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-Flot Reference
---------------
-
-Consider a call to the plot function:
-
-   var plot = $.plot(placeholder, data, options)
-
-The placeholder is a jQuery object or DOM element or jQuery expression
-that the plot will be put into. This placeholder needs to have its
-width and height set as explained in the README (go read that now if
-you haven't, it's short). The plot will modify some properties of the
-placeholder so it's recommended you simply pass in a div that you
-don't use for anything else. Make sure you check any fancy styling
-you apply to the div, e.g. background images have been reported to be a
-problem on IE 7.
-
-The format of the data is documented below, as is the available
-options. The plot object returned from the call has some methods you
-can call. These are documented separately below.
-
-Note that in general Flot gives no guarantees if you change any of the
-objects you pass in to the plot function or get out of it since
-they're not necessarily deep-copied.
-
-
-Data Format
------------
-
-The data is an array of data series:
-
-  [ series1, series2, ... ]
-
-A series can either be raw data or an object with properties. The raw
-data format is an array of points:
-
-  [ [x1, y1], [x2, y2], ... ]
-
-E.g.
-
-  [ [1, 3], [2, 14.01], [3.5, 3.14] ]
-
-Note that to simplify the internal logic in Flot both the x and y
-values must be numbers (even if specifying time series, see below for
-how to do this). This is a common problem because you might retrieve
-data from the database and serialize them directly to JSON without
-noticing the wrong type. If you're getting mysterious errors, double
-check that you're inputting numbers and not strings.
-
-If a null is specified as a point or if one of the coordinates is null
-or couldn't be converted to a number, the point is ignored when
-drawing. As a special case, a null value for lines is interpreted as a
-line segment end, i.e. the points before and after the null value are
-not connected.
-
-Lines and points take two coordinates. For filled lines and bars, you
-can specify a third coordinate which is the bottom of the filled
-area/bar (defaults to 0).
-
-The format of a single series object is as follows:
-
-  {
-    color: color or number
-    data: rawdata
-    label: string
-    lines: specific lines options
-    bars: specific bars options
-    points: specific points options
-    xaxis: number
-    yaxis: number
-    clickable: boolean
-    hoverable: boolean
-    shadowSize: number
-  }
-
-You don't have to specify any of them except the data, the rest are
-options that will get default values. Typically you'd only specify
-label and data, like this:
-
-  {
-    label: "y = 3",
-    data: [[0, 3], [10, 3]]
-  }
-
-The label is used for the legend, if you don't specify one, the series
-will not show up in the legend.
-
-If you don't specify color, the series will get a color from the
-auto-generated colors. The color is either a CSS color specification
-(like "rgb(255, 100, 123)") or an integer that specifies which of
-auto-generated colors to select, e.g. 0 will get color no. 0, etc.
-
-The latter is mostly useful if you let the user add and remove series,
-in which case you can hard-code the color index to prevent the colors
-from jumping around between the series.
-
-The "xaxis" and "yaxis" options specify which axis to use. The axes
-are numbered from 1 (default), so { yaxis: 2} means that the series
-should be plotted against the second y axis.
-
-"clickable" and "hoverable" can be set to false to disable
-interactivity for specific series if interactivity is turned on in
-the plot, see below.
-
-The rest of the options are all documented below as they are the same
-as the default options passed in via the options parameter in the plot
-commmand. When you specify them for a specific data series, they will
-override the default options for the plot for that data series.
-
-Here's a complete example of a simple data specification:
-
-  [ { label: "Foo", data: [ [10, 1], [17, -14], [30, 5] ] },
-    { label: "Bar", data: [ [11, 13], [19, 11], [30, -7] ] } ]
-
-
-Plot Options
-------------
-
-All options are completely optional. They are documented individually
-below, to change them you just specify them in an object, e.g.
-
-  var options = {
-    series: {
-      lines: { show: true },
-      points: { show: true }
-    }
-  };
-
-  $.plot(placeholder, data, options);
-
-
-Customizing the legend
-======================
-
-  legend: {
-    show: boolean
-    labelFormatter: null or (fn: string, series object -> string)
-    labelBoxBorderColor: color
-    noColumns: number
-    position: "ne" or "nw" or "se" or "sw"
-    margin: number of pixels or [x margin, y margin]
-    backgroundColor: null or color
-    backgroundOpacity: number between 0 and 1
-    container: null or jQuery object/DOM element/jQuery expression
-  }
-
-The legend is generated as a table with the data series labels and
-small label boxes with the color of the series. If you want to format
-the labels in some way, e.g. make them to links, you can pass in a
-function for "labelFormatter". Here's an example that makes them
-clickable:
-
-  labelFormatter: function(label, series) {
-    // series is the series object for the label
-    return '<a href="#' + label + '">' + label + '</a>';
-  }
-
-"noColumns" is the number of columns to divide the legend table into.
-"position" specifies the overall placement of the legend within the
-plot (top-right, top-left, etc.) and margin the distance to the plot
-edge (this can be either a number or an array of two numbers like [x,
-y]). "backgroundColor" and "backgroundOpacity" specifies the
-background. The default is a partly transparent auto-detected
-background.
-
-If you want the legend to appear somewhere else in the DOM, you can
-specify "container" as a jQuery object/expression to put the legend
-table into. The "position" and "margin" etc. options will then be
-ignored. Note that Flot will overwrite the contents of the container.
-
-
-Customizing the axes
-====================
-
-  xaxis, yaxis: {
-    show: null or true/false
-    position: "bottom" or "top" or "left" or "right"
-    mode: null or "time"
-
-    color: null or color spec
-    tickColor: null or color spec
-    
-    min: null or number
-    max: null or number
-    autoscaleMargin: null or number
-    
-    transform: null or fn: number -> number
-    inverseTransform: null or fn: number -> number
-    
-    ticks: null or number or ticks array or (fn: range -> ticks array)
-    tickSize: number or array
-    minTickSize: number or array
-    tickFormatter: (fn: number, object -> string) or string
-    tickDecimals: null or number
-
-    labelWidth: null or number
-    labelHeight: null or number
-    reserveSpace: null or true
-    
-    tickLength: null or number
-
-    alignTicksWithAxis: null or number
-  }
-
-All axes have the same kind of options. The following describes how to
-configure one axis, see below for what to do if you've got more than
-one x axis or y axis.
-
-If you don't set the "show" option (i.e. it is null), visibility is
-auto-detected, i.e. the axis will show up if there's data associated
-with it. You can override this by setting the "show" option to true or
-false.
-
-The "position" option specifies where the axis is placed, bottom or
-top for x axes, left or right for y axes. The "mode" option determines
-how the data is interpreted, the default of null means as decimal
-numbers. Use "time" for time series data, see the time series data
-section.
-
-The "color" option determines the color of the labels and ticks for
-the axis (default is the grid color). For more fine-grained control
-you can also set the color of the ticks separately with "tickColor"
-(otherwise it's autogenerated as the base color with some
-transparency).
-
-The options "min"/"max" are the precise minimum/maximum value on the
-scale. If you don't specify either of them, a value will automatically
-be chosen based on the minimum/maximum data values. Note that Flot
-always examines all the data values you feed to it, even if a
-restriction on another axis may make some of them invisible (this
-makes interactive use more stable).
-
-The "autoscaleMargin" is a bit esoteric: it's the fraction of margin
-that the scaling algorithm will add to avoid that the outermost points
-ends up on the grid border. Note that this margin is only applied when
-a min or max value is not explicitly set. If a margin is specified,
-the plot will furthermore extend the axis end-point to the nearest
-whole tick. The default value is "null" for the x axes and 0.02 for y
-axes which seems appropriate for most cases.
-
-"transform" and "inverseTransform" are callbacks you can put in to
-change the way the data is drawn. You can design a function to
-compress or expand certain parts of the axis non-linearly, e.g.
-suppress weekends or compress far away points with a logarithm or some
-other means. When Flot draws the plot, each value is first put through
-the transform function. Here's an example, the x axis can be turned
-into a natural logarithm axis with the following code:
-
-  xaxis: {
-    transform: function (v) { return Math.log(v); },
-    inverseTransform: function (v) { return Math.exp(v); }
-  }
-
-Similarly, for reversing the y axis so the values appear in inverse
-order:
-  
-  yaxis: {
-    transform: function (v) { return -v; },
-    inverseTransform: function (v) { return -v; }
-  }
-
-Note that for finding extrema, Flot assumes that the transform
-function does not reorder values (it should be monotone).
-
-The inverseTransform is simply the inverse of the transform function
-(so v == inverseTransform(transform(v)) for all relevant v). It is
-required for converting from canvas coordinates to data coordinates,
-e.g. for a mouse interaction where a certain pixel is clicked. If you
-don't use any interactive features of Flot, you may not need it.
-
-
-The rest of the options deal with the ticks.
-
-If you don't specify any ticks, a tick generator algorithm will make
-some for you. The algorithm has two passes. It first estimates how
-many ticks would be reasonable and uses this number to compute a nice
-round tick interval size. Then it generates the ticks.
-
-You can specify how many ticks the algorithm aims for by setting
-"ticks" to a number. The algorithm always tries to generate reasonably
-round tick values so even if you ask for three ticks, you might get
-five if that fits better with the rounding. If you don't want any
-ticks at all, set "ticks" to 0 or an empty array.
-
-Another option is to skip the rounding part and directly set the tick
-interval size with "tickSize". If you set it to 2, you'll get ticks at
-2, 4, 6, etc. Alternatively, you can specify that you just don't want
-ticks at a size less than a specific tick size with "minTickSize".
-Note that for time series, the format is an array like [2, "month"],
-see the next section.
-
-If you want to completely override the tick algorithm, you can specify
-an array for "ticks", either like this:
-
-  ticks: [0, 1.2, 2.4]
-
-Or like this where the labels are also customized:
-
-  ticks: [[0, "zero"], [1.2, "one mark"], [2.4, "two marks"]]
-
-You can mix the two if you like.
-  
-For extra flexibility you can specify a function as the "ticks"
-parameter. The function will be called with an object with the axis
-min and max and should return a ticks array. Here's a simplistic tick
-generator that spits out intervals of pi, suitable for use on the x
-axis for trigonometric functions:
-
-  function piTickGenerator(axis) {
-    var res = [], i = Math.floor(axis.min / Math.PI);
-    do {
-      var v = i * Math.PI;
-      res.push([v, i + "\u03c0"]);
-      ++i;
-    } while (v < axis.max);
-    
-    return res;
-  }
-
-You can control how the ticks look like with "tickDecimals", the
-number of decimals to display (default is auto-detected).
-
-Alternatively, for ultimate control over how ticks are formatted you can
-provide a function to "tickFormatter". The function is passed two
-parameters, the tick value and an axis object with information, and
-should return a string. The default formatter looks like this:
-
-  function formatter(val, axis) {
-    return val.toFixed(axis.tickDecimals);
-  }
-
-The axis object has "min" and "max" with the range of the axis,
-"tickDecimals" with the number of decimals to round the value to and
-"tickSize" with the size of the interval between ticks as calculated
-by the automatic axis scaling algorithm (or specified by you). Here's
-an example of a custom formatter:
-
-  function suffixFormatter(val, axis) {
-    if (val > 1000000)
-      return (val / 1000000).toFixed(axis.tickDecimals) + " MB";
-    else if (val > 1000)
-      return (val / 1000).toFixed(axis.tickDecimals) + " kB";
-    else
-      return val.toFixed(axis.tickDecimals) + " B";
-  }
-
-"labelWidth" and "labelHeight" specifies a fixed size of the tick
-labels in pixels. They're useful in case you need to align several
-plots. "reserveSpace" means that even if an axis isn't shown, Flot
-should reserve space for it - it is useful in combination with
-labelWidth and labelHeight for aligning multi-axis charts.
-
-"tickLength" is the length of the tick lines in pixels. By default, the
-innermost axes will have ticks that extend all across the plot, while
-any extra axes use small ticks. A value of null means use the default,
-while a number means small ticks of that length - set it to 0 to hide
-the lines completely.
-
-If you set "alignTicksWithAxis" to the number of another axis, e.g.
-alignTicksWithAxis: 1, Flot will ensure that the autogenerated ticks
-of this axis are aligned with the ticks of the other axis. This may
-improve the looks, e.g. if you have one y axis to the left and one to
-the right, because the grid lines will then match the ticks in both
-ends. The trade-off is that the forced ticks won't necessarily be at
-natural places.
-
-
-Multiple axes
-=============
-
-If you need more than one x axis or y axis, you need to specify for
-each data series which axis they are to use, as described under the
-format of the data series, e.g. { data: [...], yaxis: 2 } specifies
-that a series should be plotted against the second y axis.
-
-To actually configure that axis, you can't use the xaxis/yaxis options
-directly - instead there are two arrays in the options:
-
-   xaxes: []
-   yaxes: []
-
-Here's an example of configuring a single x axis and two y axes (we
-can leave options of the first y axis empty as the defaults are fine):
-
-  {
-    xaxes: [ { position: "top" } ],
-    yaxes: [ { }, { position: "right", min: 20 } ]
-  }
-
-The arrays get their default values from the xaxis/yaxis settings, so
-say you want to have all y axes start at zero, you can simply specify
-yaxis: { min: 0 } instead of adding a min parameter to all the axes.
-
-Generally, the various interfaces in Flot dealing with data points
-either accept an xaxis/yaxis parameter to specify which axis number to
-use (starting from 1), or lets you specify the coordinate directly as
-x2/x3/... or x2axis/x3axis/... instead of "x" or "xaxis".
-
-  
-Time series data
-================
-
-Time series are a bit more difficult than scalar data because
-calendars don't follow a simple base 10 system. For many cases, Flot
-abstracts most of this away, but it can still be a bit difficult to
-get the data into Flot. So we'll first discuss the data format.
-
-The time series support in Flot is based on Javascript timestamps,
-i.e. everywhere a time value is expected or handed over, a Javascript
-timestamp number is used. This is a number, not a Date object. A
-Javascript timestamp is the number of milliseconds since January 1,
-1970 00:00:00 UTC. This is almost the same as Unix timestamps, except it's
-in milliseconds, so remember to multiply by 1000!
-
-You can see a timestamp like this
-
-  alert((new Date()).getTime())
-
-Normally you want the timestamps to be displayed according to a
-certain time zone, usually the time zone in which the data has been
-produced. However, Flot always displays timestamps according to UTC.
-It has to as the only alternative with core Javascript is to interpret
-the timestamps according to the time zone that the visitor is in,
-which means that the ticks will shift unpredictably with the time zone
-and daylight savings of each visitor.
-
-So given that there's no good support for custom time zones in
-Javascript, you'll have to take care of this server-side.
-
-The easiest way to think about it is to pretend that the data
-production time zone is UTC, even if it isn't. So if you have a
-datapoint at 2002-02-20 08:00, you can generate a timestamp for eight
-o'clock UTC even if it really happened eight o'clock UTC+0200.
-
-In PHP you can get an appropriate timestamp with
-'strtotime("2002-02-20 UTC") * 1000', in Python with
-'calendar.timegm(datetime_object.timetuple()) * 1000', in .NET with
-something like:
-
-  public static int GetJavascriptTimestamp(System.DateTime input)
-  {
-    System.TimeSpan span = new System.TimeSpan(System.DateTime.Parse("1/1/1970").Ticks);
-    System.DateTime time = input.Subtract(span);
-    return (long)(time.Ticks / 10000);
-  }
-
-Javascript also has some support for parsing date strings, so it is
-possible to generate the timestamps manually client-side.
-
-If you've already got the real UTC timestamp, it's too late to use the
-pretend trick described above. But you can fix up the timestamps by
-adding the time zone offset, e.g. for UTC+0200 you would add 2 hours
-to the UTC timestamp you got. Then it'll look right on the plot. Most
-programming environments have some means of getting the timezone
-offset for a specific date (note that you need to get the offset for
-each individual timestamp to account for daylight savings).
-
-Once you've gotten the timestamps into the data and specified "time"
-as the axis mode, Flot will automatically generate relevant ticks and
-format them. As always, you can tweak the ticks via the "ticks" option
-- just remember that the values should be timestamps (numbers), not
-Date objects.
-
-Tick generation and formatting can also be controlled separately
-through the following axis options:
-
-  minTickSize: array
-  timeformat: null or format string
-  monthNames: null or array of size 12 of strings
-  twelveHourClock: boolean
-
-Here "timeformat" is a format string to use. You might use it like
-this:
-
-  xaxis: {
-    mode: "time"
-    timeformat: "%y/%m/%d"
-  }
-  
-This will result in tick labels like "2000/12/24". The following
-specifiers are supported
-
-  %h: hours
-  %H: hours (left-padded with a zero)
-  %M: minutes (left-padded with a zero)
-  %S: seconds (left-padded with a zero)
-  %d: day of month (1-31), use %0d for zero-padding
-  %m: month (1-12), use %0m for zero-padding
-  %y: year (four digits)
-  %b: month name (customizable)
-  %p: am/pm, additionally switches %h/%H to 12 hour instead of 24
-  %P: AM/PM (uppercase version of %p)
-
-Inserting a zero like %0m or %0d means that the specifier will be
-left-padded with a zero if it's only single-digit. So %y-%0m-%0d
-results in unambigious ISO timestamps like 2007-05-10 (for May 10th).
-
-You can customize the month names with the "monthNames" option. For
-instance, for Danish you might specify:
-
-  monthNames: ["jan", "feb", "mar", "apr", "maj", "jun", "jul", "aug", "sep", "okt", "nov", "dec"]
-
-If you set "twelveHourClock" to true, the autogenerated timestamps
-will use 12 hour AM/PM timestamps instead of 24 hour.
-  
-The format string and month names are used by a very simple built-in
-format function that takes a date object, a format string (and
-optionally an array of month names) and returns the formatted string.
-If needed, you can access it as $.plot.formatDate(date, formatstring,
-monthNames) or even replace it with another more advanced function
-from a date library if you're feeling adventurous.
-
-If everything else fails, you can control the formatting by specifying
-a custom tick formatter function as usual. Here's a simple example
-which will format December 24 as 24/12:
-
-  tickFormatter: function (val, axis) {
-    var d = new Date(val);
-    return d.getUTCDate() + "/" + (d.getUTCMonth() + 1);
-  }
-
-Note that for the time mode "tickSize" and "minTickSize" are a bit
-special in that they are arrays on the form "[value, unit]" where unit
-is one of "second", "minute", "hour", "day", "month" and "year". So
-you can specify
-
-  minTickSize: [1, "month"]
-
-to get a tick interval size of at least 1 month and correspondingly,
-if axis.tickSize is [2, "day"] in the tick formatter, the ticks have
-been produced with two days in-between.
-
-
-
-Customizing the data series
-===========================
-
-  series: {
-    lines, points, bars: {
-      show: boolean
-      lineWidth: number
-      fill: boolean or number
-      fillColor: null or color/gradient
-    }
-
-    points: {
-      radius: number
-      symbol: "circle" or function
-    }
-
-    bars: {
-      barWidth: number
-      align: "left" or "center"
-      horizontal: boolean
-    }
-
-    lines: {
-      steps: boolean
-    }
-
-    shadowSize: number
-  }
-  
-  colors: [ color1, color2, ... ]
-
-The options inside "series: {}" are copied to each of the series. So
-you can specify that all series should have bars by putting it in the
-global options, or override it for individual series by specifying
-bars in a particular the series object in the array of data.
-  
-The most important options are "lines", "points" and "bars" that
-specify whether and how lines, points and bars should be shown for
-each data series. In case you don't specify anything at all, Flot will
-default to showing lines (you can turn this off with
-lines: { show: false }). You can specify the various types
-independently of each other, and Flot will happily draw each of them
-in turn (this is probably only useful for lines and points), e.g.
-
-  var options = {
-    series: {
-      lines: { show: true, fill: true, fillColor: "rgba(255, 255, 255, 0.8)" },
-      points: { show: true, fill: false }
-    }
-  };
-
-"lineWidth" is the thickness of the line or outline in pixels. You can
-set it to 0 to prevent a line or outline from being drawn; this will
-also hide the shadow.
-
-"fill" is whether the shape should be filled. For lines, this produces
-area graphs. You can use "fillColor" to specify the color of the fill.
-If "fillColor" evaluates to false (default for everything except
-points which are filled with white), the fill color is auto-set to the
-color of the data series. You can adjust the opacity of the fill by
-setting fill to a number between 0 (fully transparent) and 1 (fully
-opaque).
-
-For bars, fillColor can be a gradient, see the gradient documentation
-below. "barWidth" is the width of the bars in units of the x axis (or
-the y axis if "horizontal" is true), contrary to most other measures
-that are specified in pixels. For instance, for time series the unit
-is milliseconds so 24 * 60 * 60 * 1000 produces bars with the width of
-a day. "align" specifies whether a bar should be left-aligned
-(default) or centered on top of the value it represents. When
-"horizontal" is on, the bars are drawn horizontally, i.e. from the y
-axis instead of the x axis; note that the bar end points are still
-defined in the same way so you'll probably want to swap the
-coordinates if you've been plotting vertical bars first.
-
-For lines, "steps" specifies whether two adjacent data points are
-connected with a straight (possibly diagonal) line or with first a
-horizontal and then a vertical line. Note that this transforms the
-data by adding extra points.
-
-For points, you can specify the radius and the symbol. The only
-built-in symbol type is circles, for other types you can use a plugin
-or define them yourself by specifying a callback:
-
-  function cross(ctx, x, y, radius, shadow) {
-      var size = radius * Math.sqrt(Math.PI) / 2;
-      ctx.moveTo(x - size, y - size);
-      ctx.lineTo(x + size, y + size);
-      ctx.moveTo(x - size, y + size);
-      ctx.lineTo(x + size, y - size);
-  }
-
-The parameters are the drawing context, x and y coordinates of the
-center of the point, a radius which corresponds to what the circle
-would have used and whether the call is to draw a shadow (due to
-limited canvas support, shadows are currently faked through extra
-draws). It's good practice to ensure that the area covered by the
-symbol is the same as for the circle with the given radius, this
-ensures that all symbols have approximately the same visual weight.
-
-"shadowSize" is the default size of shadows in pixels. Set it to 0 to
-remove shadows.
-
-The "colors" array specifies a default color theme to get colors for
-the data series from. You can specify as many colors as you like, like
-this:
-
-  colors: ["#d18b2c", "#dba255", "#919733"]
-
-If there are more data series than colors, Flot will try to generate
-extra colors by lightening and darkening colors in the theme.
-
-
-Customizing the grid
-====================
-
-  grid: {
-    show: boolean
-    aboveData: boolean
-    color: color
-    backgroundColor: color/gradient or null
-    labelMargin: number
-    axisMargin: number
-    markings: array of markings or (fn: axes -> array of markings)
-    borderWidth: number
-    borderColor: color or null
-    minBorderMargin: number or null
-    clickable: boolean
-    hoverable: boolean
-    autoHighlight: boolean
-    mouseActiveRadius: number
-  }
-
-The grid is the thing with the axes and a number of ticks. Many of the
-things in the grid are configured under the individual axes, but not
-all. "color" is the color of the grid itself whereas "backgroundColor"
-specifies the background color inside the grid area, here null means
-that the background is transparent. You can also set a gradient, see
-the gradient documentation below.
-
-You can turn off the whole grid including tick labels by setting
-"show" to false. "aboveData" determines whether the grid is drawn
-above the data or below (below is default).
-
-"labelMargin" is the space in pixels between tick labels and axis
-line, and "axisMargin" is the space in pixels between axes when there
-are two next to each other. Note that you can style the tick labels
-with CSS, e.g. to change the color. They have class "tickLabel".
-
-"borderWidth" is the width of the border around the plot. Set it to 0
-to disable the border. You can also set "borderColor" if you want the
-border to have a different color than the grid lines.
-"minBorderMargin" controls the default minimum margin around the
-border - it's used to make sure that points aren't accidentally
-clipped by the canvas edge so by default the value is computed from
-the point radius.
-
-"markings" is used to draw simple lines and rectangular areas in the
-background of the plot. You can either specify an array of ranges on
-the form { xaxis: { from, to }, yaxis: { from, to } } (with multiple
-axes, you can specify coordinates for other axes instead, e.g. as
-x2axis/x3axis/...) or with a function that returns such an array given
-the axes for the plot in an object as the first parameter.
-
-You can set the color of markings by specifying "color" in the ranges
-object. Here's an example array:
-
-  markings: [ { xaxis: { from: 0, to: 2 }, yaxis: { from: 10, to: 10 }, color: "#bb0000" }, ... ]
-
-If you leave out one of the values, that value is assumed to go to the
-border of the plot. So for example if you only specify { xaxis: {
-from: 0, to: 2 } } it means an area that extends from the top to the
-bottom of the plot in the x range 0-2.
-
-A line is drawn if from and to are the same, e.g.
-
-  markings: [ { yaxis: { from: 1, to: 1 } }, ... ]
-
-would draw a line parallel to the x axis at y = 1. You can control the
-line width with "lineWidth" in the range object.
-
-An example function that makes vertical stripes might look like this:
-
-  markings: function (axes) {
-    var markings = [];
-    for (var x = Math.floor(axes.xaxis.min); x < axes.xaxis.max; x += 2)
-      markings.push({ xaxis: { from: x, to: x + 1 } });
-    return markings;
-  }
-
-
-If you set "clickable" to true, the plot will listen for click events
-on the plot area and fire a "plotclick" event on the placeholder with
-a position and a nearby data item object as parameters. The coordinates
-are available both in the unit of the axes (not in pixels) and in
-global screen coordinates.
-
-Likewise, if you set "hoverable" to true, the plot will listen for
-mouse move events on the plot area and fire a "plothover" event with
-the same parameters as the "plotclick" event. If "autoHighlight" is
-true (the default), nearby data items are highlighted automatically.
-If needed, you can disable highlighting and control it yourself with
-the highlight/unhighlight plot methods described elsewhere.
-
-You can use "plotclick" and "plothover" events like this:
-
-    $.plot($("#placeholder"), [ d ], { grid: { clickable: true } });
-
-    $("#placeholder").bind("plotclick", function (event, pos, item) {
-        alert("You clicked at " + pos.x + ", " + pos.y);
-        // axis coordinates for other axes, if present, are in pos.x2, pos.x3, ...
-        // if you need global screen coordinates, they are pos.pageX, pos.pageY
-
-        if (item) {
-          highlight(item.series, item.datapoint);
-          alert("You clicked a point!");
-        }
-    });
-
-The item object in this example is either null or a nearby object on the form:
-
-  item: {
-      datapoint: the point, e.g. [0, 2]
-      dataIndex: the index of the point in the data array
-      series: the series object
-      seriesIndex: the index of the series
-      pageX, pageY: the global screen coordinates of the point
-  }
-
-For instance, if you have specified the data like this 
-
-    $.plot($("#placeholder"), [ { label: "Foo", data: [[0, 10], [7, 3]] } ], ...);
-
-and the mouse is near the point (7, 3), "datapoint" is [7, 3],
-"dataIndex" will be 1, "series" is a normalized series object with
-among other things the "Foo" label in series.label and the color in
-series.color, and "seriesIndex" is 0. Note that plugins and options
-that transform the data can shift the indexes from what you specified
-in the original data array.
-
-If you use the above events to update some other information and want
-to clear out that info in case the mouse goes away, you'll probably
-also need to listen to "mouseout" events on the placeholder div.
-
-"mouseActiveRadius" specifies how far the mouse can be from an item
-and still activate it. If there are two or more points within this
-radius, Flot chooses the closest item. For bars, the top-most bar
-(from the latest specified data series) is chosen.
-
-If you want to disable interactivity for a specific data series, you
-can set "hoverable" and "clickable" to false in the options for that
-series, like this { data: [...], label: "Foo", clickable: false }.
-
-
-Specifying gradients
-====================
-
-A gradient is specified like this:
-
-  { colors: [ color1, color2, ... ] }
-
-For instance, you might specify a background on the grid going from
-black to gray like this:
-
-  grid: {
-    backgroundColor: { colors: ["#000", "#999"] }
-  }
-
-For the series you can specify the gradient as an object that
-specifies the scaling of the brightness and the opacity of the series
-color, e.g.
-
-  { colors: [{ opacity: 0.8 }, { brightness: 0.6, opacity: 0.8 } ] }
-
-where the first color simply has its alpha scaled, whereas the second
-is also darkened. For instance, for bars the following makes the bars
-gradually disappear, without outline:
-
-  bars: {
-      show: true,
-      lineWidth: 0,
-      fill: true,
-      fillColor: { colors: [ { opacity: 0.8 }, { opacity: 0.1 } ] }
-  }
-  
-Flot currently only supports vertical gradients drawn from top to
-bottom because that's what works with IE.
-
-
-Plot Methods
-------------
-
-The Plot object returned from the plot function has some methods you
-can call:
-
-  - highlight(series, datapoint)
-
-    Highlight a specific datapoint in the data series. You can either
-    specify the actual objects, e.g. if you got them from a
-    "plotclick" event, or you can specify the indices, e.g.
-    highlight(1, 3) to highlight the fourth point in the second series
-    (remember, zero-based indexing).
-
-  
-  - unhighlight(series, datapoint) or unhighlight()
-
-    Remove the highlighting of the point, same parameters as
-    highlight.
-
-    If you call unhighlight with no parameters, e.g. as
-    plot.unhighlight(), all current highlights are removed.
-
-
-  - setData(data)
-
-    You can use this to reset the data used. Note that axis scaling,
-    ticks, legend etc. will not be recomputed (use setupGrid() to do
-    that). You'll probably want to call draw() afterwards.
-
-    You can use this function to speed up redrawing a small plot if
-    you know that the axes won't change. Put in the new data with
-    setData(newdata), call draw(), and you're good to go. Note that
-    for large datasets, almost all the time is consumed in draw()
-    plotting the data so in this case don't bother.
-
-    
-  - setupGrid()
-
-    Recalculate and set axis scaling, ticks, legend etc.
-
-    Note that because of the drawing model of the canvas, this
-    function will immediately redraw (actually reinsert in the DOM)
-    the labels and the legend, but not the actual tick lines because
-    they're drawn on the canvas. You need to call draw() to get the
-    canvas redrawn.
-    
-  - draw()
-
-    Redraws the plot canvas.
-
-  - triggerRedrawOverlay()
-
-    Schedules an update of an overlay canvas used for drawing
-    interactive things like a selection and point highlights. This
-    is mostly useful for writing plugins. The redraw doesn't happen
-    immediately, instead a timer is set to catch multiple successive
-    redraws (e.g. from a mousemove). You can get to the overlay by
-    setting up a drawOverlay hook.
-
-  - width()/height()
-
-    Gets the width and height of the plotting area inside the grid.
-    This is smaller than the canvas or placeholder dimensions as some
-    extra space is needed (e.g. for labels).
-
-  - offset()
-
-    Returns the offset of the plotting area inside the grid relative
-    to the document, useful for instance for calculating mouse
-    positions (event.pageX/Y minus this offset is the pixel position
-    inside the plot).
-
-  - pointOffset({ x: xpos, y: ypos })
-
-    Returns the calculated offset of the data point at (x, y) in data
-    space within the placeholder div. If you are working with multiple axes, you
-    can specify the x and y axis references, e.g. 
-
-      o = pointOffset({ x: xpos, y: ypos, xaxis: 2, yaxis: 3 })
-      // o.left and o.top now contains the offset within the div
-
-  - resize()
-
-    Tells Flot to resize the drawing canvas to the size of the
-    placeholder. You need to run setupGrid() and draw() afterwards as
-    canvas resizing is a destructive operation. This is used
-    internally by the resize plugin.
-
-  - shutdown()
-
-    Cleans up any event handlers Flot has currently registered. This
-    is used internally.
-
-
-There are also some members that let you peek inside the internal
-workings of Flot which is useful in some cases. Note that if you change
-something in the objects returned, you're changing the objects used by
-Flot to keep track of its state, so be careful.
-
-  - getData()
-
-    Returns an array of the data series currently used in normalized
-    form with missing settings filled in according to the global
-    options. So for instance to find out what color Flot has assigned
-    to the data series, you could do this:
-
-      var series = plot.getData();
-      for (var i = 0; i < series.length; ++i)
-        alert(series[i].color);
-
-    A notable other interesting field besides color is datapoints
-    which has a field "points" with the normalized data points in a
-    flat array (the field "pointsize" is the increment in the flat
-    array to get to the next point so for a dataset consisting only of
-    (x,y) pairs it would be 2).
-
-  - getAxes()
-
-    Gets an object with the axes. The axes are returned as the
-    attributes of the object, so for instance getAxes().xaxis is the
-    x axis.
-
-    Various things are stuffed inside an axis object, e.g. you could
-    use getAxes().xaxis.ticks to find out what the ticks are for the
-    xaxis. Two other useful attributes are p2c and c2p, functions for
-    transforming from data point space to the canvas plot space and
-    back. Both returns values that are offset with the plot offset.
-    Check the Flot source code for the complete set of attributes (or
-    output an axis with console.log() and inspect it).
-
-    With multiple axes, the extra axes are returned as x2axis, x3axis,
-    etc., e.g. getAxes().y2axis is the second y axis. You can check
-    y2axis.used to see whether the axis is associated with any data
-    points and y2axis.show to see if it is currently shown. 
- 
-  - getPlaceholder()
-
-    Returns placeholder that the plot was put into. This can be useful
-    for plugins for adding DOM elements or firing events.
-
-  - getCanvas()
-
-    Returns the canvas used for drawing in case you need to hack on it
-    yourself. You'll probably need to get the plot offset too.
-  
-  - getPlotOffset()
-
-    Gets the offset that the grid has within the canvas as an object
-    with distances from the canvas edges as "left", "right", "top",
-    "bottom". I.e., if you draw a circle on the canvas with the center
-    placed at (left, top), its center will be at the top-most, left
-    corner of the grid.
-
-  - getOptions()
-
-    Gets the options for the plot, normalized, with default values
-    filled in. You get a reference to actual values used by Flot, so
-    if you modify the values in here, Flot will use the new values.
-    If you change something, you probably have to call draw() or
-    setupGrid() or triggerRedrawOverlay() to see the change.
-    
-
-Hooks
-=====
-
-In addition to the public methods, the Plot object also has some hooks
-that can be used to modify the plotting process. You can install a
-callback function at various points in the process, the function then
-gets access to the internal data structures in Flot.
-
-Here's an overview of the phases Flot goes through:
-
-  1. Plugin initialization, parsing options
-  
-  2. Constructing the canvases used for drawing
-
-  3. Set data: parsing data specification, calculating colors,
-     copying raw data points into internal format,
-     normalizing them, finding max/min for axis auto-scaling
-
-  4. Grid setup: calculating axis spacing, ticks, inserting tick
-     labels, the legend
-
-  5. Draw: drawing the grid, drawing each of the series in turn
-
-  6. Setting up event handling for interactive features
-
-  7. Responding to events, if any
-
-  8. Shutdown: this mostly happens in case a plot is overwritten 
-
-Each hook is simply a function which is put in the appropriate array.
-You can add them through the "hooks" option, and they are also available
-after the plot is constructed as the "hooks" attribute on the returned
-plot object, e.g.
-
-  // define a simple draw hook
-  function hellohook(plot, canvascontext) { alert("hello!"); };
-
-  // pass it in, in an array since we might want to specify several
-  var plot = $.plot(placeholder, data, { hooks: { draw: [hellohook] } });
-
-  // we can now find it again in plot.hooks.draw[0] unless a plugin
-  // has added other hooks
-
-The available hooks are described below. All hook callbacks get the
-plot object as first parameter. You can find some examples of defined
-hooks in the plugins bundled with Flot.
-
- - processOptions  [phase 1]
-
-   function(plot, options)
-   
-   Called after Flot has parsed and merged options. Useful in the
-   instance where customizations beyond simple merging of default
-   values is needed. A plugin might use it to detect that it has been
-   enabled and then turn on or off other options.
-
- 
- - processRawData  [phase 3]
-
-   function(plot, series, data, datapoints)
- 
-   Called before Flot copies and normalizes the raw data for the given
-   series. If the function fills in datapoints.points with normalized
-   points and sets datapoints.pointsize to the size of the points,
-   Flot will skip the copying/normalization step for this series.
-   
-   In any case, you might be interested in setting datapoints.format,
-   an array of objects for specifying how a point is normalized and
-   how it interferes with axis scaling.
-
-   The default format array for points is something along the lines of:
-
-     [
-       { x: true, number: true, required: true },
-       { y: true, number: true, required: true }
-     ]
-
-   The first object means that for the first coordinate it should be
-   taken into account when scaling the x axis, that it must be a
-   number, and that it is required - so if it is null or cannot be
-   converted to a number, the whole point will be zeroed out with
-   nulls. Beyond these you can also specify "defaultValue", a value to
-   use if the coordinate is null. This is for instance handy for bars
-   where one can omit the third coordinate (the bottom of the bar)
-   which then defaults to 0.
-
-
- - processDatapoints  [phase 3]
-
-   function(plot, series, datapoints)
- 
-   Called after normalization of the given series but before finding
-   min/max of the data points. This hook is useful for implementing data
-   transformations. "datapoints" contains the normalized data points in
-   a flat array as datapoints.points with the size of a single point
-   given in datapoints.pointsize. Here's a simple transform that
-   multiplies all y coordinates by 2:
-
-     function multiply(plot, series, datapoints) {
-         var points = datapoints.points, ps = datapoints.pointsize;
-         for (var i = 0; i < points.length; i += ps)
-             points[i + 1] *= 2;
-     }
-
-   Note that you must leave datapoints in a good condition as Flot
-   doesn't check it or do any normalization on it afterwards.
-
-
- - drawSeries  [phase 5]
-
-   function(plot, canvascontext, series)
-
-   Hook for custom drawing of a single series. Called just before the
-   standard drawing routine has been called in the loop that draws
-   each series.
-   
- 
- - draw  [phase 5]
-
-   function(plot, canvascontext)
- 
-   Hook for drawing on the canvas. Called after the grid is drawn
-   (unless it's disabled or grid.aboveData is set) and the series have
-   been plotted (in case any points, lines or bars have been turned
-   on). For examples of how to draw things, look at the source code.
-   
- 
- - bindEvents  [phase 6]
-
-   function(plot, eventHolder)
-
-   Called after Flot has setup its event handlers. Should set any
-   necessary event handlers on eventHolder, a jQuery object with the
-   canvas, e.g.
-
-     function (plot, eventHolder) {
-         eventHolder.mousedown(function (e) {
-             alert("You pressed the mouse at " + e.pageX + " " + e.pageY);
-         });
-     }
-
-   Interesting events include click, mousemove, mouseup/down. You can
-   use all jQuery events. Usually, the event handlers will update the
-   state by drawing something (add a drawOverlay hook and call
-   triggerRedrawOverlay) or firing an externally visible event for
-   user code. See the crosshair plugin for an example.
-     
-   Currently, eventHolder actually contains both the static canvas
-   used for the plot itself and the overlay canvas used for
-   interactive features because some versions of IE get the stacking
-   order wrong. The hook only gets one event, though (either for the
-   overlay or for the static canvas).
-
-   Note that custom plot events generated by Flot are not generated on
-   eventHolder, but on the div placeholder supplied as the first
-   argument to the plot call. You can get that with
-   plot.getPlaceholder() - that's probably also the one you should use
-   if you need to fire a custom event.
-
-
- - drawOverlay  [phase 7]
-
-   function (plot, canvascontext)
-
-   The drawOverlay hook is used for interactive things that need a
-   canvas to draw on. The model currently used by Flot works the way
-   that an extra overlay canvas is positioned on top of the static
-   canvas. This overlay is cleared and then completely redrawn
-   whenever something interesting happens. This hook is called when
-   the overlay canvas is to be redrawn.
-
-   "canvascontext" is the 2D context of the overlay canvas. You can
-   use this to draw things. You'll most likely need some of the
-   metrics computed by Flot, e.g. plot.width()/plot.height(). See the
-   crosshair plugin for an example.
-
-
- - shutdown  [phase 8]
-
-   function (plot, eventHolder)
-
-   Run when plot.shutdown() is called, which usually only happens in
-   case a plot is overwritten by a new plot. If you're writing a
-   plugin that adds extra DOM elements or event handlers, you should
-   add a callback to clean up after you. Take a look at the section in
-   PLUGINS.txt for more info.
-
-   
-Plugins
--------
-
-Plugins extend the functionality of Flot. To use a plugin, simply
-include its Javascript file after Flot in the HTML page.
-
-If you're worried about download size/latency, you can concatenate all
-the plugins you use, and Flot itself for that matter, into one big file
-(make sure you get the order right), then optionally run it through a
-Javascript minifier such as YUI Compressor.
-
-Here's a brief explanation of how the plugin plumbings work:
-
-Each plugin registers itself in the global array $.plot.plugins. When
-you make a new plot object with $.plot, Flot goes through this array
-calling the "init" function of each plugin and merging default options
-from the "option" attribute of the plugin. The init function gets a
-reference to the plot object created and uses this to register hooks
-and add new public methods if needed.
-
-See the PLUGINS.txt file for details on how to write a plugin. As the
-above description hints, it's actually pretty easy.
-
-
-Version number
---------------
-
-The version number of Flot is available in $.plot.version.