d3RealTimeChart/index.html at master · boeric/d3RealTimeChart · GitHub

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<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <!-- Author: Bo Ericsson -->
  <title>Real Time Chart</title>
  <link rel=stylesheet type=text/css href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/2.3.2/css/bootstrap.min.css" media="all">
  <style>
  .axis text {
    font: 10px sans-serif;
  }
  .chartTitle {
    font-size: 12px;
    font-weight: bold;
    text-anchor: middle;
  }
  .axis .title {
    font-weight: bold;
    text-anchor: middle;
  }
  .axis path,
  .axis line {
    fill: none;
    stroke: #000;
    shape-rendering: crispEdges;
  }
  .x.axis path {
    fill: none;
    stroke: #000;
    shape-rendering: crispEdges;
  }
  .nav .area {
    fill: lightgrey;
    stroke-width: 0px;
  }
  .nav .line {
    fill: none;
    stroke: darkgrey;
    stroke-width: 1px;
  }
  .viewport {
    stroke: grey;
    fill: black;
    fill-opacity: 0.3;
  }
  .viewport .extent {
    fill: green;
  }
  .well {
    padding-top: 0px;
    padding-bottom: 0px;
  }
  </style>
<body>

<div style="max-width: 600px; max-height: 400px; padding: 10px">

  <div class="well">
    <h4>D3 Based Real Time Chart
  </div>

  <div id="viewDiv"></div>

</div>

<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script>
<script src="realTimeChart.js"></script>
<script>
'use strict';

// mean and deviation for time interval
var meanMs = 1000, // milliseconds
    dev = 150;

// define time scale
var timeScale = d3.scale.linear()
    .domain([300, 1700])
    .range([300, 1700])
    .clamp(true);

// define value scale
var valueScale = d3.scale.linear()
    .domain([0, 1])
    .range([30, 95]);

// generate initial data
var normal = d3.random.normal(1000, 150);
var currMs = new Date().getTime() - 300000 - 4000;
var data = d3.range(300).map(function(d, i, arr) {
  var value = valueScale(Math.random()); // random data
  //var value = Math.round((d % 60) / 60 * 95); // ramp data
  var interval = Math.round(timeScale(normal()));
  currMs += interval;
  var time = new Date(currMs);
  var obj = { interval: interval, value: value, time: time, ts: currMs }
  return obj;
})

// create the real time chart
var chart = realTimeChart()
    .title("Chart Title")
    .yTitle("Y Scale")
    .xTitle("X Scale")
    .border(true)
    .width(600)
    .height(290)
    .barWidth(1)
    .initialData(data);

console.log("Version: ", chart.version);
console.dir("Dir++");
console.trace();
console.warn("warn")

// invoke the chart
var chartDiv = d3.select("#viewDiv").append("div")
    .attr("id", "chartDiv")
    .call(chart);

// alternative invocation
//chart(chartDiv);


// drive data into the chart roughly every second
// in a normal use case, real time data would arrive through the network or some other mechanism
var d = 0;
function dataGenerator() {

  var timeout = Math.round(timeScale(normal()));

  setTimeout(function() {

    // create new data item
    var now = new Date();
    var obj = {
      value: valueScale(Math.random()), // random data
      //value: Math.round((d++ % 60) / 60 * 95), // ramp data
      time: now,
      color: "red",
      ts: now.getTime(),
      interval: timeout
    };

    // send the datum to the chart
    chart.datum(obj);

    // do forever
    dataGenerator();

  }, timeout);
}

// start the data generator
dataGenerator();

</script>