {Number} startX The X position where the drag started, in canvas |
| 380 | * coordinates. |
| 381 | * @param {Number} endX The current X position of the drag, in canvas coords. |
| 382 | * @param {Number} prevEndX The value of endX on the previous call to this |
| 383 | * function. Used to avoid excess redrawing |
| 384 | * @private |
| 385 | */ |
| 386 | DateGraph.prototype.drawZoomRect_ = function(startX, endX, prevEndX) { |
| 387 | var ctx = this.canvas_.getContext("2d"); |
| 388 | |
| 389 | // Clean up from the previous rect if necessary |
| 390 | if (prevEndX) { |
| 391 | ctx.clearRect(Math.min(startX, prevEndX), 0, |
| 392 | Math.abs(startX - prevEndX), this.height_); |
| 393 | } |
| 394 | |
| 395 | // Draw a light-grey rectangle to show the new viewing area |
| 396 | if (endX && startX) { |
| 397 | ctx.fillStyle = "rgba(128,128,128,0.33)"; |
| 398 | ctx.fillRect(Math.min(startX, endX), 0, |
| 399 | Math.abs(endX - startX), this.height_); |
| 400 | } |
| 401 | }; |
| 402 | |
| 403 | /** |
| 404 | * Zoom to something containing [lowX, highX]. These are pixel coordinates |
| 405 | * in the canvas. The exact zoom window may be slightly larger if there are no |
| 406 | * data points near lowX or highX. This function redraws the graph. |
| 407 | * @param {Number} lowX The leftmost pixel value that should be visible. |
| 408 | * @param {Number} highX The rightmost pixel value that should be visible. |
| 409 | * @private |
| 410 | */ |
| 411 | DateGraph.prototype.doZoom_ = function(lowX, highX) { |
| 412 | // Find the earliest and latest dates contained in this canvasx range. |
| 413 | var points = this.layout_.points; |
| 414 | var minDate = null; |
| 415 | var maxDate = null; |
| 416 | // Find the nearest [minDate, maxDate] that contains [lowX, highX] |
| 417 | for (var i = 0; i < points.length; i++) { |
| 418 | var cx = points[i].canvasx; |
| 419 | var x = points[i].xval; |
| 420 | if (cx < lowX && (minDate == null || x > minDate)) minDate = x; |
| 421 | if (cx > highX && (maxDate == null || x < maxDate)) maxDate = x; |
| 422 | } |
| 423 | // Use the extremes if either is missing |
| 424 | if (minDate == null) minDate = points[0].xval; |
| 425 | if (maxDate == null) maxDate = points[points.length-1].xval; |
| 426 | |
| 427 | this.dateWindow_ = [minDate, maxDate]; |
| 428 | this.drawGraph_(this.rawData_); |
| 429 | this.zoomCallback_(minDate, maxDate); |
| 430 | }; |
| 431 | |
| 432 | /** |
| 433 | * When the mouse moves in the canvas, display information about a nearby data |
| 434 | * point and draw dots over those points in the data series. This function |
| 435 | * takes care of cleanup of previously-drawn dots. |
| 436 | * @param {Object} event The mousemove event from the browser. |
| 437 | * @private |
| 438 | */ |
| 439 | DateGraph.prototype.mouseMove_ = function(event) { |
| 440 | var canvasx = event.mouse().page.x - PlotKit.Base.findPosX(this.hidden_); |
| 441 | var points = this.layout_.points; |
| 442 | |
| 443 | var lastx = -1; |
| 444 | var lasty = -1; |
| 445 | |
| 446 | // Loop through all the points and find the date nearest to our current |
| 447 | // location. |
| 448 | var minDist = 1e+100; |
| 449 | var idx = -1; |
| 450 | for (var i = 0; i < points.length; i++) { |
| 451 | var dist = Math.abs(points[i].canvasx - canvasx); |
| 452 | if (dist > minDist) break; |
| 453 | minDist = dist; |
| 454 | idx = i; |
| 455 | } |
| 456 | if (idx >= 0) lastx = points[idx].xval; |
| 457 | // Check that you can really highlight the last day's data |
| 458 | if (canvasx > points[points.length-1].canvasx) |
| 459 | lastx = points[points.length-1].xval; |
| 460 | |
| 461 | // Extract the points we've selected |
| 462 | var selPoints = []; |
| 463 | for (var i = 0; i < points.length; i++) { |
| 464 | if (points[i].xval == lastx) { |
| 465 | selPoints.push(points[i]); |
| 466 | } |
| 467 | } |
| 468 | |
| 469 | // Clear the previously drawn vertical, if there is one |
| 470 | var circleSize = 3; |
| 471 | var ctx = this.canvas_.getContext("2d"); |
| 472 | if (this.previousVerticalX_ >= 0) { |
| 473 | var px = this.previousVerticalX_; |
| 474 | ctx.clearRect(px - circleSize - 1, 0, 2 * circleSize + 2, this.height_); |
| 475 | } |
| 476 | |
| 477 | if (selPoints.length > 0) { |
| 478 | var canvasx = selPoints[0].canvasx; |
| 479 | |
| 480 | // Set the status message to indicate the selected point(s) |
| 481 | var replace = this.xValueFormatter_(lastx) + ":"; |
| 482 | var clen = this.colors_.length; |
| 483 | for (var i = 0; i < selPoints.length; i++) { |
| 484 | if (this.labelsSeparateLines) { |
| 485 | replace += "<br/>"; |
| 486 | } |
| 487 | var point = selPoints[i]; |
| 488 | replace += " <b><font color='" + this.colors_[i%clen].toHexString() + "'>" |
| 489 | + point.name + "</font></b>:" |
| 490 | + this.round_(point.yval, 2); |
| 491 | } |
| 492 | this.labelsDiv_.innerHTML = replace; |
| 493 | |
| 494 | // Save last x position for callbacks. |
| 495 | this.lastx_ = lastx; |
| 496 | |
| 497 | // Draw colored circles over the center of each selected point |
| 498 | ctx.save() |
| 499 | for (var i = 0; i < selPoints.length; i++) { |
| 500 | ctx.beginPath(); |
| 501 | ctx.fillStyle = this.colors_[i%clen].toRGBString(); |
| 502 | ctx.arc(canvasx, selPoints[i%clen].canvasy, circleSize, 0, 360, false); |
| 503 | ctx.fill(); |
| 504 | } |
| 505 | ctx.restore(); |
| 506 | |
| 507 | this.previousVerticalX_ = canvasx; |
| 508 | } |
| 509 | }; |
| 510 | |
| 511 | /** |
| 512 | * The mouse has left the canvas. Clear out whatever artifacts remain |
| 513 | * @param {Object} event the mouseout event from the browser. |
| 514 | * @private |
| 515 | */ |
| 516 | DateGraph.prototype.mouseOut_ = function(event) { |
| 517 | // Get rid of the overlay data |
| 518 | var ctx = this.canvas_.getContext("2d"); |
| 519 | ctx.clearRect(0, 0, this.width_, this.height_); |
| 520 | this.labelsDiv_.innerHTML = ""; |
| 521 | }; |
| 522 | |
| 523 | /** |
| 524 | * Convert a JS date (millis since epoch) to YYYY/MM/DD |
| 525 | * @param {Number} date The JavaScript date (ms since epoch) |
| 526 | * @return {String} A date of the form "YYYY/MM/DD" |
| 527 | * @private |
| 528 | */ |
| 529 | DateGraph.prototype.dateString_ = function(date) { |
| 530 | var d = new Date(date); |
| 531 | |
| 532 | // Get the year: |
| 533 | var year = "" + d.getFullYear(); |
| 534 | // Get a 0 padded month string |
| 535 | var month = "" + (d.getMonth() + 1); //months are 0-offset, sigh |
| 536 | if (month.length < 2) month = "0" + month; |
| 537 | // Get a 0 padded day string |
| 538 | var day = "" + d.getDate(); |
| 539 | if (day.length < 2) day = "0" + day; |
| 540 | |
| 541 | return year + "/" + month + "/" + day; |
| 542 | }; |
| 543 | |
| 544 | /** |
| 545 | * Round a number to the specified number of digits past the decimal point. |
| 546 | * @param {Number} num The number to round |
| 547 | * @param {Number} places The number of decimals to which to round |
| 548 | * @return {Number} The rounded number |
| 549 | * @private |
| 550 | */ |
| 551 | DateGraph.prototype.round_ = function(num, places) { |
| 552 | var shift = Math.pow(10, places); |
| 553 | return Math.round(num * shift)/shift; |
| 554 | }; |
| 555 | |
| 556 | /** |
| 557 | * Fires when there's data available to be graphed. |
| 558 | * @param {String} data Raw CSV data to be plotted |
| 559 | * @private |
| 560 | */ |
| 561 | DateGraph.prototype.loadedEvent_ = function(data) { |
| 562 | this.rawData_ = this.parseCSV_(data); |
| 563 | this.drawGraph_(this.rawData_); |
| 564 | }; |
| 565 | |
| 566 | DateGraph.prototype.months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", |
| 567 | "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]; |
| 568 | DateGraph.prototype.quarters = ["Jan", "Apr", "Jul", "Oct"]; |
| 569 | |
| 570 | /** |
| 571 | * Add ticks on the x-axis representing years, months, quarters, weeks, or days |
| 572 | * @private |
| 573 | */ |
| 574 | DateGraph.prototype.addXTicks_ = function() { |
| 575 | // Determine the correct ticks scale on the x-axis: quarterly, monthly, ... |
| 576 | var startDate, endDate; |
| 577 | if (this.dateWindow_) { |
| 578 | startDate = this.dateWindow_[0]; |
| 579 | endDate = this.dateWindow_[1]; |
| 580 | } else { |
| 581 | startDate = this.rawData_[0][0]; |
| 582 | endDate = this.rawData_[this.rawData_.length - 1][0]; |
| 583 | } |
| 584 | |
| 585 | var xTicks = this.xTicker_(startDate, endDate); |
| 586 | this.layout_.updateOptions({xTicks: xTicks}); |
| 587 | } |
| 588 | |
| 589 | /** |
| 590 | * Add ticks to the x-axis based on a date range. |
| 591 | * @param {Number} startDate Start of the date window (millis since epoch) |
| 592 | * @param {Number} endDate End of the date window (millis since epoch) |
| 593 | * @return {Array.<Object>} Array of {label, value} tuples. |
| 594 | * @public |
| 595 | */ |
| 596 | DateGraph.prototype.dateTicker = function(startDate, endDate) { |
| 597 | var ONE_DAY = 24*60*60*1000; |
| 598 | startDate = startDate / ONE_DAY; |
| 599 | endDate = endDate / ONE_DAY; |
| 600 | var dateSpan = endDate - startDate; |
| 601 | |
| 602 | var scale = []; |
| 603 | var isMonthly = false; |
| 604 | var yearMod = 1; |
| 605 | if (dateSpan > 30 * 366) { // decadal |
| 606 | isMonthly = true; |
| 607 | scale = ["Jan"]; |
| 608 | yearMod = 10; |
| 609 | } else if (dateSpan > 4*366) { // annual |
| 610 | scale = ["Jan"]; |
| 611 | isMonthly = true; |
| 612 | } else if (dateSpan > 366) { // quarterly |
| 613 | scale = this.quarters; |
| 614 | isMonthly = true; |
| 615 | } else if (dateSpan > 40) { // monthly |
| 616 | scale = this.months; |
| 617 | isMonthly = true; |
| 618 | } else if (dateSpan > 10) { // weekly |
| 619 | for (var week = startDate - 14; week < endDate + 14; week += 7) { |
| 620 | scale.push(week * ONE_DAY); |
| 621 | } |
| 622 | } else { // daily |
| 623 | for (var day = startDate - 14; day < endDate + 14; day += 1) { |
| 624 | scale.push(day * ONE_DAY); |
| 625 | } |
| 626 | } |
| 627 | |
| 628 | var xTicks = []; |
| 629 | |
| 630 | if (isMonthly) { |
| 631 | var startYear = 1900 + (new Date(startDate* ONE_DAY)).getYear(); |
| 632 | var endYear = 1900 + (new Date(endDate * ONE_DAY)).getYear(); |
| 633 | for (var i = startYear; i <= endYear; i++) { |
| 634 | if (i % yearMod != 0) continue; |
| 635 | for (var j = 0; j < scale.length; j++ ) { |
| 636 | var date = Date.parse(scale[j] + " 1, " + i); |
| 637 | xTicks.push( {label: scale[j] + "'" + ("" + i).substr(2,2), v: date } ); |
| 638 | } |
| 639 | } |
| 640 | } else { |
| 641 | for (var i = 0; i < scale.length; i++) { |
| 642 | var date = new Date(scale[i]); |
| 643 | var year = date.getFullYear().toString(); |
| 644 | var label = this.months[date.getMonth()] + date.getDate(); |
| 645 | label += "'" + year.substr(year.length - 2, 2); |
| 646 | xTicks.push( {label: label, v: date} ); |
| 647 | } |
| 648 | } |
| 649 | return xTicks; |
| 650 | }; |
| 651 | |
| 652 | /** |
| 653 | * Add ticks when the x axis has numbers on it (instead of dates) |
| 654 | * @param {Number} startDate Start of the date window (millis since epoch) |
| 655 | * @param {Number} endDate End of the date window (millis since epoch) |
| 656 | * @return {Array.<Object>} Array of {label, value} tuples. |
| 657 | * @public |
| 658 | */ |
| 659 | DateGraph.prototype.numericTicks = function(minV, maxV) { |
| 660 | var scale; |
| 661 | if (maxV <= 0.0) { |
| 662 | scale = 1.0; |
| 663 | } else { |
| 664 | scale = Math.pow( 10, Math.floor(Math.log(maxV)/Math.log(10.0)) ); |
| 665 | } |
| 666 | |
| 667 | // Add a smallish number of ticks at human-friendly points |
| 668 | var nTicks = (maxV - minV) / scale; |
| 669 | while (2 * nTicks < 20) { |
| 670 | nTicks *= 2; |
| 671 | } |
| 672 | if ((maxV - minV) / nTicks < this.minTickSize_) { |
| 673 | nTicks = this.round_((maxV - minV) / this.minTickSize_, 1); |
| 674 | } |
| 675 | |
| 676 | // Construct labels for the ticks |
| 677 | var ticks = []; |
| 678 | for (var i = 0; i <= nTicks; i++) { |
| 679 | var tickV = minV + i * (maxV - minV) / nTicks; |
| 680 | var label = this.round_(tickV, 2); |
| 681 | if (this.labelsKMB_) { |
| 682 | var k = 1000; |
| 683 | if (tickV >= k*k*k) { |
| 684 | label = this.round_(tickV/(k*k*k), 1) + "B"; |
| 685 | } else if (tickV >= k*k) { |
| 686 | label = this.round_(tickV/(k*k), 1) + "M"; |
| 687 | } else if (tickV >= k) { |
| 688 | label = this.round_(tickV/k, 1) + "K"; |
| 689 | } |
| 690 | } |
| 691 | ticks.push( {label: label, v: tickV} ); |
| 692 | } |
| 693 | return ticks; |
| 694 | }; |
| 695 | |
| 696 | /** |
| 697 | * Adds appropriate ticks on the y-axis |
| 698 | * @param {Number} minY The minimum Y value in the data set |
| 699 | * @param {Number} maxY The maximum Y value in the data set |
| 700 | * @private |
| 701 | */ |
| 702 | DateGraph.prototype.addYTicks_ = function(minY, maxY) { |
| 703 | // Set the number of ticks so that the labels are human-friendly. |
| 704 | var ticks = this.numericTicks(minY, maxY); |
| 705 | this.layout_.updateOptions( { yAxis: [minY, maxY], |
| 706 | yTicks: ticks } ); |
| 707 | }; |
| 708 | |
| 709 | /** |
| 710 | * Update the graph with new data. Data is in the format |
| 711 | * [ [date1, val1, val2, ...], [date2, val1, val2, ...] if errorBars=false |
| 712 | * or, if errorBars=true, |
| 713 | * [ [date1, [val1,stddev1], [val2,stddev2], ...], [date2, ...], ...] |
| 714 | * @param {Array.<Object>} data The data (see above) |
| 715 | * @private |
| 716 | */ |
| 717 | DateGraph.prototype.drawGraph_ = function(data) { |
| 718 | var maxY = null; |
| 719 | this.layout_.removeAllDatasets(); |
| 720 | // Loop over all fields in the dataset |
| 721 | for (var i = 1; i < data[0].length; i++) { |
| 722 | var series = []; |
| 723 | for (var j = 0; j < data.length; j++) { |
| 724 | var date = data[j][0]; |
| 725 | series[j] = [date, data[j][i]]; |
| 726 | } |
| 727 | series = this.rollingAverage(series, this.rollPeriod_); |
| 728 | |
| 729 | // Prune down to the desired range, if necessary (for zooming) |
| 730 | var bars = this.errorBars_ || this.customBars_; |
| 731 | if (this.dateWindow_) { |
| 732 | var low = this.dateWindow_[0]; |
| 733 | var high= this.dateWindow_[1]; |
| 734 | var pruned = []; |
| 735 | for (var k = 0; k < series.length; k++) { |
| 736 | if (series[k][0] >= low && series[k][0] <= high) { |
| 737 | pruned.push(series[k]); |
| 738 | var y = bars ? series[k][1][0] : series[k][1]; |
| 739 | if (maxY == null || y > maxY) maxY = y; |
| 740 | } |
| 741 | } |
| 742 | series = pruned; |
| 743 | } else { |
| 744 | for (var j = 0; j < series.length; j++) { |
| 745 | var y = bars ? series[j][1][0] : series[j][1]; |
| 746 | if (maxY == null || y > maxY) { |
| 747 | maxY = bars ? y + series[j][1][1] : y; |
| 748 | } |
| 749 | } |
| 750 | } |
| 751 | |
| 752 | if (bars) { |
| 753 | var vals = []; |
| 754 | for (var j=0; j<series.length; j++) |
| 755 | vals[j] = [series[j][0], |
| 756 | series[j][1][0], series[j][1][1], series[j][1][2]]; |
| 757 | this.layout_.addDataset(this.labels_[i - 1], vals); |
| 758 | } else { |
| 759 | this.layout_.addDataset(this.labels_[i - 1], series); |
| 760 | } |
| 761 | } |
| 762 | |
| 763 | // Use some heuristics to come up with a good maxY value, unless it's been |
| 764 | // set explicitly by the user. |
| 765 | if (this.valueRange_ != null) { |
| 766 | this.addYTicks_(this.valueRange_[0], this.valueRange_[1]); |
| 767 | } else { |
| 768 | // Add some padding and round up to an integer to be human-friendly. |
| 769 | maxY *= 1.1; |
| 770 | if (maxY <= 0.0) maxY = 1.0; |
| 771 | else { |
| 772 | var scale = Math.pow(10, Math.floor(Math.log(maxY) / Math.log(10.0))); |
| 773 | maxY = scale * Math.ceil(maxY / scale); |
| 774 | } |
| 775 | this.addYTicks_(0, maxY); |
| 776 | } |
| 777 | |
| 778 | this.addXTicks_(); |
| 779 | |
| 780 | // Tell PlotKit to use this new data and render itself |
| 781 | this.layout_.evaluateWithError(); |
| 782 | this.plotter_.clear(); |
| 783 | this.plotter_.render(); |
| 784 | this.canvas_.getContext('2d').clearRect(0, 0, |
| 785 | this.canvas_.width, this.canvas_.height); |
| 786 | }; |
| 787 | |
| 788 | /** |
| 789 | * Calculates the rolling average of a data set. |
| 790 | * If originalData is [label, val], rolls the average of those. |
| 791 | * If originalData is [label, [, it's interpreted as [value, stddev] |
| 792 | * and the roll is returned in the same form, with appropriately reduced |
| 793 | * stddev for each value. |
| 794 | * Note that this is where fractional input (i.e. '5/10') is converted into |
| 795 | * decimal values. |
| 796 | * @param {Array} originalData The data in the appropriate format (see above) |
| 797 | * @param {Number} rollPeriod The number of days over which to average the data |
| 798 | */ |
| 799 | DateGraph.prototype.rollingAverage = function(originalData, rollPeriod) { |
| 800 | if (originalData.length < 2) |
| 801 | return originalData; |
| 802 | var rollPeriod = Math.min(rollPeriod, originalData.length - 1); |
| 803 | var rollingData = []; |
| 804 | var sigma = this.sigma_; |
| 805 | |
| 806 | if (this.fractions_) { |
| 807 | var num = 0; |
| 808 | var den = 0; // numerator/denominator |
| 809 | var mult = 100.0; |
| 810 | for (var i = 0; i < originalData.length; i++) { |
| 811 | num += originalData[i][1][0]; |
| 812 | den += originalData[i][1][1]; |
| 813 | if (i - rollPeriod >= 0) { |
| 814 | num -= originalData[i - rollPeriod][1][0]; |
| 815 | den -= originalData[i - rollPeriod][1][1]; |
| 816 | } |
| 817 | |
| 818 | var date = originalData[i][0]; |
| 819 | var value = den ? num / den : 0.0; |
| 820 | if (this.errorBars_) { |
| 821 | if (this.wilsonInterval_) { |
| 822 | // For more details on this confidence interval, see: |
| 823 | // http://en.wikipedia.org/wiki/Binomial_confidence_interval |
| 824 | if (den) { |
| 825 | var p = value < 0 ? 0 : value, n = den; |
| 826 | var pm = sigma * Math.sqrt(p*(1-p)/n + sigma*sigma/(4*n*n)); |
| 827 | var denom = 1 + sigma * sigma / den; |
| 828 | var low = (p + sigma * sigma / (2 * den) - pm) / denom; |
| 829 | var high = (p + sigma * sigma / (2 * den) + pm) / denom; |
| 830 | rollingData[i] = [date, |
| 831 | [p * mult, (p - low) * mult, (high - p) * mult]]; |
| 832 | } else { |
| 833 | rollingData[i] = [date, [0, 0, 0]]; |
| 834 | } |
| 835 | } else { |
| 836 | var stddev = den ? sigma * Math.sqrt(value * (1 - value) / den) : 1.0; |
| 837 | rollingData[i] = [date, [mult * value, mult * stddev, mult * stddev]]; |
| 838 | } |
| 839 | } else { |
| 840 | rollingData[i] = [date, mult * value]; |
| 841 | } |
| 842 | } |
| 843 | } else if (this.customBars_) { |
| 844 | // just ignore the rolling for now. |
| 845 | // TODO(danvk): do something reasonable. |
| 846 | for (var i = 0; i < originalData.length; i++) { |
| 847 | var data = originalData[i][1]; |
| 848 | var y = data[1]; |
| 849 | rollingData[i] = [originalData[i][0], [y, y - data[0], data[2] - y]]; |
| 850 | } |
| 851 | } else { |
| 852 | // Calculate the rolling average for the first rollPeriod - 1 points where |
| 853 | // there is not enough data to roll over the full number of days |
| 854 | var num_init_points = Math.min(rollPeriod - 1, originalData.length - 2); |
| 855 | if (!this.errorBars_){ |
| 856 | for (var i = 0; i < num_init_points; i++) { |
| 857 | var sum = 0; |
| 858 | for (var j = 0; j < i + 1; j++) |
| 859 | sum += originalData[j][1]; |
| 860 | rollingData[i] = [originalData[i][0], sum / (i + 1)]; |
| 861 | } |
| 862 | // Calculate the rolling average for the remaining points |
| 863 | for (var i = Math.min(rollPeriod - 1, originalData.length - 2); |
| 864 | i < originalData.length; |
| 865 | i++) { |
| 866 | var sum = 0; |
| 867 | for (var j = i - rollPeriod + 1; j < i + 1; j++) |
| 868 | sum += originalData[j][1]; |
| 869 | rollingData[i] = [originalData[i][0], sum / rollPeriod]; |
| 870 | } |
| 871 | } else { |
| 872 | for (var i = 0; i < num_init_points; i++) { |
| 873 | var sum = 0; |
| 874 | var variance = 0; |
| 875 | for (var j = 0; j < i + 1; j++) { |
| 876 | sum += originalData[j][1][0]; |
| 877 | variance += Math.pow(originalData[j][1][1], 2); |
| 878 | } |
| 879 | var stddev = Math.sqrt(variance)/(i+1); |
| 880 | rollingData[i] = [originalData[i][0], |
| 881 | [sum/(i+1), sigma * stddev, sigma * stddev]]; |
| 882 | } |
| 883 | // Calculate the rolling average for the remaining points |
| 884 | for (var i = Math.min(rollPeriod - 1, originalData.length - 2); |
| 885 | i < originalData.length; |
| 886 | i++) { |
| 887 | var sum = 0; |
| 888 | var variance = 0; |
| 889 | for (var j = i - rollPeriod + 1; j < i + 1; j++) { |
| 890 | sum += originalData[j][1][0]; |
| 891 | variance += Math.pow(originalData[j][1][1], 2); |
| 892 | } |
| 893 | var stddev = Math.sqrt(variance) / rollPeriod; |
| 894 | rollingData[i] = [originalData[i][0], |
| 895 | [sum / rollPeriod, sigma * stddev, sigma * stddev]]; |
| 896 | } |
| 897 | } |
| 898 | } |
| 899 | |
| 900 | return rollingData; |
| 901 | }; |
| 902 | |
| 903 | /** |
| 904 | * Parses a date, returning the number of milliseconds since epoch. This can be |
| 905 | * passed in as an xValueParser in the DateGraph constructor. |
| 906 | * @param {String} A date in YYYYMMDD format. |
| 907 | * @return {Number} Milliseconds since epoch. |
| 908 | * @public |
| 909 | */ |
| 910 | DateGraph.prototype.dateParser = function(dateStr) { |
| 911 | var dateStrSlashed; |
| 912 | if (dateStr.search("-") != -1) { |
| 913 | dateStrSlashed = dateStr.replace("-", "/", "g"); |
| 914 | } else if (dateStr.search("/") != -1) { |
| 915 | return Date.parse(dateStr); |
| 916 | } else { |
| 917 | dateStrSlashed = dateStr.substr(0,4) + "/" + dateStr.substr(4,2) |
| 918 | + "/" + dateStr.substr(6,2); |
| 919 | } |
| 920 | return Date.parse(dateStrSlashed); |
| 921 | }; |
| 922 | |
| 923 | /** |
| 924 | * Parses a string in a special csv format. We expect a csv file where each |
| 925 | * line is a date point, and the first field in each line is the date string. |
| 926 | * We also expect that all remaining fields represent series. |
| 927 | * if this.errorBars_ is set, then interpret the fields as: |
| 928 | * date, series1, stddev1, series2, stddev2, ... |
| 929 | * @param {Array.<Object>} data See above. |
| 930 | * @private |
| 931 | */ |
| 932 | DateGraph.prototype.parseCSV_ = function(data) { |
| 933 | var ret = []; |
| 934 | var lines = data.split("\n"); |
| 935 | var start = this.labelsFromCSV_ ? 1 : 0; |
| 936 | if (this.labelsFromCSV_) { |
| 937 | var labels = lines[0].split(","); |
| 938 | labels.shift(); // a "date" parameter is assumed. |
| 939 | this.labels_ = labels; |
| 940 | // regenerate automatic colors. |
| 941 | this.setColors_(this.attrs_); |
| 942 | this.renderOptions_.colorScheme = this.colors_; |
| 943 | MochiKit.Base.update(this.plotter_.options, this.renderOptions_); |
| 944 | MochiKit.Base.update(this.layoutOptions_, this.attrs_); |
| 945 | } |
| 946 | |
| 947 | for (var i = start; i < lines.length; i++) { |
| 948 | var line = lines[i]; |
| 949 | if (line.length == 0) continue; // skip blank lines |
| 950 | var inFields = line.split(','); |
| 951 | if (inFields.length < 2) |
| 952 | continue; |
| 953 | |
| 954 | var fields = []; |
| 955 | fields[0] = this.xValueParser_(inFields[0]); |
| 956 | |
| 957 | // If fractions are expected, parse the numbers as "A/B" |
| 958 | if (this.fractions_) { |
| 959 | for (var j = 1; j < inFields.length; j++) { |
| 960 | // TODO(danvk): figure out an appropriate way to flag parse errors. |
| 961 | var vals = inFields[j].split("/"); |
| 962 | fields[j] = [parseFloat(vals[0]), parseFloat(vals[1])]; |
| 963 | } |
| 964 | } else if (this.errorBars_) { |
| 965 | // If there are error bars, values are (value, stddev) pairs |
| 966 | for (var j = 1; j < inFields.length; j += 2) |
| 967 | fields[(j + 1) / 2] = [parseFloat(inFields[j]), |
| 968 | parseFloat(inFields[j + 1])]; |
| 969 | } else if (this.customBars_) { |
| 970 | // Bars are a low;center;high tuple |
| 971 | for (var j = 1; j < inFields.length; j++) { |
| 972 | var vals = inFields[j].split(";"); |
| 973 | fields[j] = [ parseFloat(vals[0]), |
| 974 | parseFloat(vals[1]), |
| 975 | parseFloat(vals[2]) ]; |
| 976 | } |
| 977 | } else { |
| 978 | // Values are just numbers |
| 979 | for (var j = 1; j < inFields.length; j++) |
| 980 | fields[j] = parseFloat(inFields[j]); |
| 981 | } |
| 982 | ret.push(fields); |
| 983 | } |
| 984 | return ret; |
| 985 | }; |
| 986 | |
| 987 | /** |
| 988 | * Get the CSV data. If it's in a function, call that function. If it's in a |
| 989 | * file, do an XMLHttpRequest to get it. |
| 990 | * @private |
| 991 | */ |
| 992 | DateGraph.prototype.start_ = function() { |
| 993 | if (typeof this.file_ == 'function') { |
| 994 | // Stubbed out to allow this to run off a filesystem |
| 995 | this.loadedEvent_(this.file_()); |
| 996 | } else { |
| 997 | var req = new XMLHttpRequest(); |
| 998 | var caller = this; |
| 999 | req.onreadystatechange = function () { |
| 1000 | if (req.readyState == 4) { |
| 1001 | if (req.status == 200) { |
| 1002 | caller.loadedEvent_(req.responseText); |
| 1003 | } |
| 1004 | } |
| 1005 | }; |
| 1006 | |
| 1007 | req.open("GET", this.file_, true); |
| 1008 | req.send(null); |
| 1009 | } |
| 1010 | }; |
| 1011 | |
| 1012 | /** |
| 1013 | * Changes various properties of the graph. These can include: |
| 1014 | * <ul> |
| 1015 | * <li>file: changes the source data for the graph</li> |
| 1016 | * <li>errorBars: changes whether the data contains stddev</li> |
| 1017 | * </ul> |
| 1018 | * @param {Object} attrs The new properties and values |
| 1019 | */ |
| 1020 | DateGraph.prototype.updateOptions = function(attrs) { |
| 1021 | if (attrs.errorBars) { |
| 1022 | this.errorBars_ = attrs.errorBars; |
| 1023 | } |
| 1024 | if (attrs.customBars) { |
| 1025 | this.customBars_ = attrs.customBars; |
| 1026 | } |
| 1027 | if (attrs.strokeWidth) { |
| 1028 | this.strokeWidth_ = attrs.strokeWidth; |
| 1029 | } |
| 1030 | if (attrs.rollPeriod) { |
| 1031 | this.rollPeriod_ = attrs.rollPeriod; |
| 1032 | } |
| 1033 | if (attrs.dateWindow) { |
| 1034 | this.dateWindow_ = attrs.dateWindow; |
| 1035 | } |
| 1036 | if (attrs.valueRange) { |
| 1037 | this.valueRange_ = attrs.valueRange; |
| 1038 | } |
| 1039 | if (attrs.minTickSize) { |
| 1040 | this.minTickSize_ = attrs.minTickSize; |
| 1041 | } |
| 1042 | if (typeof(attrs.labels) != 'undefined') { |
| 1043 | this.labels_ = attrs.labels; |
| 1044 | this.labelsFromCSV_ = (attrs.labels == null); |
| 1045 | } |
| 1046 | this.layout_.updateOptions({ 'errorBars': this.errorBars_ }); |
| 1047 | if (attrs['file'] && attrs['file'] != this.file_) { |
| 1048 | this.file_ = attrs['file']; |
| 1049 | this.start_(); |
| 1050 | } else { |
| 1051 | this.drawGraph_(this.rawData_); |
| 1052 | } |
| 1053 | }; |
| 1054 | |
| 1055 | /** |
| 1056 | * Adjusts the number of days in the rolling average. Updates the graph to |
| 1057 | * reflect the new averaging period. |
| 1058 | * @param {Number} length Number of days over which to average the data. |
| 1059 | */ |
| 1060 | DateGraph.prototype.adjustRoll = function(length) { |
| 1061 | this.rollPeriod_ = length; |
| 1062 | this.drawGraph_(this.rawData_); |
| 1063 | }; |