FM / flot

/home/techb158/immovalet.ca/report/bower_components/flot/

/home/techb158/immovalet.ca/report/bower_components/flot

Name	Size	Mode	Actions
examples/	-	0777	rm
.bower.json	449	0666	edit dl rm
.gitignore	43	0666	edit dl rm
.travis.yml	38	0666	edit dl rm
API.md	53572	0666	edit dl rm
component.json	114	0666	edit dl rm
CONTRIBUTING.md	3242	0666	edit dl rm
excanvas.js	43371	0666	edit dl rm
excanvas.min.js	19314	0666	edit dl rm
FAQ.md	3237	0666	edit dl rm
flot.jquery.json	836	0666	edit dl rm
jquery.colorhelpers.js	6331	0666	edit dl rm
jquery.flot.canvas.js	9944	0666	edit dl rm
jquery.flot.categories.js	6223	0666	edit dl rm
jquery.flot.crosshair.js	5601	0666	edit dl rm
jquery.flot.errorbars.js	12967	0666	edit dl rm
jquery.flot.fillbetween.js	5483	0666	edit dl rm
jquery.flot.image.js	7601	0666	edit dl rm
jquery.flot.js	124764	0666	edit dl rm
jquery.flot.navigate.js	14536	0666	edit dl rm
jquery.flot.pie.js	24451	0666	edit dl rm
jquery.flot.resize.js	3195	0666	edit dl rm
jquery.flot.selection.js	13501	0666	edit dl rm
jquery.flot.stack.js	7278	0666	edit dl rm
jquery.flot.symbol.js	2576	0666	edit dl rm
jquery.flot.threshold.js	4622	0666	edit dl rm
jquery.flot.time.js	12160	0666	edit dl rm
jquery.js	275529	0666	edit dl rm
LICENSE.txt	1091	0666	edit dl rm
Makefile	297	0666	edit dl rm
NEWS.md	38339	0666	edit dl rm
package.json	154	0666	edit dl rm
PLUGINS.md	4340	0666	edit dl rm
README.md	3782	0666	edit dl rm

Edit: /home/techb158/immovalet.ca/report/bower_components/flot/jquery.flot.categories.js (6223B)

/* 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);

cmd: