File: demos/startbootstrap-sb-admin-2/bower_components/flot/jquery.flot.categories.js

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File: demos/startbootstrap-sb-admin-2/bower_components/flot/jquery.flot.categories.js
Role: Auxiliary script
Content type: text/plain
Description: Auxiliary script
Class: Blapy
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Last change: Update of demos/startbootstrap-sb-admin-2/bower_components/flot/jquery.flot.categories.js
Date: 2 years ago
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/* Flot plugin for plotting textual data or categories. Copyright (c) 2007-2014 IOLA and Ole Laursen. 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);