DarienLiang/.block

## .block
license: mit

## README.md

      
    Raw
  

              README.md
            
          
    Built with blockbuilder.org

  
## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style> /* set the CSS */

body { font: 12px Arial;}

path {
    stroke: steelblue;
    stroke-width: 2;
    fill: none;
}

.axis path,
.axis line {
    fill: none;
    stroke: grey;
    stroke-width: 1;
    shape-rendering: crispEdges;
}

.legend {
    font-size: 16px;
    font-weight: bold;
    text-anchor: middle;
}

</style>
<body>

<!-- load the d3.js library -->
<script src="https://d3js.org/d3.v3.min.js"></script>

<script>

// Set the dimensions of the canvas / graph
var margin = {top: 30, right: 20, bottom: 70, left: 50},
    width = 600 - margin.left - margin.right,
    height = 300 - margin.top - margin.bottom;

// Parse the date / time
var parseDate = d3.time.format("%b %Y");

// Set the ranges
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);

// Define the line
var priceline = d3.svg.line()
    .x(function(d) { return x(d.date); })
    .y(function(d) { return y(d.price); });

// Adds the svg canvas
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 + ")");

// Get the data
d3.csv("weather2.csv", function(error, data) {
    data.forEach(function(d) {
		d.date = parseDate.parse(d.date);
		d.price = +d.price;
    });

    // Scale the range of the data
    x.domain(d3.extent(data, function(d) { return d.date; }));
    y.domain([0, d3.max(data, function(d) { return d.price; })]);

    // Nest the entries by symbol
    var dataNest = d3.nest()
        .key(function(d) {return d.symbol;})
        .entries(data);

    // set the colour scale
    var color = d3.scale.category10();

    // Loop through each symbol / key
    dataNest.forEach(function(d,i) {
      console.log(d);

        svg.append("path")
            .attr("class", "line")
            .style("stroke", function() { // Add the colours dynamically
                return d.color = color(d.key); })
            .attr("id", 'tag'+d.key.replace(/\s+/g, '')) // assign an ID
            .attr("d", priceline(d.values));


    });
/*
  // Add the X Axis
  svg.append("g")
      .attr("class", "axis")
      .attr("transform", "translate(0," + height + ")")
      .call(d3.axisBottom(x));

  // Add the Y Axis
  svg.append("g")
      .attr("class", "axis")
      .call(d3.axisLeft(y));
*/
});

</script>
</body>
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style> /* set the CSS */

	body { font: 12px Arial;}

	path {
	stroke: steelblue;
	stroke-width: 2;
	fill: none;
	}

	.axis path,
	.axis line {
	fill: none;
	stroke: grey;
	stroke-width: 1;
	shape-rendering: crispEdges;
	}

	.legend {
	font-size: 16px;
	font-weight: bold;
	text-anchor: middle;
	}

	</style>
	<body>

	<!-- load the d3.js library -->
	<script src="https://d3js.org/d3.v3.min.js"></script>

	<script>

	// Set the dimensions of the canvas / graph
	var margin = {top: 30, right: 20, bottom: 70, left: 50},
	width = 600 - margin.left - margin.right,
	height = 300 - margin.top - margin.bottom;

	// Parse the date / time
	var parseDate = d3.time.format("%b %Y");

	// Set the ranges
	var x = d3.time.scale().range([0, width]);
	var y = d3.scale.linear().range([height, 0]);

	// Define the line
	var priceline = d3.svg.line()
	.x(function(d) { return x(d.date); })
	.y(function(d) { return y(d.price); });

	// Adds the svg canvas
	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 + ")");

	// Get the data
	d3.csv("weather2.csv", function(error, data) {
	data.forEach(function(d) {
	d.date = parseDate.parse(d.date);
	d.price = +d.price;
	});

	// Scale the range of the data
	x.domain(d3.extent(data, function(d) { return d.date; }));
	y.domain([0, d3.max(data, function(d) { return d.price; })]);

	// Nest the entries by symbol
	var dataNest = d3.nest()
	.key(function(d) {return d.symbol;})
	.entries(data);

	// set the colour scale
	var color = d3.scale.category10();

	// Loop through each symbol / key
	dataNest.forEach(function(d,i) {
	console.log(d);

	svg.append("path")
	.attr("class", "line")
	.style("stroke", function() { // Add the colours dynamically
	return d.color = color(d.key); })
	.attr("id", 'tag'+d.key.replace(/\s+/g, '')) // assign an ID
	.attr("d", priceline(d.values));


	});
	/*
	// Add the X Axis
	svg.append("g")
	.attr("class", "axis")
	.attr("transform", "translate(0," + height + ")")
	.call(d3.axisBottom(x));

	// Add the Y Axis
	svg.append("g")
	.attr("class", "axis")
	.call(d3.axisLeft(y));
	*/
	});

	</script>
	</body>