* Moved flot in ui-shared-deps and leavt only one version. * Removed unneeded import * use commonJS so we can execute code between loading specific modules * prefix i18n keys with flot. * Fix Internationalization * remove duplicate pie plugin Co-authored-by: spalger <spalger@users.noreply.github.com> Co-authored-by: Kibana Machine <42973632+kibanamachine@users.noreply.github.com>
190 lines
5.9 KiB
JavaScript
190 lines
5.9 KiB
JavaScript
/* 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);
|