Update jflot plugin

htdocs/includes/jquery/plugins/flot/jquery.flot.categories.min.js

@@ -1,44 +1,7 @@
-/* Flot plugin for plotting textual data or categories.
+/* Javascript plotting library for jQuery, version 0.8.3.
 
-Copyright (c) 2007-2013 IOLA and Ole Laursen.
+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(e){function n(e,t,n,r){var i=t.xaxis.options.mode=="categories",s=t.yaxis.options.mode=="categories";if(!i&&!s)return;var o=r.format;if(!o){var u=t;o=[],o.push({x:!0,number:!0,required:!0}),o.push({y:!0,number:!0,required:!0});if(u.bars.show||u.lines.show&&u.lines.fill){var a=!!(u.bars.show&&u.bars.zero||u.lines.show&&u.lines.zero);o.push({y:!0,number:!0,required:!1,defaultValue:0,autoscale:a}),u.bars.horizontal&&(delete o[o.length-1].y,o[o.length-1].x=!0)}r.format=o}for(var f=0;f<o.length;++f)o[f].x&&i&&(o[f].number=!1),o[f].y&&s&&(o[f].number=!1)}function r(e){var t=-1;for(var n in e)e[n]>t&&(t=e[n]);return t+1}function i(e){var t=[];for(var n in e.categories){var r=e.categories[n];r>=e.min&&r<=e.max&&t.push([r,n])}return t.sort(function(e,t){return e[0]-t[0]}),t}function s(t,n,r){if(t[n].options.mode!="categories")return;if(!t[n].categories){var s={},u=t[n].options.categories||{};if(e.isArray(u))for(var a=0;a<u.length;++a)s[u[a]]=a;else for(var f in u)s[f]=u[f];t[n].categories=s}t[n].options.ticks||(t[n].options.ticks=i),o(r,n,t[n].categories)}function o(e,t,n){var i=e.points,s=e.pointsize,o=e.format,u=t.charAt(0),a=r(n);for(var f=0;f<i.length;f+=s){if(i[f]==null)continue;for(var l=0;l<s;++l){var c=i[f+l];if(c==null||!o[l][u])continue;c in n||(n[c]=a,++a),i[f+l]=n[c]}}}function u(e,t,n){s(t,"xaxis",n),s(t,"yaxis",n)}function a(e){e.hooks.processRawData.push(n),e.hooks.processDatapoints.push(u)}var t={xaxis:{categories:null},yaxis:{categories:null}};e.plot.plugins.push({init:a,options:t,name:"categories",version:"1.0"})})(jQuery);
+*/
+(function($){var options={xaxis:{categories:null},yaxis:{categories:null}};function processRawData(plot,series,data,datapoints){var xCategories=series.xaxis.options.mode=="categories",yCategories=series.yaxis.options.mode=="categories";if(!(xCategories||yCategories))return;var format=datapoints.format;if(!format){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){var c={},o=series[axis].options.categories||{};if($.isArray(o)){for(var i=0;i<o.length;++i)c[o[i]]=i}else{for(var v in o)c[v]=o[v]}series[axis].categories=c}if(!series[axis].options.ticks)series[axis].options.ticks=categoriesTickGenerator;transformPointsOnAxis(datapoints,axis,series[axis].categories)}function transformPointsOnAxis(datapoints,axis,categories){var points=datapoints.points,ps=datapoints.pointsize,format=datapoints.format,formatColumn=axis.charAt(0),index=getNextIndex(categories);for(var i=0;i<points.length;i+=ps){if(points[i]==null)continue;for(var m=0;m<ps;++m){var val=points[i+m];if(val==null||!format[m][formatColumn])continue;if(!(val in categories)){categories[val]=index;++index}points[i+m]=categories[val]}}}function processDatapoints(plot,series,datapoints){setupCategoriesForAxis(series,"xaxis",datapoints);setupCategoriesForAxis(series,"yaxis",datapoints)}function init(plot){plot.hooks.processRawData.push(processRawData);plot.hooks.processDatapoints.push(processDatapoints)}$.plot.plugins.push({init:init,options:options,name:"categories",version:"1.0"})})(jQuery);