core/api/admin_skin/js/chart-flot.js

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2022-12-11 13:55:49 +05:00
/**
* @Package: Ultra Admin HTML Theme
* @Since: Ultra 1.0
* This file is part of Ultra Admin Theme HTML package.
*/
jQuery(function($) {
'use strict';
var ULTRA_SETTINGS = window.ULTRA_SETTINGS || {};
/*--------------------------------
Flot Chart
--------------------------------*/
ULTRA_SETTINGS.chartFlot = function() {
/*------------------ Real Time ------------------------*/
// We use an inline data source in the example, usually data would
// be fetched from a server
var rtdata = [],
totalPoints = 300;
function RealTimegetRandomData() {
if (rtdata.length > 0)
rtdata = rtdata.slice(1);
// Do a random walk
while (rtdata.length < totalPoints) {
var prev = rtdata.length > 0 ? rtdata[rtdata.length - 1] : 50,
y = prev + Math.random() * 10 - 5;
if (y < 0) {
y = 0;
} else if (y > 100) {
y = 100;
}
rtdata.push(y);
}
// Zip the generated y values with the x values
var res = [];
for (var i = 0; i < rtdata.length; ++i) {
res.push([i, rtdata[i]])
}
return res;
}
// Set up the control widget
var updateInterval = 30;
$("#updateInterval").val(updateInterval).change(function() {
var v = $(this).val();
if (v && !isNaN(+v)) {
updateInterval = +v;
if (updateInterval < 1) {
updateInterval = 1;
} else if (updateInterval > 2000) {
updateInterval = 2000;
}
$(this).val("" + updateInterval);
}
});
var realplot = $.plot("#flot-realtime", [RealTimegetRandomData()], {
series: {
shadowSize: 0 // Drawing is faster without shadows
},
yaxis: {
min: 0,
max: 100
},
xaxis: {
show: false
},
colors: ["#9972b5"],
grid: {
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea"
},
});
function realtimeupdate() {
realplot.setData([RealTimegetRandomData()]);
// Since the axes don't change, we don't need to call realplot.setupGrid()
realplot.draw();
setTimeout(realtimeupdate, updateInterval);
}
realtimeupdate();
/*---------------------- Percentile ------------------------*/
var males = {
"15%": [
[2, 88.0],
[3, 93.3],
[4, 102.0],
[5, 108.5],
[6, 115.7],
[7, 115.6],
[8, 124.6],
[9, 130.3],
[10, 134.3],
[11, 141.4],
[12, 146.5],
[13, 151.7],
[14, 159.9],
[15, 165.4],
[16, 167.8],
[17, 168.7],
[18, 169.5],
[19, 168.0]
],
"90%": [
[2, 96.8],
[3, 105.2],
[4, 113.9],
[5, 120.8],
[6, 127.0],
[7, 133.1],
[8, 139.1],
[9, 143.9],
[10, 151.3],
[11, 161.1],
[12, 164.8],
[13, 173.5],
[14, 179.0],
[15, 182.0],
[16, 186.9],
[17, 185.2],
[18, 186.3],
[19, 186.6]
],
"25%": [
[2, 89.2],
[3, 94.9],
[4, 104.4],
[5, 111.4],
[6, 117.5],
[7, 120.2],
[8, 127.1],
[9, 132.9],
[10, 136.8],
[11, 144.4],
[12, 149.5],
[13, 154.1],
[14, 163.1],
[15, 169.2],
[16, 170.4],
[17, 171.2],
[18, 172.4],
[19, 170.8]
],
"10%": [
[2, 86.9],
[3, 92.6],
[4, 99.9],
[5, 107.0],
[6, 114.0],
[7, 113.5],
[8, 123.6],
[9, 129.2],
[10, 133.0],
[11, 140.6],
[12, 145.2],
[13, 149.7],
[14, 158.4],
[15, 163.5],
[16, 166.9],
[17, 167.5],
[18, 167.1],
[19, 165.3]
],
"mean": [
[2, 91.9],
[3, 98.5],
[4, 107.1],
[5, 114.4],
[6, 120.6],
[7, 124.7],
[8, 131.1],
[9, 136.8],
[10, 142.3],
[11, 150.0],
[12, 154.7],
[13, 161.9],
[14, 168.7],
[15, 173.6],
[16, 175.9],
[17, 176.6],
[18, 176.8],
[19, 176.7]
],
"75%": [
[2, 94.5],
[3, 102.1],
[4, 110.8],
[5, 117.9],
[6, 124.0],
[7, 129.3],
[8, 134.6],
[9, 141.4],
[10, 147.0],
[11, 156.1],
[12, 160.3],
[13, 168.3],
[14, 174.7],
[15, 178.0],
[16, 180.2],
[17, 181.7],
[18, 181.3],
[19, 182.5]
],
"85%": [
[2, 96.2],
[3, 103.8],
[4, 111.8],
[5, 119.6],
[6, 125.6],
[7, 131.5],
[8, 138.0],
[9, 143.3],
[10, 149.3],
[11, 159.8],
[12, 162.5],
[13, 171.3],
[14, 177.5],
[15, 180.2],
[16, 183.8],
[17, 183.4],
[18, 183.5],
[19, 185.5]
],
"50%": [
[2, 91.9],
[3, 98.2],
[4, 106.8],
[5, 114.6],
[6, 120.8],
[7, 125.2],
[8, 130.3],
[9, 137.1],
[10, 141.5],
[11, 149.4],
[12, 153.9],
[13, 162.2],
[14, 169.0],
[15, 174.8],
[16, 176.0],
[17, 176.8],
[18, 176.4],
[19, 177.4]
]
};
var females = {
"15%": [
[2, 84.8],
[3, 93.7],
[4, 100.6],
[5, 105.8],
[6, 113.3],
[7, 119.3],
[8, 124.3],
[9, 131.4],
[10, 136.9],
[11, 143.8],
[12, 149.4],
[13, 151.2],
[14, 152.3],
[15, 155.9],
[16, 154.7],
[17, 157.0],
[18, 156.1],
[19, 155.4]
],
"90%": [
[2, 95.6],
[3, 104.1],
[4, 111.9],
[5, 119.6],
[6, 127.6],
[7, 133.1],
[8, 138.7],
[9, 147.1],
[10, 152.8],
[11, 161.3],
[12, 166.6],
[13, 167.9],
[14, 169.3],
[15, 170.1],
[16, 172.4],
[17, 169.2],
[18, 171.1],
[19, 172.4]
],
"25%": [
[2, 87.2],
[3, 95.9],
[4, 101.9],
[5, 107.4],
[6, 114.8],
[7, 121.4],
[8, 126.8],
[9, 133.4],
[10, 138.6],
[11, 146.2],
[12, 152.0],
[13, 153.8],
[14, 155.7],
[15, 158.4],
[16, 157.0],
[17, 158.5],
[18, 158.4],
[19, 158.1]
],
"10%": [
[2, 84.0],
[3, 91.9],
[4, 99.2],
[5, 105.2],
[6, 112.7],
[7, 118.0],
[8, 123.3],
[9, 130.2],
[10, 135.0],
[11, 141.1],
[12, 148.3],
[13, 150.0],
[14, 150.7],
[15, 154.3],
[16, 153.6],
[17, 155.6],
[18, 154.7],
[19, 153.1]
],
"mean": [
[2, 90.2],
[3, 98.3],
[4, 105.2],
[5, 112.2],
[6, 119.0],
[7, 125.8],
[8, 131.3],
[9, 138.6],
[10, 144.2],
[11, 151.3],
[12, 156.7],
[13, 158.6],
[14, 160.5],
[15, 162.1],
[16, 162.9],
[17, 162.2],
[18, 163.0],
[19, 163.1]
],
"75%": [
[2, 93.2],
[3, 101.5],
[4, 107.9],
[5, 116.6],
[6, 122.8],
[7, 129.3],
[8, 135.2],
[9, 143.7],
[10, 148.7],
[11, 156.9],
[12, 160.8],
[13, 163.0],
[14, 165.0],
[15, 165.8],
[16, 168.7],
[17, 166.2],
[18, 167.6],
[19, 168.0]
],
"85%": [
[2, 94.5],
[3, 102.8],
[4, 110.4],
[5, 119.0],
[6, 125.7],
[7, 131.5],
[8, 137.9],
[9, 146.0],
[10, 151.3],
[11, 159.9],
[12, 164.0],
[13, 166.5],
[14, 167.5],
[15, 168.5],
[16, 171.5],
[17, 168.0],
[18, 169.8],
[19, 170.3]
],
"50%": [
[2, 90.2],
[3, 98.1],
[4, 105.2],
[5, 111.7],
[6, 118.2],
[7, 125.6],
[8, 130.5],
[9, 138.3],
[10, 143.7],
[11, 151.4],
[12, 156.7],
[13, 157.7],
[14, 161.0],
[15, 162.0],
[16, 162.8],
[17, 162.2],
[18, 162.8],
[19, 163.3]
]
};
var dataset = [{
label: "Female mean",
data: females["mean"],
lines: {
show: true
},
color: "rgba(31,181,172,1)"
}, {
id: "f15%",
data: females["15%"],
lines: {
show: true,
lineWidth: 0,
fill: false
},
color: "rgba(31,181,172,1)"
}, {
id: "f25%",
data: females["25%"],
lines: {
show: true,
lineWidth: 0,
fill: 0.2
},
color: "rgba(31,181,172,1)",
fillBetween: "f15%"
}, {
id: "f50%",
data: females["50%"],
lines: {
show: true,
lineWidth: 0.5,
fill: 0.4,
shadowSize: 0
},
color: "rgba(31,181,172,1)",
fillBetween: "f25%"
}, {
id: "f75%",
data: females["75%"],
lines: {
show: true,
lineWidth: 0,
fill: 0.4
},
color: "rgba(31,181,172,1)",
fillBetween: "f50%"
}, {
id: "f85%",
data: females["85%"],
lines: {
show: true,
lineWidth: 0,
fill: 0.2
},
color: "rgba(31,181,172,1)",
fillBetween: "f75%"
},
{
label: "Male mean",
data: males["mean"],
lines: {
show: true
},
color: "rgba(153,114,181,1.0)"
}, {
id: "m15%",
data: males["15%"],
lines: {
show: true,
lineWidth: 0,
fill: false
},
color: "rgba(153,114,181,1.0)"
}, {
id: "m25%",
data: males["25%"],
lines: {
show: true,
lineWidth: 0,
fill: 0.2
},
color: "rgba(153,114,181,1.0)",
fillBetween: "m15%"
}, {
id: "m50%",
data: males["50%"],
lines: {
show: true,
lineWidth: 0.5,
fill: 0.4,
shadowSize: 0
},
color: "rgba(153,114,181,1.0)",
fillBetween: "m25%"
}, {
id: "m75%",
data: males["75%"],
lines: {
show: true,
lineWidth: 0,
fill: 0.4
},
color: "rgba(153,114,181,1.0)",
fillBetween: "m50%"
}, {
id: "m85%",
data: males["85%"],
lines: {
show: true,
lineWidth: 0,
fill: 0.2
},
color: "rgba(153,114,181,1.0)",
fillBetween: "m75%"
}
];
$.plot($("#flot-percentile"), dataset, {
xaxis: {
tickDecimals: 0
},
yaxis: {
tickFormatter: function(v) {
return v + " cm";
}
},
grid: {
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea"
},
legend: {
position: "se"
}
});
/* -------------------- Navigate ------------------------*/
// generate data set from a parametric function with a fractal look
function sumf(f, t, m) {
var res = 0;
for (var i = 1; i < m; ++i) {
res += f(i * i * t) / (i * i);
}
return res;
}
var d1 = [];
for (var t = 0; t <= 2 * Math.PI; t += 0.01) {
d1.push([sumf(Math.cos, t, 10), sumf(Math.sin, t, 10)]);
}
var data1 = [d1],
placeholder = $("#flot-navigate");
var navplot = $.plot(placeholder, data1, {
series: {
lines: {
show: true
},
shadowSize: 0
},
xaxis: {
zoomRange: [0.1, 10],
panRange: [-10, 10]
},
yaxis: {
zoomRange: [0.1, 10],
panRange: [-10, 10]
},
zoom: {
interactive: true
},
pan: {
interactive: true
},
colors: ["#1fb5ac"],
grid: {
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea"
},
});
// show pan/zoom messages to illustrate events
placeholder.bind("plotpan", function(event, navplot) {
var axes = navplot.getAxes();
$(".message").html("Panning to x: " + axes.xaxis.min.toFixed(2) + " &ndash; " + axes.xaxis.max.toFixed(2) + " and y: " + axes.yaxis.min.toFixed(2) + " &ndash; " + axes.yaxis.max.toFixed(2));
});
placeholder.bind("plotzoom", function(event, navplot) {
var axes = navplot.getAxes();
$(".message").html("Zooming to x: " + axes.xaxis.min.toFixed(2) + " &ndash; " + axes.xaxis.max.toFixed(2) + " and y: " + axes.yaxis.min.toFixed(2) + " &ndash; " + axes.yaxis.max.toFixed(2));
});
// add zoom out button
$("<div class='button' style='right:20px;top:20px'>zoom out</div>")
.appendTo(placeholder)
.click(function(event) {
event.preventDefault();
navplot.zoomOut();
});
// and add panning buttons
// little helper for taking the repetitive work out of placing
// panning arrows
function addArrow(dir, right, top, offset) {
$("<img class='button' src='assets/plugins/flot-chart/images/arrow-" + dir + ".gif' style='right:" + right + "px;top:" + top + "px'>")
.appendTo(placeholder)
.click(function(e) {
e.preventDefault();
navplot.pan(offset);
});
}
addArrow("left", 55, 60, {
left: -100
});
addArrow("right", 25, 60, {
left: 100
});
addArrow("up", 40, 45, {
top: -100
});
addArrow("down", 40, 75, {
top: 100
});
/*------------------------ Series Pie -----------------------*/
var data = [],
series = Math.floor(Math.random() * 6) + 3;
for (var i = 0; i < series; i++) {
data[i] = {
label: "Series" + (i + 1),
data: Math.floor(Math.random() * 100) + 1
}
}
var placeholder = $("#placeholder");
$("#example-1").click(function() {
placeholder.unbind();
$("#title").text("Default pie chart");
$("#description").text("The default pie chart with no options set.");
$.plot(placeholder, data, {
series: {
pie: {
show: true
}
}
});
setCode([
"$.plot('#placeholder', data, {",
" series: {",
" pie: {",
" show: true",
" }",
" }",
"});"
]);
});
/* ------------------------ FLOT PIE ---------------------*/
var data = [],
//series = Math.floor(Math.random() * 6) + 3;
series = 5;
for (var i = 0; i < series; i++) {
data[i] = {
label: "Series" + (i + 1),
data: Math.floor(Math.random() * 100) + 1
}
}
var flotpie = $("#flotpie");
$("#pieexample-1").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true,
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
});
});
$("#pieexample-2").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
legend: {
show: false
}
});
});
$("#pieexample-3").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true,
radius: 1,
label: {
show: true,
radius: 1,
formatter: labelFormatter,
background: {
opacity: 0.8
}
}
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
legend: {
show: false
}
});
});
$("#pieexample-4").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true,
radius: 1,
label: {
show: true,
radius: 3 / 4,
formatter: labelFormatter,
background: {
opacity: 0.5
}
}
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
legend: {
show: false
}
});
});
$("#pieexample-5").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true,
radius: 1,
label: {
show: true,
radius: 3 / 4,
formatter: labelFormatter,
background: {
opacity: 0.5,
color: "#000"
}
}
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
legend: {
show: false
}
});
});
$("#pieexample-6").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true,
radius: 3 / 4,
label: {
show: true,
radius: 3 / 4,
formatter: labelFormatter,
background: {
opacity: 0.5,
color: "#000"
}
}
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
legend: {
show: false
}
});
});
$("#pieexample-7").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true,
radius: 1,
label: {
show: true,
radius: 2 / 3,
formatter: labelFormatter,
threshold: 0.1
}
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
legend: {
show: false
}
});
});
$("#pieexample-8").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true,
combine: {
color: "#999",
threshold: 0.05
}
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
legend: {
show: false
}
});
});
$("#pieexample-9").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true,
radius: 500,
label: {
show: true,
formatter: labelFormatter,
threshold: 0.1
}
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
legend: {
show: false
}
});
});
$("#pieexample-10").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true,
radius: 1,
tilt: 0.5,
label: {
show: true,
radius: 1,
formatter: labelFormatter,
background: {
opacity: 0.8
}
},
combine: {
color: "#999",
threshold: 0.1
}
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
legend: {
show: false
}
});
});
$("#pieexample-11").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
innerRadius: 0.5,
show: true
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
hoverable: true,
clickable: true
},
});
});
$("#pieexample-12").click(function() {
flotpie.unbind();
$.plot(flotpie, data, {
series: {
pie: {
show: true
}
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979", "#da2527"],
grid: {
hoverable: true,
clickable: true
},
});
flotpie.bind("plothover", function(event, pos, obj) {
if (!obj) {
return;
}
var percent = parseFloat(obj.series.percent).toFixed(2);
$("#hover").html("<span style='font-weight:bold; color:" + obj.series.color + "'>" + obj.series.label + " (" + percent + "%)</span>");
});
flotpie.bind("plotclick", function(event, pos, obj) {
if (!obj) {
return;
}
var percent = parseFloat(obj.series.percent).toFixed(2);
alert("" + obj.series.label + ": " + percent + "%");
});
});
// Show the initial default chart
$("#flotpiemenu button").click(function() {
$("#flotpiemenu button").removeClass("btn-success").addClass("btn-default");
$(this).addClass("btn-success").removeClass("btn-default");
});
$("#pieexample-1").click();
/*------------------ Series Toggle ---------------------*/
var togdatasets = {
"usa": {
label: "USA",
data: [
[1988, 483994],
[1989, 479060],
[1990, 457648],
[1991, 401949],
[1992, 424705],
[1993, 402375],
[1994, 377867],
[1995, 357382],
[1996, 337946],
[1997, 336185],
[1998, 328611],
[1999, 329421],
[2000, 342172],
[2001, 344932],
[2002, 387303],
[2003, 440813],
[2004, 480451],
[2005, 504638],
[2006, 528692]
]
},
"russia": {
label: "Russia",
data: [
[1988, 218000],
[1989, 203000],
[1990, 171000],
[1992, 42500],
[1993, 37600],
[1994, 36600],
[1995, 21700],
[1996, 19200],
[1997, 21300],
[1998, 13600],
[1999, 14000],
[2000, 19100],
[2001, 21300],
[2002, 23600],
[2003, 25100],
[2004, 26100],
[2005, 31100],
[2006, 34700]
]
},
"uk": {
label: "UK",
data: [
[1988, 62982],
[1989, 62027],
[1990, 60696],
[1991, 62348],
[1992, 58560],
[1993, 56393],
[1994, 54579],
[1995, 50818],
[1996, 50554],
[1997, 48276],
[1998, 47691],
[1999, 47529],
[2000, 47778],
[2001, 48760],
[2002, 50949],
[2003, 57452],
[2004, 60234],
[2005, 60076],
[2006, 59213]
]
},
"germany": {
label: "Germany",
data: [
[1988, 55627],
[1989, 55475],
[1990, 58464],
[1991, 55134],
[1992, 52436],
[1993, 47139],
[1994, 43962],
[1995, 43238],
[1996, 42395],
[1997, 40854],
[1998, 40993],
[1999, 41822],
[2000, 41147],
[2001, 40474],
[2002, 40604],
[2003, 40044],
[2004, 38816],
[2005, 38060],
[2006, 36984]
]
},
"denmark": {
label: "Denmark",
data: [
[1988, 3813],
[1989, 3719],
[1990, 3722],
[1991, 3789],
[1992, 3720],
[1993, 3730],
[1994, 3636],
[1995, 3598],
[1996, 3610],
[1997, 3655],
[1998, 3695],
[1999, 3673],
[2000, 3553],
[2001, 3774],
[2002, 3728],
[2003, 3618],
[2004, 3638],
[2005, 3467],
[2006, 3770]
]
},
"sweden": {
label: "Sweden",
data: [
[1988, 6402],
[1989, 6474],
[1990, 6605],
[1991, 6209],
[1992, 6035],
[1993, 6020],
[1994, 6000],
[1995, 6018],
[1996, 3958],
[1997, 5780],
[1998, 5954],
[1999, 6178],
[2000, 6411],
[2001, 5993],
[2002, 5833],
[2003, 5791],
[2004, 5450],
[2005, 5521],
[2006, 5271]
]
},
"norway": {
label: "Norway",
data: [
[1988, 4382],
[1989, 4498],
[1990, 4535],
[1991, 4398],
[1992, 4766],
[1993, 4441],
[1994, 4670],
[1995, 4217],
[1996, 4275],
[1997, 4203],
[1998, 4482],
[1999, 4506],
[2000, 4358],
[2001, 4385],
[2002, 5269],
[2003, 5066],
[2004, 5194],
[2005, 4887],
[2006, 4891]
]
}
};
// hard-code color indices to prevent them from shifting as
// countries are turned on/off
var i = 0;
$.each(togdatasets, function(key, val) {
val.color = i;
++i;
});
// insert checkboxes
var choiceContainer = $("#choices");
$.each(togdatasets, function(key, val) {
choiceContainer.append("<br/><input class='iCheck' type='checkbox' name='" + key +
"' checked='checked' id='id" + key + "'></input>" +
"<label class='form-label' for='id" + key + "'>" + val.label + "</label>");
});
// if icheck is not applied, then use this code below
//choiceContainer.find("input").click(plotAccordingToChoices);
if ($.isFunction($.fn.iCheck)) {
$('#choices input').on('ifChanged', function(event) {
plotAccordingToChoices();
});
}
function plotAccordingToChoices() {
var data = [];
choiceContainer.find("input:checked").each(function() {
var key = $(this).attr("name");
if (key && togdatasets[key]) {
data.push(togdatasets[key]);
}
});
if (data.length > 0) {
$.plot("#flot-toggle", data, {
yaxis: {
min: 0
},
xaxis: {
tickDecimals: 0
},
series: {
shadowSize: 0 // Drawing is faster without shadows
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea"
},
});
}
}
plotAccordingToChoices();
/* -------------------- Series Types ------------------*/
var typed1 = [];
for (var i = 0; i < 14; i += 0.5) {
typed1.push([i, Math.sin(i)]);
}
var typed2 = [
[0, 3],
[4, 8],
[8, 5],
[9, 13]
];
var typed3 = [];
for (var i = 0; i < 14; i += 0.5) {
typed3.push([i, Math.cos(i)]);
}
var typed4 = [];
for (var i = 0; i < 14; i += 0.1) {
typed4.push([i, Math.sqrt(i * 10)]);
}
var typed5 = [];
for (var i = 0; i < 14; i += 0.5) {
typed5.push([i, Math.sqrt(i)]);
}
var typed6 = [];
for (var i = 0; i < 14; i += 0.5 + Math.random()) {
typed6.push([i, Math.sqrt(2 * i + Math.sin(i) + 5)]);
}
$.plot("#flot-types", [{
data: typed1,
lines: {
show: true,
fill: true
}
}, {
data: typed2,
bars: {
show: true
}
}, {
data: typed3,
points: {
show: true
}
}, {
data: typed4,
lines: {
show: true
}
}, {
data: typed5,
lines: {
show: true
},
points: {
show: true
}
}, {
data: typed6,
lines: {
show: true,
steps: true
}
}], {
series: {
shadowSize: 0 // Drawing is faster without shadows
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea"
},
});
/*------------------ Stacking -------------------------*/
var stackd1 = [];
for (var i = 0; i <= 10; i += 1) {
stackd1.push([i, parseInt(Math.random() * 30)]);
}
var stackd2 = [];
for (var i = 0; i <= 10; i += 1) {
stackd2.push([i, parseInt(Math.random() * 30)]);
}
var stackd3 = [];
for (var i = 0; i <= 10; i += 1) {
stackd3.push([i, parseInt(Math.random() * 30)]);
}
var stack = 0,
bars = true,
lines = false,
steps = false;
function plotWithOptions() {
$.plot("#flot-stack", [stackd1, stackd2, stackd3], {
series: {
stack: stack,
lines: {
show: lines,
fill: true,
steps: steps
},
bars: {
show: bars,
barWidth: 0.6
},
shadowSize: 0 // Drawing is faster without shadows
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea"
},
});
}
plotWithOptions();
$(".stackControls button").click(function(e) {
e.preventDefault();
stack = $(this).text() == "With stacking" ? true : null;
plotWithOptions();
$(".stackControls button").removeClass("btn-success").addClass("btn-default");
$(this).addClass("btn-success").removeClass("btn-default");
});
$(".graphControls button").click(function(e) {
e.preventDefault();
bars = $(this).text().indexOf("Bars") != -1;
lines = $(this).text().indexOf("Lines") != -1;
steps = $(this).text().indexOf("steps") != -1;
plotWithOptions();
$(".graphControls button").removeClass("btn-success").addClass("btn-default");
$(this).addClass("btn-success").removeClass("btn-default");
});
/*------------------- Tracking -------------------------*/
var sin = [],
cos = [];
for (var i = 0; i < 14; i += 0.1) {
sin.push([i, Math.sin(i)]);
cos.push([i, Math.cos(i)]);
}
var trackplot = $.plot("#flot-track", [{
data: sin,
label: "sin(x) = -0.00"
}, {
data: cos,
label: "cos(x) = -0.00"
}], {
series: {
lines: {
show: true
}
},
crosshair: {
mode: "x"
},
grid: {
hoverable: true,
autoHighlight: true,
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea"
},
yaxis: {
min: -1.2,
max: 1.2
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
});
var legends = $("#flot-track .legendLabel");
legends.each(function() {
// fix the widths so they don't jump around
$(this).css('width', $(this).width());
});
var updateLegendTimeout = null;
var latestPosition = null;
function updateLegend() {
updateLegendTimeout = null;
var pos = latestPosition;
var axes = trackplot.getAxes();
if (pos.x < axes.xaxis.min || pos.x > axes.xaxis.max ||
pos.y < axes.yaxis.min || pos.y > axes.yaxis.max) {
return;
}
var i, j, trackdataset = trackplot.getData();
for (i = 0; i < trackdataset.length; ++i) {
var series = trackdataset[i];
// Find the nearest points, x-wise
for (j = 0; j < series.data.length; ++j) {
if (series.data[j][0] > pos.x) {
break;
}
}
// Now Interpolate
var y,
p1 = series.data[j - 1],
p2 = series.data[j];
if (p1 == null) {
y = p2[1];
} else if (p2 == null) {
y = p1[1];
} else {
y = p1[1] + (p2[1] - p1[1]) * (pos.x - p1[0]) / (p2[0] - p1[0]);
}
legends.eq(i).text(series.label.replace(/=.*/, "= " + y.toFixed(2)));
}
}
$("#flot-track").bind("plothover", function(event, pos, item) {
latestPosition = pos;
if (!updateLegendTimeout) {
updateLegendTimeout = setTimeout(updateLegend, 50);
}
});
/*------------------- Visitor -------------------------*/
var visitd = [
[1196463600000, 0],
[1196550000000, 0],
[1196636400000, 0],
[1196722800000, 77],
[1196809200000, 3636],
[1196895600000, 3575],
[1196982000000, 2736],
[1197068400000, 1086],
[1197154800000, 676],
[1197241200000, 1205],
[1197327600000, 906],
[1197414000000, 710],
[1197500400000, 639],
[1197586800000, 540],
[1197673200000, 435],
[1197759600000, 301],
[1197846000000, 575],
[1197932400000, 481],
[1198018800000, 591],
[1198105200000, 608],
[1198191600000, 459],
[1198278000000, 234],
[1198364400000, 1352],
[1198450800000, 686],
[1198537200000, 279],
[1198623600000, 449],
[1198710000000, 468],
[1198796400000, 392],
[1198882800000, 282],
[1198969200000, 208],
[1199055600000, 229],
[1199142000000, 177],
[1199228400000, 374],
[1199314800000, 436],
[1199401200000, 404],
[1199487600000, 253],
[1199574000000, 218],
[1199660400000, 476],
[1199746800000, 462],
[1199833200000, 448],
[1199919600000, 442],
[1200006000000, 403],
[1200092400000, 204],
[1200178800000, 194],
[1200265200000, 327],
[1200351600000, 374],
[1200438000000, 507],
[1200524400000, 546],
[1200610800000, 482],
[1200697200000, 283],
[1200783600000, 221],
[1200870000000, 483],
[1200956400000, 523],
[1201042800000, 528],
[1201129200000, 483],
[1201215600000, 452],
[1201302000000, 270],
[1201388400000, 222],
[1201474800000, 439],
[1201561200000, 559],
[1201647600000, 521],
[1201734000000, 477],
[1201820400000, 442],
[1201906800000, 252],
[1201993200000, 236],
[1202079600000, 525],
[1202166000000, 477],
[1202252400000, 386],
[1202338800000, 409],
[1202425200000, 408],
[1202511600000, 237],
[1202598000000, 193],
[1202684400000, 357],
[1202770800000, 414],
[1202857200000, 393],
[1202943600000, 353],
[1203030000000, 364],
[1203116400000, 215],
[1203202800000, 214],
[1203289200000, 356],
[1203375600000, 399],
[1203462000000, 334],
[1203548400000, 348],
[1203634800000, 243],
[1203721200000, 126],
[1203807600000, 157],
[1203894000000, 288]
];
// first correct the timestamps - they are recorded as the daily
// midnights in UTC+0100, but Flot always displays dates in UTC
// so we have to add one hour to hit the midnights in the plot
for (var i = 0; i < visitd.length; ++i) {
visitd[i][0] += 60 * 60 * 1000;
}
// helper for returning the weekends in a period
function weekendAreas(axes) {
var markings = [],
d = new Date(axes.xaxis.min);
// go to the first Saturday
d.setUTCDate(d.getUTCDate() - ((d.getUTCDay() + 1) % 7))
d.setUTCSeconds(0);
d.setUTCMinutes(0);
d.setUTCHours(0);
var i = d.getTime();
// when we don't set yaxis, the rectangle automatically
// extends to infinity upwards and downwards
do {
markings.push({
xaxis: {
from: i,
to: i + 2 * 24 * 60 * 60 * 1000
}
});
i += 7 * 24 * 60 * 60 * 1000;
} while (i < axes.xaxis.max);
return markings;
}
var options = {
xaxis: {
mode: "time",
tickLength: 5
},
selection: {
mode: "x"
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
markings: weekendAreas,
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea"
}
};
var visitplot = $.plot("#flot-visitors", [visitd], options);
var overview = $.plot("#flot-visit-overview", [visitd], {
series: {
lines: {
show: true,
lineWidth: 1
},
shadowSize: 0
},
xaxis: {
ticks: [],
mode: "time"
},
yaxis: {
ticks: [],
min: 0,
autoscaleMargin: 0.1
},
selection: {
mode: "x"
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea"
}
});
// now connect the two
$("#flot-visitors").bind("plotselected", function(event, ranges) {
// do the zooming
$.each(visitplot.getXAxes(), function(_, axis) {
var opts = axis.options;
opts.min = ranges.xaxis.from;
opts.max = ranges.xaxis.to;
});
visitplot.setupGrid();
visitplot.draw();
visitplot.clearSelection();
// don't fire event on the overview to prevent eternal loop
overview.setSelection(ranges, true);
});
$("#flot-visit-overview").bind("plotselected", function(event, ranges) {
visitplot.setSelection(ranges);
});
/*------------------ Zoom -------------------------*/
// setup plot
function getData(x1, x2) {
var d = [];
for (var i = 0; i <= 100; ++i) {
var x = x1 + i * (x2 - x1) / 100;
d.push([x, Math.sin(x * Math.sin(x))]);
}
return [{
label: "sin(x sin(x))",
data: d
}];
}
var zoomoptions = {
legend: {
show: false
},
series: {
lines: {
show: true
},
points: {
show: true
},
shadowSize: 0
},
yaxis: {
ticks: 10
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea",
},
selection: {
mode: "xy"
}
};
var startData = getData(0, 3 * Math.PI);
var plot = $.plot("#flot-zoom", startData, zoomoptions);
// Create the overview plot
var zoomoverview = $.plot("#flot-zoom-overview", startData, {
legend: {
show: false
},
series: {
lines: {
show: true,
lineWidth: 1
},
shadowSize: 0
},
xaxis: {
ticks: 4
},
yaxis: {
ticks: 3,
min: -2,
max: 2
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
grid: {
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea",
},
selection: {
mode: "xy"
}
});
// now connect the two
$("#flot-zoom").bind("plotselected", function(event, ranges) {
// clamp the zooming to prevent eternal zoom
if (ranges.xaxis.to - ranges.xaxis.from < 0.00001) {
ranges.xaxis.to = ranges.xaxis.from + 0.00001;
}
if (ranges.yaxis.to - ranges.yaxis.from < 0.00001) {
ranges.yaxis.to = ranges.yaxis.from + 0.00001;
}
// do the zooming
plot = $.plot("#flot-zoom", getData(ranges.xaxis.from, ranges.xaxis.to),
$.extend(true, {}, zoomoptions, {
xaxis: {
min: ranges.xaxis.from,
max: ranges.xaxis.to
},
yaxis: {
min: ranges.yaxis.from,
max: ranges.yaxis.to
}
})
);
// don't fire event on the overview to prevent eternal loop
zoomoverview.setSelection(ranges, true);
});
$("#flot-zoom-overview").bind("plotselected", function(event, ranges) {
plot.setSelection(ranges);
});
/* ------------------ Area Chart ------------------------*/
var data7_1 = [
[1354586111100, 153],
[1354587111100, 65],
[1354588111100, 98],
[1354589111100, 83],
[1354591111000, 80],
[1354591111100, 89],
[1354592111100, 220],
[1354593111100, 74],
[1354594111100, 23],
[1354595111100, 79],
[1354596111100, 88],
[1354597111100, 36]
];
var data7_2 = [
[1354586111100, 153],
[1354587111100, 65],
[1354588111100, 298],
[1354589111100, 83],
[1354591111000, 80],
[1354591111100, 89],
[1354592111100, 20],
[1354593111100, 74],
[1354594111100, 23],
[1354595111100, 79],
[1354596111100, 788],
[1354597111100, 836]
];
$.plot($("#demoarea-chart #demoarea-container"), [{
data: data7_1,
label: "Views",
lines: {
fill: true
}
}, {
data: data7_2,
label: "Logins",
points: {
show: true
},
lines: {
show: true
},
yaxis: 2
}], {
series: {
lines: {
show: true,
fill: false
},
points: {
show: true,
lineWidth: 2,
fill: true,
fillColor: "#ffffff",
symbol: "circle",
radius: 5
},
shadowSize: 0
},
grid: {
hoverable: true,
clickable: true,
tickColor: "#f9f9f9",
borderWidth: 1,
borderColor: "#eeeeee"
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
tooltip: true,
tooltipOpts: {
defaultTheme: false
},
xaxis: {
mode: "time"
},
yaxes: [{
/* First y axis */
}, {
/* Second y axis */
position: "right" /* left or right */
}]
});
/*---------------- Combined Chart --------------------*/
var data_1type = [
[0, 2601],
[1, 3520],
[2, 4337],
[3, 6261],
[4, 3157],
[5, 4788],
[6, 5588],
[7, 6848],
[8, 7854],
[9, 6838],
[10, 188],
[11, 2214],
[12, 8364],
[13, 4489],
[14, 558],
[15, 2682],
[16, 3769],
[17, 4269],
[18, 5618],
[19, 1470],
[20, 3130],
[21, 2425],
[22, 3583],
[23, 743]
];
var data_2type = [
[0, 4145],
[1, 5192],
[2, 7138],
[3, 5132],
[4, 2234],
[5, 1423],
[6, 1347],
[7, 633],
[8, 634],
[9, 493],
[10, 836],
[11, 2301],
[12, 3315],
[13, 3397],
[14, 5712],
[15, 2871],
[16, 3760],
[17, 4779],
[18, 4925],
[19, 4953],
[20, 4292],
[21, 3525],
[22, 3420],
[23, 8201]
];
var data_diff = [
[23, 1727],
[22, 118],
[21, 1210],
[20, 922],
[19, 1227],
[18, 923],
[17, 520],
[16, 1229],
[15, 1],
[14, 46],
[13, 5452],
[12, 4444],
[11, 1653],
[10, 255],
[9, 54],
[8, 1760],
[7, 1665],
[6, 8669],
[5, 665],
[4, 767],
[3, 2671],
[2, 4061],
[1, 726],
[0, 1566]
];
var ticks = [
[0, "22h"],
[1, ""],
[2, "00h"],
[3, ""],
[4, "02h"],
[5, ""],
[6, "04h"],
[7, ""],
[8, "06h"],
[9, ""],
[10, "08h"],
[11, ""],
[12, "10h"],
[13, ""],
[14, "12h"],
[15, ""],
[16, "14h"],
[17, ""],
[18, "16h"],
[19, ""],
[20, "18h"],
[21, ""],
[22, "20h"],
[23, ""]
];
var combinedata = [{
label: "Data Set 1",
data: data_1type,
lines: {
show: true,
fill: true
},
points: {
show: true
}
}, {
label: "Data Set 2",
data: data_2type,
lines: {
show: true
},
points: {
show: true
}
}, {
label: "Data Set 3",
data: data_diff,
bars: {
show: true
}
}];
var combineoptions = {
xaxis: {
ticks: ticks
},
series: {
shadowSize: 0
},
grid: {
hoverable: true,
clickable: true,
tickColor: "#f5f5f5",
borderWidth: 1,
borderColor: "#eaeaea"
},
colors: ["#1fb5ac", "#9972b5", "#fa8564", "#FDB45C", "#797979"],
tooltip: true,
tooltipOpts: {
defaultTheme: false
},
legend: {
labelBoxBorderColor: "#000000",
container: $("#democombine"),
noColumns: 0
}
};
var combineplot = $.plot($("#flotcombine"),
combinedata, combineoptions);
/*-----------------------------------------------------*/
};
function labelFormatter(label, series) {
return "<div style='font-size:8pt; text-align:center; padding:2px; color:white;'>" + label + "<br/>" + Math.round(series.percent) + "%</div>";
}
/******************************
initialize respective scripts
*****************************/
$(document).ready(function() {
ULTRA_SETTINGS.chartFlot();
});
$(window).resize(function() {
});
$(window).load(function() {});
});