FM / Flot

/home/techb158/workloadmatch.com/bower_components/Flot/

/home/techb158/workloadmatch.com/bower_components/Flot

Name	Size	Mode	Actions
examples/	-	0777	rm
.bower.json	434	0777	edit dl rm
.gitignore	40	0777	edit dl rm
.travis.yml	35	0777	edit dl rm
API.md	53572	0777	edit dl rm
component.json	114	0777	edit dl rm
CONTRIBUTING.md	3242	0777	edit dl rm
excanvas.js	41943	0777	edit dl rm
excanvas.min.js	19314	0777	edit dl rm
FAQ.md	3237	0777	edit dl rm
flot.jquery.json	837	0777	edit dl rm
jquery.colorhelpers.js	6151	0777	edit dl rm
jquery.flot.canvas.js	9599	0777	edit dl rm
jquery.flot.categories.js	6033	0777	edit dl rm
jquery.flot.crosshair.js	5419	0777	edit dl rm
jquery.flot.errorbars.js	12614	0777	edit dl rm
jquery.flot.fillbetween.js	5257	0777	edit dl rm
jquery.flot.image.js	7360	0777	edit dl rm
jquery.flot.js	122971	0777	edit dl rm
jquery.flot.navigate.js	14216	0777	edit dl rm
jquery.flot.pie.js	23809	0777	edit dl rm
jquery.flot.resize.js	3314	0777	edit dl rm
jquery.flot.selection.js	13141	0777	edit dl rm
jquery.flot.stack.js	7090	0777	edit dl rm
jquery.flot.symbol.js	2505	0777	edit dl rm
jquery.flot.threshold.js	4480	0777	edit dl rm
jquery.flot.time.js	11768	0777	edit dl rm
jquery.js	266057	0777	edit dl rm
LICENSE.txt	1069	0777	edit dl rm
Makefile	285	0777	edit dl rm
NEWS.md	40290	0777	edit dl rm
package.json	154	0777	edit dl rm
PLUGINS.md	4340	0777	edit dl rm
README.md	3782	0777	edit dl rm

Edit: /home/techb158/workloadmatch.com/bower_components/Flot/jquery.flot.categories.js (6033B)

/* Flot plugin for plotting textual data or categories.

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);

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