New categories plugin with support for plotting categories/textual
data directly; also tick generators now get the whole axis rather than just min/maxpull/1/head
parent
b52f74e5c5
commit
93c7c941f4
@ -0,0 +1,40 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
|
||||
<html>
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
|
||||
<title>Flot Examples</title>
|
||||
<link href="layout.css" rel="stylesheet" type="text/css">
|
||||
<!--[if lte IE 8]><script language="javascript" type="text/javascript" src="../excanvas.min.js"></script><![endif]-->
|
||||
<script language="javascript" type="text/javascript" src="../jquery.js"></script>
|
||||
<script language="javascript" type="text/javascript" src="../jquery.flot.js"></script>
|
||||
<script language="javascript" type="text/javascript" src="../jquery.flot.categories.js"></script>
|
||||
</head>
|
||||
<body>
|
||||
<h1>Flot Examples</h1>
|
||||
|
||||
<div id="placeholder" style="width:600px;height:300px;"></div>
|
||||
|
||||
<p>With the categories plugin you can plot categories/textual data
|
||||
easily.</p>
|
||||
|
||||
<script type="text/javascript">
|
||||
$(function () {
|
||||
var data = [ ["January", 10], ["February", 8], ["March", 4], ["April", 13], ["May", 17], ["June", 9] ];
|
||||
|
||||
$.plot($("#placeholder"), [ data ], {
|
||||
series: {
|
||||
bars: {
|
||||
show: true,
|
||||
barWidth: 0.6,
|
||||
align: "center" }
|
||||
},
|
||||
xaxis: {
|
||||
mode: "categories",
|
||||
tickLength: 0
|
||||
}
|
||||
});
|
||||
});
|
||||
</script>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -0,0 +1,189 @@
|
||||
/*
|
||||
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.
|
||||
|
||||
$.plot("#placeholder", data, { xaxis: { mode: "categories" } });
|
||||
|
||||
By default, the labels are ordered as they are met in the data series.
|
||||
If you need a different ordering, you can specify "categories" on the
|
||||
axis options and list the categories there:
|
||||
|
||||
xaxis: {
|
||||
mode: "categories",
|
||||
categories: ["February", "March", "April"]
|
||||
}
|
||||
|
||||
If you need to customize the distances between the categories, you can
|
||||
specify "categories" as an object mapping labels to values
|
||||
|
||||
xaxis: {
|
||||
mode: "categories",
|
||||
categories: { "February": 1, "March": 3, "April": 4 }
|
||||
}
|
||||
|
||||
If you don't specify all categories, the remaining encountered
|
||||
categories will be numbered from the max value plus 1 (with a spacing
|
||||
of 1 between each).
|
||||
|
||||
|
||||
Internally, the plugin works by transforming the input data through an
|
||||
auto-generated mapping where the first category becomes 0, the second
|
||||
1, etc. Hence, a point like ["February", 34] becomes [0, 34]
|
||||
internally in Flot (this is visible in hover and click events that
|
||||
return numbers rather than the category labels). The plugin also
|
||||
overrides the tick generator to spit out the categories as ticks
|
||||
instead of the values.
|
||||
|
||||
If you need to map a value back to its label, the mapping is always
|
||||
accessible as "categories" on the axis object, e.g.
|
||||
plot.getAxes().xaxis.categories.
|
||||
*/
|
||||
|
||||
(function ($) {
|
||||
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)) {
|
||||
format.push({ y: true, number: true, required: false, defaultValue: 0 });
|
||||
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);
|
||||
Loading…
Reference in New Issue