Add jquery and flot to catapult/third_party.

third_party/flot/jquery.flot.categories.js

+/* 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);