/
home
/
techb158
/
workloadmatch.com
/
workloadmatch.com
/
bower_components
/
Flot
/
/home/techb158/workloadmatch.com/workloadmatch.com/bower_components/Flot
mkdir
upload
Name
Size
Mode
Actions
examples/
-
0755
rm
.bower.json
434
0644
edit
dl
rm
.gitignore
40
0644
edit
dl
rm
.travis.yml
35
0644
edit
dl
rm
API.md
53572
0644
edit
dl
rm
component.json
114
0644
edit
dl
rm
CONTRIBUTING.md
3242
0644
edit
dl
rm
excanvas.js
41943
0644
edit
dl
rm
excanvas.min.js
19314
0644
edit
dl
rm
FAQ.md
3237
0644
edit
dl
rm
flot.jquery.json
837
0644
edit
dl
rm
jquery.colorhelpers.js
6151
0644
edit
dl
rm
jquery.flot.canvas.js
9599
0644
edit
dl
rm
jquery.flot.categories.js
6033
0644
edit
dl
rm
jquery.flot.crosshair.js
5419
0644
edit
dl
rm
jquery.flot.errorbars.js
12614
0644
edit
dl
rm
jquery.flot.fillbetween.js
5257
0644
edit
dl
rm
jquery.flot.image.js
7360
0644
edit
dl
rm
jquery.flot.js
122971
0644
edit
dl
rm
jquery.flot.navigate.js
14216
0644
edit
dl
rm
jquery.flot.pie.js
23809
0644
edit
dl
rm
jquery.flot.resize.js
3314
0644
edit
dl
rm
jquery.flot.selection.js
13141
0644
edit
dl
rm
jquery.flot.stack.js
7090
0644
edit
dl
rm
jquery.flot.symbol.js
2505
0644
edit
dl
rm
jquery.flot.threshold.js
4480
0644
edit
dl
rm
jquery.flot.time.js
11768
0644
edit
dl
rm
jquery.js
266057
0644
edit
dl
rm
LICENSE.txt
1069
0644
edit
dl
rm
Makefile
285
0644
edit
dl
rm
NEWS.md
40290
0644
edit
dl
rm
package.json
154
0644
edit
dl
rm
PLUGINS.md
4340
0644
edit
dl
rm
README.md
3782
0644
edit
dl
rm
Edit:
/home/techb158/workloadmatch.com/workloadmatch.com/bower_components/Flot/jquery.flot.categories.js
(6033B)
/* 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);
Save
cmd:
run