--- /dev/null
+/* Flot plugin for plotting textual data or categories.
+
+Copyright (c) 2007-2013 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);
Code Review / stor4nfv.git / blobdiff