Pivot near neighbour finding working

examples/js/src/neighbourSampling-papaparsing.js

@@ -63,6 +63,13 @@ var MULTIPLIER = 50,
 // Create a color scheme for a range of numbers.
 var color = d3.scaleOrdinal(d3.schemeCategory10);
 
+
+$(document).ready(function() {
+  distanceFunction = calculateDistance;
+  d3.select('#startSimulation').on('click', startHybridSimulation);
+  $("#HLParameters").show();
+});
+
 /**
  * Parse the data from the provided csv file using Papa Parse library
  * @param  {file} evt - csv file.
@@ -112,10 +119,16 @@ function processData(data, error) {
   props.pop(); //Hide Iris index / last column from distance function
 
   //Put the nodes in random starting positions
+  //TODO Change this back
+  nodes.forEach(function (d) {
+    d.x = 0;
+    d.y = 0;
+  });
+  /*
   nodes.forEach(function (d) {
     d.x = (Math.random()-0.5) * 100000;
     d.y = (Math.random()-0.5) * 100000;
-  });
+  });*/
 
   addNodesToDOM(nodes);
 
@@ -139,7 +152,7 @@ function addNodesToDOM(data) {
     // it is a CLASS property).
     .attr("fill", function (d) {
       return color(d[COLOR_ATTRIBUTE]);
-    })
+    })/*
     .on("mouseover", function (d) {
       div.transition()
         .duration(200)
@@ -158,6 +171,7 @@ function addNodesToDOM(data) {
       node.attr("opacity", 1);
     })
     .on("click", function (d) {
+      console.log("click", clickedIndex);
       if (clickedIndex !== d.index) {
         if (springForce) {
           highlightNeighbours(Array.from(simulation.force(forceName).nodeNeighbours(d.index).keys()));
@@ -167,12 +181,13 @@ function addNodesToDOM(data) {
         node.attr("r", NODE_SIZE).attr("stroke-width", 0);
         clickedIndex = -1;
       }
-    });
+    })*/;
     if (selectedData)
       unSelectNodes(selectedData);
 }
 
 function ticked() {
+  console.log("ticked");
   // If rendering is selected, then draw at every iteration.
   if (rendering === true) {
     node // Each sub-circle in the SVG, update cx and cy
@@ -190,6 +205,7 @@ function ticked() {
 }
 
 function ended() {
+  console.log("ended");
   if (rendering !== true) { // Never drawn anything before? Now it's time.
     node
       .attr("cx", function (d) {
@@ -215,6 +231,7 @@ function ended() {
 }
 
 function brushEnded() {
+  console.log("brushEnded");
   var s = d3.event.selection,
     results = [];
 
@@ -248,6 +265,7 @@ function brushEnded() {
  * @param {*} node
  */
 function formatTooltip(node) {
+  console.log("formatTooltip", node);
   var textString = "",
     temp = "";
 
@@ -266,6 +284,7 @@ function formatTooltip(node) {
  * Halt the execution.
  */
 function stopSimulation() {
+  console.log("stopSimulation");
   simulation.stop();
   if (typeof hybridSimulation !== 'undefined') {
     hybridSimulation.stop();
@@ -278,6 +297,7 @@ function stopSimulation() {
  * @return {number}  the mean of the array.
  */
 function getAverage(array) {
+  console.log("getAverage", array);
   var total = 0;
   for (var i = 0; i < array.length; i++) {
     total += array[i];
@@ -290,7 +310,7 @@ function getAverage(array) {
  * @param {*} data
  */
 function unSelectNodes(data) {
-
+  console.log("unSelectNodes", data);
   selectedData = data;
   if (fileName === data.name && nodes) {
     node
@@ -348,7 +368,7 @@ function colorToAttribute() {
 
 /**
  * Update the distance range.
- */
+
 function updateDistanceRange() {
   if (springForce) {
     simulation.force(forceName).distanceRange(SELECTED_DISTANCE);
@@ -380,7 +400,7 @@ function pauseUnPause() {
  * @param {*} dataNodes
  * @param {*} properties
  * @param {*} normalization
- */
+
 function calculateAverageDistance(dataNodes, properties, normalization) {
   var sum = 0,
     n = nodes.length;
@@ -397,4 +417,4 @@ function calculateAverageDistance(dataNodes, properties, normalization) {
   }
 
   return sum / n;
-}
+}*/