added vendor directory and gulp support for better dependency organization and compiling less and js files
removed timeline css and merged it with the theme css and added gulp support for a browser sync task as well for easier development removed composer package until the repo issue is resolved - added minified versions into the bower.json for when the repo issue is resolved
This commit is contained in:
David Miller
190
vendor/flot/jquery.flot.categories.js
vendored
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190
vendor/flot/jquery.flot.categories.js
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/* Flot plugin for plotting textual data or categories.
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Copyright (c) 2007-2014 IOLA and Ole Laursen.
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Licensed under the MIT license.
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Consider a dataset like [["February", 34], ["March", 20], ...]. This plugin
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allows you to plot such a dataset directly.
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To enable it, you must specify mode: "categories" on the axis with the textual
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labels, e.g.
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$.plot("#placeholder", data, { xaxis: { mode: "categories" } });
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By default, the labels are ordered as they are met in the data series. If you
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need a different ordering, you can specify "categories" on the axis options
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and list the categories there:
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xaxis: {
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mode: "categories",
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categories: ["February", "March", "April"]
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}
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If you need to customize the distances between the categories, you can specify
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"categories" as an object mapping labels to values
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xaxis: {
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mode: "categories",
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categories: { "February": 1, "March": 3, "April": 4 }
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}
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If you don't specify all categories, the remaining categories will be numbered
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from the max value plus 1 (with a spacing of 1 between each).
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Internally, the plugin works by transforming the input data through an auto-
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generated mapping where the first category becomes 0, the second 1, etc.
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Hence, a point like ["February", 34] becomes [0, 34] internally in Flot (this
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is visible in hover and click events that return numbers rather than the
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category labels). The plugin also overrides the tick generator to spit out the
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categories as ticks instead of the values.
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If you need to map a value back to its label, the mapping is always accessible
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as "categories" on the axis object, e.g. plot.getAxes().xaxis.categories.
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*/
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(function ($) {
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var options = {
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xaxis: {
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categories: null
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},
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yaxis: {
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categories: null
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}
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};
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function processRawData(plot, series, data, datapoints) {
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// if categories are enabled, we need to disable
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// auto-transformation to numbers so the strings are intact
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// for later processing
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var xCategories = series.xaxis.options.mode == "categories",
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yCategories = series.yaxis.options.mode == "categories";
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if (!(xCategories || yCategories))
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return;
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var format = datapoints.format;
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if (!format) {
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// FIXME: auto-detection should really not be defined here
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var s = series;
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format = [];
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format.push({ x: true, number: true, required: true });
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format.push({ y: true, number: true, required: true });
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if (s.bars.show || (s.lines.show && s.lines.fill)) {
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var autoscale = !!((s.bars.show && s.bars.zero) || (s.lines.show && s.lines.zero));
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format.push({ y: true, number: true, required: false, defaultValue: 0, autoscale: autoscale });
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if (s.bars.horizontal) {
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delete format[format.length - 1].y;
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format[format.length - 1].x = true;
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}
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}
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datapoints.format = format;
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}
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for (var m = 0; m < format.length; ++m) {
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if (format[m].x && xCategories)
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format[m].number = false;
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if (format[m].y && yCategories)
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format[m].number = false;
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}
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}
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function getNextIndex(categories) {
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var index = -1;
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for (var v in categories)
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if (categories[v] > index)
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index = categories[v];
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return index + 1;
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}
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function categoriesTickGenerator(axis) {
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var res = [];
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for (var label in axis.categories) {
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var v = axis.categories[label];
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if (v >= axis.min && v <= axis.max)
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res.push([v, label]);
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}
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res.sort(function (a, b) { return a[0] - b[0]; });
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return res;
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}
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function setupCategoriesForAxis(series, axis, datapoints) {
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if (series[axis].options.mode != "categories")
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return;
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if (!series[axis].categories) {
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// parse options
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var c = {}, o = series[axis].options.categories || {};
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if ($.isArray(o)) {
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for (var i = 0; i < o.length; ++i)
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c[o[i]] = i;
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}
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else {
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for (var v in o)
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c[v] = o[v];
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}
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series[axis].categories = c;
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}
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// fix ticks
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if (!series[axis].options.ticks)
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series[axis].options.ticks = categoriesTickGenerator;
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transformPointsOnAxis(datapoints, axis, series[axis].categories);
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}
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function transformPointsOnAxis(datapoints, axis, categories) {
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// go through the points, transforming them
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var points = datapoints.points,
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ps = datapoints.pointsize,
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format = datapoints.format,
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formatColumn = axis.charAt(0),
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index = getNextIndex(categories);
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for (var i = 0; i < points.length; i += ps) {
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if (points[i] == null)
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continue;
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for (var m = 0; m < ps; ++m) {
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var val = points[i + m];
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if (val == null || !format[m][formatColumn])
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continue;
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if (!(val in categories)) {
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categories[val] = index;
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++index;
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}
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points[i + m] = categories[val];
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}
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}
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}
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function processDatapoints(plot, series, datapoints) {
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setupCategoriesForAxis(series, "xaxis", datapoints);
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setupCategoriesForAxis(series, "yaxis", datapoints);
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}
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function init(plot) {
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plot.hooks.processRawData.push(processRawData);
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plot.hooks.processDatapoints.push(processDatapoints);
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}
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$.plot.plugins.push({
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init: init,
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options: options,
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name: 'categories',
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version: '1.0'
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});
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})(jQuery);
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