real_time_lmp_predictor

Built with blockbuilder.org

<!DOCTYPE html>
<meta charset="utf-8">
<style>

body {
  font: 12px Helvetica;
}

.axis line {
  fill: none;
  stroke: #800000;
  shape-rendering: crispEdges;
}

.x.axis path {
  display: none;
}

.line {
  fill: none;
  stroke: steelblue;
  stroke-width: 2px;
}

.overlay {
  fill: none;
  stroke: none;
}
</style>
<body>
<div class="js-chart-container">
<script src="https://d3js.org/d3.v3.js"></script>
<script type="text/javascript">
"use strict";

/*global d3*/

var margin = {top: 10, right: 20, bottom: 40, left: 60},
    containerWidth = document.querySelector(".js-chart-container").clientWidth,
    containerHeight = 500,
    width = containerWidth - margin.left - margin.right,
    height = containerHeight - margin.top - margin.bottom;

var parseDate = d3.time.format("%Y-%m-%d %H:%M:%S").parse;

var x = d3.time.scale()
    .range([0, width]);

var y = d3.scale.linear()
    .range([height, 0]);

var color = d3.scale.category10();

var xAxis = d3.svg.axis()
    .scale(x)
    .ticks(10)
    .innerTickSize(9)
    .outerTickSize(0)
    .orient("bottom");

var yAxis = d3.svg.axis()
    .scale(y)
    .tickFormat(function(d) { return d;})
    .ticks(5)
    .innerTickSize(10)
    .outerTickSize(0)
    .orient("left");

var line = d3.svg.line()
    .interpolate("basis")
    .x(function(d) { return x(d.date); })
    .y(function(d) { return y(d.price); });

var svg = d3.select("body").append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
  .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

d3.csv("lmp_data.csv", function(error, data) {
  
  color.domain(d3.keys(data[0]).filter(function(key) { return key !== "date"; }));
	console.log(data)
  data.forEach(function(d) {
    d.date = parseDate(d.date);
  });

var companiesData = color.domain().map(function(name) {
    return {
      name: name,
      values: data.map(function(d) {
        return {date: d.date, price: +d[name]};
      })
    };
  });

x.domain(d3.extent(data, function(d) { return d.date; }));

y.domain([
    d3.min(companiesData, function(c) { return d3.min(c.values, function(v) { return v.price; }); }),
    d3.max(companiesData, function(c) { return d3.max(c.values, function(v) { return v.price; }); })
  ]);

svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis);

svg.append("g")
      .attr("class", "y axis")
      .call(yAxis);

svg.append("line")
        .attr({
            "class":"horizontalGrid",
            "x1" : 0,
            "x2" : width,
            "y1" : y(0),
            "y2" : y(0),
            "fill" : "none",
            "shape-rendering" : "crispEdges",
            "stroke" : "black",
            "stroke-width" : "1px",
            "stroke-dasharray": ("3, 3")
        });

var overlay = svg.append("defs").append("clipPath")
      .attr("id", "overlay")
    .append("rect")
      .attr("x", 0)
      .attr("y", 0)
      .attr("width", 0)
      .attr("height", height);

var container = svg.append("g")
    .attr("class", ".container")
    .attr("clip-path", "url(#overlay)");

var companies = container.selectAll(".company")
      .data(companiesData)
    .enter().append("g")
      .attr("class", "company");

overlay.transition()
      .duration(10000)
      .ease("linear")
      .attr("width", width);
});

</script>
</body>

Modified http://d3js.org/d3.v3.js to a secure url

https://d3js.org/d3.v3.js