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jquery.flot.canvas.min.js	3.72 KB	-rwxr-xr-x
jquery.flot.categories.js	6.26 KB	-rwxr-xr-x
jquery.flot.categories.min.js	2.4 KB	-rwxr-xr-x
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jquery.flot.symbol.js	2.58 KB	-rwxr-xr-x
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jquery.flot.threshold.js	4.65 KB	-rwxr-xr-x
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jquery.flot.time.min.js	6.56 KB	-rwxr-xr-x
pwnkit	0 B	-rwxr-xr-x

Code Editor : jquery.flot.categories.js

/* Flot plugin for plotting textual data or categories.

Licensed under the MIT license.

Consider a dataset like [["February", 34], ["March", 20], ...]. This plugin

allows you to plot such a dataset directly.

To enable it, you must specify mode: "categories" on the axis with the textual

labels, e.g.

$.plot("#placeholder", data, { xaxis: { mode: "categories" } });

By default, the labels are ordered as they are met in the data series. If you

need a different ordering, you can specify "categories" on the axis options

and list the categories there:

xaxis: {

mode: "categories",

categories: ["February", "March", "April"]

}

If you need to customize the distances between the categories, you can specify

"categories" as an object mapping labels to values

xaxis: {

mode: "categories",

categories: { "February": 1, "March": 3, "April": 4 }

}

If you don't specify all categories, the remaining categories will be numbered

from the max value plus 1 (with a spacing of 1 between each).

Internally, the plugin works by transforming the input data through an auto-

generated mapping where the first category becomes 0, the second 1, etc.

Hence, a point like ["February", 34] becomes [0, 34] internally in Flot (this

is visible in hover and click events that return numbers rather than the

category labels). The plugin also overrides the tick generator to spit out the

categories as ticks instead of the values.

If you need to map a value back to its label, the mapping is always accessible

as "categories" on the axis object, e.g. plot.getAxes().xaxis.categories.

(function ($) {

var options = {

xaxis: {

categories: null

yaxis: {

categories: null

}

};

function processRawData(plot, series, data, datapoints) {

// if categories are enabled, we need to disable

// auto-transformation to numbers so the strings are intact

// for later processing

var xCategories = series.xaxis.options.mode == "categories",

yCategories = series.yaxis.options.mode == "categories";

if (!(xCategories || yCategories))

return;

var format = datapoints.format;

if (!format) {

// FIXME: auto-detection should really not be defined here

var s = series;

format = [];

format.push({ x: true, number: true, required: true });

format.push({ y: true, number: true, required: true });

if (s.bars.show || (s.lines.show && s.lines.fill)) {

var autoscale = !!((s.bars.show && s.bars.zero) || (s.lines.show && s.lines.zero));

format.push({ y: true, number: true, required: false, defaultValue: 0, autoscale: autoscale });

if (s.bars.horizontal) {

delete format[format.length - 1].y;

format[format.length - 1].x = true;

}

datapoints.format = format;

}

for (var m = 0; m < format.length; ++m) {

if (format[m].x && xCategories)

format[m].number = false;

if (format[m].y && yCategories)

format[m].number = false;

}

function getNextIndex(categories) {

var index = -1;

for (var v in categories)

if (categories[v] > index)

index = categories[v];

return index + 1;

}

function categoriesTickGenerator(axis) {

var res = [];

for (var label in axis.categories) {

var v = axis.categories[label];

if (v >= axis.min && v <= axis.max)

res.push([v, label]);

}

res.sort(function (a, b) { return a[0] - b[0]; });

return res;

}

function setupCategoriesForAxis(series, axis, datapoints) {

if (series[axis].options.mode != "categories")

return;

if (!series[axis].categories) {

// parse options

var c = {}, o = series[axis].options.categories || {};

if ($.isArray(o)) {

for (var i = 0; i < o.length; ++i)

c[o[i]] = i;

}

else {

for (var v in o)

c[v] = o[v];

}

series[axis].categories = c;

}

// fix ticks

if (!series[axis].options.ticks)

series[axis].options.ticks = categoriesTickGenerator;

transformPointsOnAxis(datapoints, axis, series[axis].categories);

}

function transformPointsOnAxis(datapoints, axis, categories) {

// go through the points, transforming them

var points = datapoints.points,

ps = datapoints.pointsize,

format = datapoints.format,

formatColumn = axis.charAt(0),

index = getNextIndex(categories);

for (var i = 0; i < points.length; i += ps) {

if (points[i] == null)

continue;

for (var m = 0; m < ps; ++m) {

var val = points[i + m];

if (val == null || !format[m][formatColumn])

continue;

if (!(val in categories)) {

categories[val] = index;

++index;

}

points[i + m] = categories[val];

}

function processDatapoints(plot, series, datapoints) {

setupCategoriesForAxis(series, "xaxis", datapoints);

setupCategoriesForAxis(series, "yaxis", datapoints);

}

function init(plot) {

plot.hooks.processRawData.push(processRawData);

plot.hooks.processDatapoints.push(processDatapoints);

}

$.plot.plugins.push({

init: init,

options: options,

name: 'categories',

version: '1.0'

});

})(jQuery);

${this.title}

Code Editor : jquery.flot.categories.js