# Flot Reference #

**Table of Contents**

[Introduction](#introduction)
| [Data Format](#data-format)
| [Plot Options](#plot-options)
| [Customizing the legend](#customizing-the-legend)
| [Customizing the axes](#customizing-the-axes)
| [Multiple axes](#multiple-axes)
| [Time series data](#time-series-data)
| [Customizing the data series](#customizing-the-data-series)
| [Customizing the grid](#customizing-the-grid)
| [Specifying gradients](#specifying-gradients)
| [Plot Methods](#plot-methods)
| [Hooks](#hooks)
| [Plugins](#plugins)
| [Version number](#version-number)

---

## Introduction ##

Consider a call to the plot function:

```js
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](README.md) (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 plot function can also be used as a jQuery chainable property.  This form
naturally can't return the plot object directly, but you can still access it
via the 'plot' data key, like this:

```js
var plot = $("#placeholder").plot(data, options).data("plot");
```

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:

```js
[ series1, series2, ... ]
```

A series can either be raw data or an object with properties. The raw
data format is an array of points:

```js
[ [x1, y1], [x2, y2], ... ]
```

E.g.

```js
[ [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). If you don't specify a third coordinate you can
specify it as a constant for the entire series using "fillTowards" (see the lines
options).

The format of a single series object is as follows:

```js
{
    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
    highlightColor: color or 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:

```js
{
    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
command. 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:

```js
[ { 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.

```js
var options = {
    series: {
        lines: { show: true },
        points: { show: true }
    }
};

$.plot(placeholder, data, options);
```


## Customizing the legend ##

```js
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
    sorted: null/false, true, "ascending", "descending", "reverse", or a comparator
}
```

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:

```js
labelFormatter: function(label, series) {
    // series is the series object for the label
    return '<a href="#' + label + '">' + label + '</a>';
}
```

To prevent a series from showing up in the legend, simply have the function
return null.

"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.

Legend entries appear in the same order as their series by default. If "sorted"
is "reverse" then they appear in the opposite order from their series. To sort
them alphabetically, you can specify true, "ascending" or "descending", where
true and "ascending" are equivalent.

You can also provide your own comparator function that accepts two
objects with "label" and "color" properties, and returns zero if they
are equal, a positive value if the first is greater than the second,
and a negative value if the first is less than the second.

```js
sorted: function(a, b) {
    // sort alphabetically in ascending order
    return a.label == b.label ? 0 : (
        a.label > b.label ? 1 : -1
    )
}
```


## Customizing the axes ##

```js
xaxis, yaxis: {
    show: null or true/false
    position: "bottom" or "top" or "left" or "right"
    mode: null or "time" ("time" requires jquery.flot.time.js plugin)
    inverted: null or true/false
    timezone: null, "browser" or timezone (only makes sense for mode: "time")

    color: null or color spec
    tickColor: null or color spec
    font: null or font spec object

    min: null or number
    max: null or number
    autoScaleMargin: null or number
    windowSize: null or number
    autoScale: "none" or "loose" or "exact" or "sliding-window"
    growOnly: null or boolean

    transform: null or fn: number -> number
    inverseTransform: null or fn: number -> number

    ticks: null or number or ticks array or (fn: axis -> ticks array)
    tickSize: number or array
    minTickSize: number or array
    tickFormatter: (fn: number, object, number -> string) or string
    tickDecimals: null or number

    showTickLabels: "major", "none", "endpoints", or "all"
    labelWidth: null or number
    labelHeight: null or number
    reserveSpace: null or true

    gridLines: null or true

    showTicks: null or true
    showMinorTicks: null or true
    tickLength: null or number

    alignTicksWithAxis: null or number

    offset: null or object({ below: number, above: number })
    boxPosition: { centerX: number, centerY: 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 time plugin (jquery.flot.time.js) is required for time
series support.

The "inverted" options specifies whether the transform and inverseTransform should
include a negating transform which will reverse the axis.

The "color" option determines the color of the line and ticks for the axis, and
defaults to the grid color with transparency. For more fine-grained control you
can also set the color of the ticks separately with "tickColor".

You can customize the font and color used to draw the axis tick labels with CSS
or directly via the "font" option. When "font" is null - the default - each
tick label is given the 'flot-tick-label' class. For compatibility with Flot
0.7 and earlier the labels are also given the 'tickLabel' class, but this is
deprecated and scheduled to be removed with the release of version 1.0.0.

To enable more granular control over styles, labels are divided between a set
of text containers, with each holding the labels for one axis. These containers
are given the classes 'flot-[x|y]-axis', and 'flot-[x|y]#-axis', where '#' is
the number of the axis when there are multiple axes.  For example, the x-axis
labels for a simple plot with only a single x-axis might look like this:

```html
<div class='flot-x-axis flot-x1-axis'>
    <div class='flot-tick-label'>January 2013</div>
    ...
</div>
```

For direct control over label styles you can also provide "font" as an object
with this format:

```js
{
    size: 11,
    lineHeight: 13,
    style: "italic",
    weight: "bold",
    family: "sans-serif",
    variant: "small-caps",
    color: "#545454"
}
```

The size and lineHeight must be expressed in pixels; CSS units such as 'em'
or 'smaller' are not allowed.

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
autoScale option is set to "loose". 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.

The "windowSize" is the range of the plot that will be visible on "sliding-window" autoScale.
If autoScale is not "sliding-window" this option will be ignored. Default value is 100.

The "autoScale" option is used to automatically set the end-points of the axis. There
are three options available: "none" will set the end-points to the "min"/"max" values,
"exact" will set the end-points to minimum/maximum values in the visible area of the plot, and
"loose" will add a margin to the "exact" mode based on the "autoScaleMargin" value. The "sliding-window"
autoScale will always keep a "windowSize" range between axis.min and axis.max. The autoscaling behaviour is also affected by the growOnly flag, described below.
The default autoScale value is "none" for the x axes, and "loose" for y axes.

The "growOnly" option is useful when you want to have a smoother auto-scaling
behavior. If true the scale range will grow to adapt to the data range but won't
shrink back. This will be ignored if autoScale value is "none" or "sliding-window". The default value is false.

"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:

```js
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:

```js
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:

```js
ticks: [0, 1.2, 2.4]
```

Or like this where the labels are also customized:

```js
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:

```js
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 three
parameters, the tick value, an axis object with information and the precision,
and should return a string. The default formatter looks like this:

```js
function formatter(val, axis, precision) {
    return val.toFixed(precision);
}
```

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:

```js
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";
}
```

"showTickLabels" can be used to specify which ticks labels are visible:
"none", "endpoints", "major" or "all". The default is "major".

"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.

"gridLines", if true will draw lines on the grid corresponding to the major ticks
on the axis. If unspecified will default to true for the innermost axes and false
for the others.

"showTicks" specifies whether to draw tick lines at all. Default true.

"showMinorTicks" specifies whether to draw minor tick lines at all. Minor tick
lines are lines subdividing the interval between major tick lines in 5 intervals.
Default true.

"tickLength" is the length of the tick lines in pixels. A value of null means
use the default, while a number means tick lines 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.

"offset" can be used to move the plot area, or to reserve plot space.

"boxPosition" is used to reserve extra space needed in the corresponding axis
box as well as to specify where the axis should be placed inside the box.

## 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:

```js
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):

```js
{
    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 ##

Please note that it is now required to include the time plugin,
jquery.flot.time.js, for time series support.

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

```js
alert((new Date()).getTime())
```

There are different schools of thought when it comes to display of
timestamps. Many will want the timestamps to be displayed according to
a certain time zone, usually the time zone in which the data has been
produced. Some want the localized experience, where the timestamps are
displayed according to the local time of the visitor. Flot supports
both. Optionally you can include a third-party library to get
additional timezone support.

Default behavior is that Flot always displays timestamps according to
UTC. The reason being that the core Javascript Date object does not
support other fixed time zones. Often your data is at another time
zone, so it may take a little bit of tweaking to work around this
limitation.

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:

```php
strtotime("2002-02-20 UTC") * 1000
```

In Python you can get it with something like:

```python
calendar.timegm(datetime_object.timetuple()) * 1000
```
In Ruby you can get it using the `#to_i` method on the
[`Time`](http://apidock.com/ruby/Time/to_i) object. If you're using the
`active_support` gem (default for Ruby on Rails applications) `#to_i` is also
available on the `DateTime` and `ActiveSupport::TimeWithZone` objects. You
simply need to multiply the result by 1000:

```ruby
Time.now.to_i * 1000     # => 1383582043000
# ActiveSupport examples:
DateTime.now.to_i * 1000 # => 1383582043000
ActiveSupport::TimeZone.new('Asia/Shanghai').now.to_i * 1000
# => 1383582043000
```

In .NET you can get it with something like:

```aspx
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).

The 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 with the time zone and daylight savings of each
visitor. This behavior is enabled by setting the axis option
"timezone" to the value "browser".

If you need more time zone functionality than this, there is still
another option. If you include the "timezone-js" library
<https://github.com/mde/timezone-js> in the page and set axis.timezone
to a value recognized by said library, Flot will use timezone-js to
interpret the timestamps according to that time zone.

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:

```js
minTickSize: array
timeformat: null or format string
monthNames: null or array of size 12 of strings
dayNames: null or array of size 7 of strings
twelveHourClock: boolean
```

Here "timeformat" is a format string to use. You might use it like
this:

```js
xaxis: {
    mode: "time",
    timeformat: "%Y/%m/%d"
}
```

This will result in tick labels like "2000/12/24". A subset of the
standard strftime specifiers are supported (plus the nonstandard %q):

```js
%a: weekday name (customizable)
%b: month name (customizable)
%d: day of month, zero-padded (01-31)
%e: day of month, space-padded ( 1-31)
%H: hours, 24-hour time, zero-padded (00-23)
%I: hours, 12-hour time, zero-padded (01-12)
%m: month, zero-padded (01-12)
%M: minutes, zero-padded (00-59)
%q: quarter (1-4)
%S: seconds, zero-padded (00-59)
%y: year (two digits)
%Y: year (four digits)
%p: am/pm
%P: AM/PM (uppercase version of %p)
%w: weekday as number (0-6, 0 being Sunday)
```

Flot 0.8 switched from %h to the standard %H hours specifier. The %h specifier
is still available, for backwards-compatibility, but is deprecated and
scheduled to be removed permanently with the release of version 1.0.

You can customize the month names with the "monthNames" option. For
instance, for Danish you might specify:

```js
monthNames: ["jan", "feb", "mar", "apr", "maj", "jun", "jul", "aug", "sep", "okt", "nov", "dec"]
```

Similarly you can customize the weekday names with the "dayNames"
option. An example in French:

```js
dayNames: ["dim", "lun", "mar", "mer", "jeu", "ven", "sam"]
```

If you set "twelveHourClock" to true, the autogenerated timestamps
will use 12 hour AM/PM timestamps instead of 24 hour. This only
applies if you have not set "timeformat". Use the "%I" and "%p" or
"%P" options if you want to build your own format string with 12-hour
times.

If the Date object has a strftime property (and it is a function), it
will be used instead of the built-in formatter. Thus you can include
a strftime library such as http://hacks.bluesmoon.info/strftime/ for
more powerful date/time formatting.

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:

```js
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

```js
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 ##

```js
series: {
    lines, points, bars: {
        show: boolean
        lineWidth: number
        fill: boolean or number
        fillColor: null or color/gradient
    }

    lines, bars: {
        zero: boolean
    }

    points: {
        radius: number
        symbol: "circle" or function
    }

    bars: {
        barWidth: number or array
        align: "left", "right" or "center"
        horizontal: boolean
    }

    lines: {
        steps: boolean
    }

    shadowSize: number
    highlightColor: color or 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.

```js
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 relative to the minimum distance
between points. If the absolute flag is provided, the width
of the bar will be 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), right-aligned 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.

Area and bar charts normally start from zero, regardless of the data's range.
This is because they convey information through size, and starting from a
different value would distort their meaning. In cases where the fill is purely
for decorative purposes, however, "zero" allows you to override this behavior.
It defaults to true for filled lines and bars; setting it to false tells the
series to use the same automatic scaling as an un-filled line. If you want the
area filled toward a different value (+Infinity and -Infinity are good examples)
you can use the "fillTowards" option.

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:

```js
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.

"highlightColor" is the default color of the translucent overlay used
to highlight the series when the mouse hovers over it.

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:

```js
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 ##

```js
grid: {
    show: boolean
    aboveData: boolean
    color: color
    backgroundColor: color/gradient or null
    margin: number or margin object
    labelMargin: number
    axisMargin: number
    markings: array of markings or (fn: axes -> array of markings)
    borderWidth: number or object with "top", "right", "bottom" and "left" properties with different widths
    borderColor: color or null or object with "top", "right", "bottom" and "left" properties with different colors
    minBorderMargin: number or null
    clickable: boolean
    hoverable: boolean
    autoHighlight: boolean
    mouseActiveRadius: number
}

interaction: {
    redrawOverlayInterval: number or -1
}
```

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).

"margin" is the space in pixels between the canvas edge and the grid,
which can be either a number or an object with individual margins for
each side, in the form:

```js
margin: {
    top: top margin in pixels
    left: left margin in pixels
    bottom: bottom margin in pixels
    right: right margin in pixels
}
```

"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.

"borderWidth" is the width of the border around the plot. Set it to 0
to disable the border. Set it to an object with "top", "right",
"bottom" and "left" properties to use different widths. You can
also set "borderColor" if you want the border to have a different color
than the grid lines. Set it to an object with "top", "right", "bottom"
and "left" properties to use different colors. "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:

```js
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.

```js
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:

```js
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.

In case hoverable is set to true, plothovercleanup event will be triggered
on or pinc interaction or if setData() function is called.

You can use "plotclick" and "plothover" events like this:

```js
$.plot($("#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:

```js
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

```js
$.plot($("#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:

```js
{ data: [...], label: "Foo", clickable: false }
```

"redrawOverlayInterval" specifies the maximum time to delay a redraw
of interactive things (this works as a rate limiting device). The
default is capped to 60 frames per second. You can set it to -1 to
disable the rate limiting.


## Specifying gradients ##

A gradient is specified like this:

```js
{ colors: [ color1, color2, ... ] }
```

For instance, you might specify a background on the grid going from
black to gray like this:

```js
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.

```js
{ 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:

```js
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(autoScale)

    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.

    If autoScale is truthy then the axis will be autoscaled to the data
    according to the axis.autoScale options

 - 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.
    This function will also trigger the dispatching of the
    'onDrawingDone' custom event, which can be used to notify listeners
    (drawOverlay hooks) about the finishing of a drawing operation.
    Use addEventListener('onDrawingDone', callback) and
    removeEventListener('onDrawingDone', callback), to register and unregister
    handlers for 'onDrawingDone' event.

 - 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.

    ```js
      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.

 - findNearbyItem(mouseX, mouseY, seriesFilter, radius, computeDistance)

    Returns the closest item to the position determined by mouseX and
    mouseY. The series on which the search is realized can be specified
    using seriesFilter function.
    The search area will be a circle if the function is called without the
    last parameter, otherwise the distance will be computed based on given
    function.

 - findNearbyInterpolationPoint(posX, posY, seriesFilter)

    Returns the interpolation on Y axis between the nearest points determined by
    posX and posY. The series on which the search is realized can be specified
    using seriesFilter function.

 - computeValuePrecision(min, max, direction, ticks, tickDecimals)

    Used for determining the the precision for a certain axis.
    If the tickDecimals is specified, the maximum precision
    would be at most tickDecimals. Otherwise, it would be computed
    based on the axis minimum and maximum and the number of ticks.

 - computeTickSize (min, max, noTicks, tickDecimals)

    Returns the size used for axis ticks. 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:

    ```js
    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.

  - getSurface()

    Returns a wrapper over a canvas element that offers additional support
    for measuring and writing text. See the CanvasWrapper plugin.

  - getEventHolder()

    Returns the event holder element.

  - 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.

  - computeRangeForDataSeries(series, force)

    Computes the minimum and the maximum values of the specified series.
    If the autoScale of the x axis is set to 'none' then the corresponding
    minimum and maximum will be Infinity and -Infinity respectively.
    The computation will be skiped for the y axis as well when autoScale
    of this axis is set to 'none'. Pass true to the force argument
    to force the computation regardless the autoScale value of the axis.

  - adjustSeriesDataRange(series, range)

    Adjusts the minimum and the maximum values based on the options of
    the series. For example if bars are being drawn then this function
    will decrease the minimum and increase the maximum to make sure the
    first and the last bar will have enough space.


## Utils ##
There are some features, which may not fall explicitly into plugins category.

  - composeImages(sources, destinationCanvas)

ComposeImages allows you pass to it several canvases and SVGs as part of the
plots themselves, and overlaps them to create a downloadable image.
*composeImages* is a function, which takes as input an array of canvases
and SVGs, and outputs a canvas which contains the overlapped inputs, in the same
order they exist in the array. The output canvas can be externally converted to
a downloadable image. Some browser even support downloading canvases.

How to use *composeImages* function:
```js
function composeImagesOnClick() {
    var sources = [myCanvas, mySvg, myOtherCanvas, myOtherSvg],
        destinationCanvas = document.getElementById('destinationCanvas'),
        destinationImage = document.getElementById('destinationImage');
    $.plot.composeImages(sources, destinationCanvas)
        .then(function() {
            destinationImage.width = destinationCanvas.width;
            destinationImage.height = destinationCanvas.height;
            destinationImage.src = destinationCanvas.toDataURL('image/png');
        });
}
```

  - getPageXY(e)

This function calculates the pageX and pageY which are not valid
while running the tests with Edge and creating events using the
recommended WheelEvent or MouseEvent constructors.

```js
var page = $.plot.browser.getPageXY(e);
console.log(page.X === e.pageX); // true unless the event was constructed in Edge
console.log(page.Y === e.pageY); // true unless the event was constructed in Edge
```

  - getPixelRatio(context)

Determine the screen's ratio of physical to device-independent
pixels.  This is the ratio between the canvas width that the browser
advertises and the number of pixels actually present in that space.

The iPhone 4, for example, has a device-independent width of 320px,
but its screen is actually 640px wide.  It therefore has a pixel
ratio of 2, while most normal devices have a ratio of 1.

```js
var pixelRatio = $.plot.browser.getPixelRatio(canvas.getContext('2d'));
```

  - isSafari()
  - isMobileSafari()

```js
console.log($.plot.browser.isSafari()); // true when running on Safari
console.log($.plot.browser.isMobileSafari()); // true when running on Mobile Safari
```

## 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.

```js
  // 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. It accepts the following options:

    ```js
    {
        x, y: boolean,
        number: boolean,
        required: boolean,
        defaultValue: value,
        autoScale: boolean
    }
    ```

    "x" and "y" specify whether the value is plotted against the x or y axis,
    and is currently used only to calculate axis min-max ranges. The default
    format array, for example, looks like this:

    ```js
    [
        { x: true, number: true, required: true },
        { y: true, number: true, required: true }
    ]
    ```

    This indicates that a point, i.e. [0, 25], consists of two values, with the
    first being plotted on the x axis and the second on the y axis.

    If "number" is true, then the value must be numeric, and is set to null if
    it cannot be converted to a number.

    "defaultValue" provides a fallback in case the original value 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 zero.

    If "required" is true, then the value must exist (be non-null) for the
    point as a whole to be valid. If no value is provided, then the entire
    point is cleared out with nulls, turning it into a gap in the series.

    "autoScale" determines whether the value is considered when calculating an
    automatic min-max range for the axes that the value is plotted against.

 - 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:

    ```js
    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.

 - processOffset  [phase 4]

    ```function(plot, offset)```

    Called after Flot has initialized the plot's offset, but before it
    draws any axes or plot elements. This hook is useful for customizing
    the margins between the grid and the edge of the canvas. "offset" is
    an object with attributes "top", "bottom", "left" and "right",
    corresponding to the margins on the four sides of the plot.

 - adjustSeriesDataRange [phase 4]

   ```function(series, range)```

   Called after the minimum and the maximum of a series were computed and
   adjusted. This is an extra opportunity to do further adjustments.

 - setRange [phase 4]

   ```function(plot, axis)```

   Called before computing the range for axis. This can be used for adjusting
   the axis minimum or maximum.


 - drawBackground [phase 5]

    ```function(plot, canvascontext)```

    Called before all other drawing operations. Used to draw backgrounds
    or other custom elements before the plot or axes have been drawn.

 - drawSeries  [phase 5]

    ```function(plot, canvascontext, serie, i, getColorOrGradient)```

    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.

    ```js
    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.

    This hook dispatches the 'onDrawingDone' custom event.
    It notifies listeners about the finishing of a drawing operation.
    Use addEventListener('onDrawingDone', callback) and
    removeEventListener('onDrawingDone', callback), to register and unregister
    handlers for 'onDrawingDone' event.

 - resize   [phase 7]

    ```function (plot, width, height)```

    The resize hook is used to be notified after the plot was resized.

 - 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
    the [PLUGINS](PLUGINS.md) document 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](PLUGINS.md) document for details on how to write a plugin. As the
above description hints, it's actually pretty easy.

Some of the flot plugins add new functionalities (like touch support), while other are parts spliced out of the main jquery.flot.js and grouped based on commune functionalities.
Read the documentation of some of the most used plugins of flot:
* [jquery.flot.absRelTime.js](absRelTime.md)
* [jquery.flot.browser.js](browser.md)
* [jquery.canvaswrapper.js](canvaswrapper.md)
* [jquery.flot.composeImages.js](composeImages.md)
* [jquery.flot.drawSeries.js](drawSeries.md)
* [jquery.flot.hover.js](hover.md)
* [jquery.flot.logaxis.js](logaxis.md)
* [jquery.flot.navigate.js](navigate.md)


## Version number ##

The version number of Flot is available in ```$.plot.version```.
