D7net
Home
Console
Upload
information
Create File
Create Folder
About
Tools
:
/
home
/
realadss
/
kavyaeventz.in
/
backup
/
js
/
pages
/
Filename :
widget-flot-charts.js
back
Copy
//[widget flot charts Javascript] //Project: WebkitX Admin - Responsive Admin Template //Primary use: Used only for the widget flot charts $(function () { /* * Flot Interactive Chart * ----------------------- */ // We use an inline data source in the example, usually data would // be fetched from a server var data = [], totalPoints = 1000 function getRandomData() { if (data.length > 0) data = data.slice(1) // Do a random walk while (data.length < totalPoints) { var prev = data.length > 0 ? data[data.length - 1] : 50, y = prev + Math.random() * 10 - 5 if (y < 0) { y = 0 } else if (y > 200) { y = 200 } data.push(y) } // Zip the generated y values with the x values var res = [] for (var i = 0; i < data.length; ++i) { res.push([i, data[i]]) } return res } var interactive_plot = $.plot('#interactive', [getRandomData()], { grid: { color: "#AFAFAF" , hoverable: true , borderWidth: 0 , backgroundColor: 'rgba(255, 255, 255, 0)' }, series: { shadowSize: 0, // Drawing is faster without shadows color : '#689f38' }, tooltip: true, lines : { fill : false, //Converts the line chart to area chart color: '#689f38' }, tooltipOpts: { content: "Visit: %y" , defaultTheme: false }, yaxis : { min : 0, max : 200, show: true }, xaxis : { show: true } }) var updateInterval = 30 //Fetch data ever x milliseconds var realtime = 'on' //If == to on then fetch data every x seconds. else stop fetching function update() { interactive_plot.setData([getRandomData()]) // Since the axes don't change, we don't need to call plot.setupGrid() interactive_plot.draw() if (realtime === 'on') setTimeout(update, updateInterval) } //INITIALIZE REALTIME DATA FETCHING if (realtime === 'on') { update() } //REALTIME TOGGLE $('#realtime .btn').click(function () { if ($(this).data('toggle') === 'on') { realtime = 'on' } else { realtime = 'off' } update() }) /* * END INTERACTIVE CHART */ /* * LINE CHART * ---------- */ //LINE randomly generated data var sin = [], cos = [] for (var i = -0.1; i < 8; i += 0.5) { sin.push([i, Math.sin(i)]) cos.push([i, Math.cos(i)]) } var line_data1 = { data : sin, color: '#689f38' } var line_data2 = { data : cos, color: '#38649f' } $.plot('#line-chart', [line_data1, line_data2], { grid : { hoverable : true, borderColor: '#f3f3f3', borderWidth: 1, tickColor : '#f3f3f3' }, series: { shadowSize: 0, lines : { show: true }, points : { show: true } }, lines : { fill : false, color: ['#689f38', '#38649f'] }, yaxis : { show: true }, xaxis : { show: true } }) //Initialize tooltip on hover $('<div class="tooltip-inner" id="line-chart-tooltip"></div>').css({ position: 'absolute', display : 'none', opacity : 0.8 }).appendTo('body') $('#line-chart').bind('plothover', function (event, pos, item) { if (item) { var x = item.datapoint[0].toFixed(2), y = item.datapoint[1].toFixed(2) $('#line-chart-tooltip').html(item.series.label + ' of ' + x + ' = ' + y) .css({ top: item.pageY + 5, left: item.pageX + 5 }) .fadeIn(200) } else { $('#line-chart-tooltip').hide() } }) /* END LINE CHART */ /* * FULL WIDTH STATIC AREA CHART * ----------------- */ var areaData = [[3.5, 58.0], [4.5, 93.4], [5.5, 122.4], [6.5, 128.4], [7.5, 135.7], [8.5, 139.7], [9.5, 134.6], [10.5, 120.3], [11.5, 155.3], [12.5, 165.4], [13.5, 166.5], [14.5, 161.7], [15.5, 179.9], [16.5, 195.4], [17.5, 157.8], [18.5, 158.2], [19.5, 199.5], [20.5, 200.0]] $.plot('#area-chart', [areaData], { grid : { borderWidth: 0 }, series: { shadowSize: 0, // Drawing is faster without shadows color : '#389f99' }, lines : { fill: true //Converts the line chart to area chart }, yaxis : { show: true }, xaxis : { show: true } }) /* END AREA CHART */ /* * BAR CHART * --------- */ var bar_data = { data : [['Jan', 19], ['Feb', 25], ['Mar', 27], ['Apr', 28], ['May', 15], ['Jun', 6], ['Jul', 17], ['Aug', 7], ['Sep', 14], ['Oct', 24], ['Nov', 16], ['Dec', 2]], color: '#ee1044', borderWidth:'0.5' } $.plot('#bar-chart', [bar_data], { grid : { borderWidth: 1, borderColor: '#f3f3f3', tickColor : '#f3f3f3' }, series: { bars: { show : true, barWidth: 0.5, lineWidth: 0, fillColor:'#ee1044', align : 'center', } }, xaxis : { mode : 'categories', tickLength: 0 } }) /* END BAR CHART */ /* * DONUT CHART * ----------- */ var donutData = [ { label: 'Jan-Apr', data: 85, color: '#ee1044' }, { label: 'May-Aug', data: 68, color: '#ff8f00' }, { label: 'Sep-Dec', data: 42, color: '#689f38' } ] $.plot('#donut-chart', donutData, { series: { pie: { show : true, radius : 1, innerRadius: 0.3, label : { show : true, radius : 1, formatter : labelFormatter, threshold : 0.1, background : {opacity: 0.5,color: '#000'} } } }, legend: { show: true }, grid: { hoverable: true, clickable: true } }) /* * END DONUT CHART */ }) /* * Custom Label formatter * ---------------------- */ function labelFormatter(label, series) { return '<div style="font-size:13px; text-align:center; padding:2px; color: #fff; font-weight: 600;">' + label + '<br>' + Math.round(series.percent) + '%</div>' }