nasser · April 12, 2019 19:11
diff --git a/index.html b/index.html
 <html>
 	<head>
 		<title>Simple Line Graph using SVG and d3.js</title>
 		<script src="d3.v2.js"></script>
 		<style>
 		html, body {
 			background: white;
 		}
 			/* tell the SVG path to be a thin blue line without any area fill */
 			path {
 				stroke: steelblue;
 				stroke-width: 1;
 				fill: none;
 			}
 			
 			.axis {
 			  shape-rendering: crispEdges;
 			}

 			.x.axis line {
 			  stroke: lightgrey;
 			}

 			.x.axis .minor {
 			  stroke-opacity: .5;
 			}

 			.x.axis path {
 			  display: none;
 			}

 			.y.axis line, .y.axis path {
 			  fill: none;
 			  stroke: #000;
 			}
 		</style>
 	</head>
 	<body>


 	<div id="graph" class="aGraph" style="position:absolute;top:0px;left:0; float:left;"></div>


 	<script>
 		/* implementation heavily influenced by http://bl.ocks.org/1166403 */
 		
 		// define dimensions of graph
 		var m = [80, 80, 80, 80]; // margins
 		var w = 1000 - m[1] - m[3]; // width
 		var h = 400 - m[0] - m[2]; // height
 		
 		// create a simple data array that we'll plot with a line (this array represents only the Y values, X will just be the index location)
 		var data = [3, 6, 2, 7, 5, 2, 0, 3, 8, 9, 2, 5, 9, 3, 6, 3, 6, 2, 7, 5, 2, 1, 3, 8, 9, 2, 5, 9, 2, 7];
 		
 		// X scale will fit all values from data[] within pixels 0-w
 		var x = d3.scale.linear().domain([0, data.length]).range([0, w]);
 		// Y scale will fit values from 0-10 within pixels h-0 (Note the inverted domain for the y-scale: bigger is up!)
 		var y = d3.scale.linear().domain([0, 10]).range([h, 0]);
 			// automatically determining max range can work something like this
 			// var y = d3.scale.linear().domain([0, d3.max(data)]).range([h, 0]);
 		
 		// create a line function that can convert data[] into x and y points
 		var line = d3.svg.line()
 			// assign the X function to plot our line as we wish
 			.x(function(d,i) { 
 				// verbose logging to show what's actually being done
 				console.log('Plotting X value for data point: ' + d + ' using index: ' + i + ' to be at: ' + x(i) + ' using our xScale.');
 				// return the X coordinate where we want to plot this datapoint
 				return x(i); 
 			})
 			.y(function(d) { 
 				// verbose logging to show what's actually being done
 				console.log('Plotting Y value for data point: ' + d + ' to be at: ' + y(d) + " using our yScale.");
 				// return the Y coordinate where we want to plot this datapoint
 				return y(d); 
 			})
 		
 			// Add an SVG element with the desired dimensions and margin.
 			var graph = d3.select("#graph").append("svg:svg")
 			      .attr("width", w + m[1] + m[3])
 			      .attr("height", h + m[0] + m[2])
 			    .append("svg:g")
 			      .attr("transform", "translate(" + m[3] + "," + m[0] + ")");
 		
 			// create yAxis
 			var xAxis = d3.svg.axis().scale(x).tickSize(-h).tickSubdivide(true);
 			// Add the x-axis.
 			graph.append("svg:g")
 			      .attr("class", "x axis")
 			      .attr("transform", "translate(0," + h + ")")
 			      .call(xAxis);
 		
 		
 			// create left yAxis
 			var yAxisLeft = d3.svg.axis().scale(y).ticks(4).orient("left");
 			// Add the y-axis to the left
 			graph.append("svg:g")
 			      .attr("class", "y axis")
 			      .attr("transform", "translate(-25,0)")
 			      .call(yAxisLeft);
 		
  			// Add the line by appending an svg:path element with the data line we created above
 			// do this AFTER the axes above so that the line is above the tick-lines
 		
 				function drawLine(data) {
 					// graph.selectAll("svg:path").remove();
 					graph.append("svg:path").attr("d", line(data));
 				}
 				
 				// drawLine(data);
 				
 				// 	var url = "ws://localhost:4649/flum";
 				// 
 				// window.onload = function() {
 				// 	websocket = new WebSocket (url);
 				// }
 				// 
 				// function buttonClick() {
 				// 	var j = 0;
 				// 	for (var i = 0; i < 10000000000; i++) {
 				// 		j++;
 				// 	}
 				// 	document.write("ok" + j)
 				// }
 			

 	</script>

 <!-- <button type="button" name="button" onclick="buttonClick()">click me</button> -->

 	</body>
 </html>
	<html>
	<head>
	<title>Simple Line Graph using SVG and d3.js</title>
	<script src="d3.v2.js"></script>
	<style>
	html, body {
	background: white;
	}
	/* tell the SVG path to be a thin blue line without any area fill */
	path {
	stroke: steelblue;
	stroke-width: 1;
	fill: none;
	}

	.axis {
	shape-rendering: crispEdges;
	}

	.x.axis line {
	stroke: lightgrey;
	}

	.x.axis .minor {
	stroke-opacity: .5;
	}

	.x.axis path {
	display: none;
	}

	.y.axis line, .y.axis path {
	fill: none;
	stroke: #000;
	}
	</style>
	</head>
	<body>


	<div id="graph" class="aGraph" style="position:absolute;top:0px;left:0; float:left;"></div>


	<script>
	/* implementation heavily influenced by http://bl.ocks.org/1166403 */

	// define dimensions of graph
	var m = [80, 80, 80, 80]; // margins
	var w = 1000 - m[1] - m[3]; // width
	var h = 400 - m[0] - m[2]; // height

	// create a simple data array that we'll plot with a line (this array represents only the Y values, X will just be the index location)
	var data = [3, 6, 2, 7, 5, 2, 0, 3, 8, 9, 2, 5, 9, 3, 6, 3, 6, 2, 7, 5, 2, 1, 3, 8, 9, 2, 5, 9, 2, 7];

	// X scale will fit all values from data[] within pixels 0-w
	var x = d3.scale.linear().domain([0, data.length]).range([0, w]);
	// Y scale will fit values from 0-10 within pixels h-0 (Note the inverted domain for the y-scale: bigger is up!)
	var y = d3.scale.linear().domain([0, 10]).range([h, 0]);
	// automatically determining max range can work something like this
	// var y = d3.scale.linear().domain([0, d3.max(data)]).range([h, 0]);

	// create a line function that can convert data[] into x and y points
	var line = d3.svg.line()
	// assign the X function to plot our line as we wish
	.x(function(d,i) {
	// verbose logging to show what's actually being done
	console.log('Plotting X value for data point: ' + d + ' using index: ' + i + ' to be at: ' + x(i) + ' using our xScale.');
	// return the X coordinate where we want to plot this datapoint
	return x(i);
	})
	.y(function(d) {
	// verbose logging to show what's actually being done
	console.log('Plotting Y value for data point: ' + d + ' to be at: ' + y(d) + " using our yScale.");
	// return the Y coordinate where we want to plot this datapoint
	return y(d);
	})

	// Add an SVG element with the desired dimensions and margin.
	var graph = d3.select("#graph").append("svg:svg")
	.attr("width", w + m[1] + m[3])
	.attr("height", h + m[0] + m[2])
	.append("svg:g")
	.attr("transform", "translate(" + m[3] + "," + m[0] + ")");

	// create yAxis
	var xAxis = d3.svg.axis().scale(x).tickSize(-h).tickSubdivide(true);
	// Add the x-axis.
	graph.append("svg:g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + h + ")")
	.call(xAxis);


	// create left yAxis
	var yAxisLeft = d3.svg.axis().scale(y).ticks(4).orient("left");
	// Add the y-axis to the left
	graph.append("svg:g")
	.attr("class", "y axis")
	.attr("transform", "translate(-25,0)")
	.call(yAxisLeft);

	// Add the line by appending an svg:path element with the data line we created above
	// do this AFTER the axes above so that the line is above the tick-lines

	function drawLine(data) {
	// graph.selectAll("svg:path").remove();
	graph.append("svg:path").attr("d", line(data));
	}

	// drawLine(data);

	// var url = "ws://localhost:4649/flum";
	//
	// window.onload = function() {
	// websocket = new WebSocket (url);
	// }
	//
	// function buttonClick() {
	// var j = 0;
	// for (var i = 0; i < 10000000000; i++) {
	// j++;
	// }
	// document.write("ok" + j)
	// }


	</script>

	<!-- <button type="button" name="button" onclick="buttonClick()">click me</button> -->

	</body>
	</html>