D3.js Focus+Context via Brushing Ordinal Scale - javascript

I am still very new to d3.js and have added a Focus + Context via Brushing to my Scatter plot that has a logarithmic y-Axis and ordinal x-Axis scale, but it isn't working as intended. Brushing seems to be working at an offset on the X-Axis but doesn't only show the item/items selected.
Below is my brushed function:
// Brush Function
function brushed() {
var extent = brush.extent();
var d = xScale2.domain(),
r = xScale2.range();
extent = extent.map(function(e) { return d[d3.bisect(r, e) - 1]; });
xScale.domain(brush.empty() ? d : extent);
focus.select(".x.axis")
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", "rotate (-65)");
focus.selectAll(".point")
.attr("d", d3.svg.symbol().type(function(d) { return symbols[d.TYPE_CODE]; }))
.attr("transform", function(d) { return "translate(" + xScale(dateFn(d)) + "," + yScale(d.TYPE_VALUE) + ")"; })
.style("fill", function(d) { return colors[d.TYPE_CODE]; });
}
If anyone could help out with this (especially all the places I have to change and how), I would love to get this working and learn what I am doing wrong.
Full Code at: http://jsfiddle.net/brebuck/LL42b4L7/

Figured out my own solution to the problem.
Changed the Brush Function to:
// Brush Function
function brushed() {
var extent = brush.extent();
var d = xScale2.domain();
// Find out what is selected between the extent on the Ordinal Axis.
var SymbolInside = data.filter(function(d) {
return extent[0] <= xScale2(dateFn(d)) && xScale2(dateFn(d)) <= extent[1];
});
// Convert the Array of objects to return a single array of dates used for the ordinal axis.
SymbolInside = SymbolInside.map(function (d) { return dateFn(d); });
xScale.domain(brush.empty() ? d : SymbolInside);
focus.select(".x.axis")
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", "rotate (-65)");
focus.selectAll(".point")
.attr("d", d3.svg.symbol().type(function(d) { return symbols[d.TYPE_CODE]; }))
.attr("transform", function(d) { return "translate(" + xScale(dateFn(d)) + "," + yScale(d.TYPE_VALUE) + ")"; })
.style("fill", function(d) { return colors[d.TYPE_CODE]; });
}
Updated Code at: http://jsfiddle.net/brebuck/LL42b4L7/

Related

D3.js v4: Zoom on Bubble chart

I have this bubble chart and want to zoom in to be able to see the very small bubbles. I tried this code by Mike Bostock but I have not succeeded getting good zooming functions, I think it because I have another chart concept.
Other examples online apply zoom on charts that have axes but my chart has no axes.
Here is my Code:
d3.json("Data/New/Treemap_source.json", function (error, data) {
if (error) throw error;
var diameter = 693;
var color = d3.scaleOrdinal(d3.schemeCategory20);
var format = function (d){ return "BTC " + d3.format(",.2f")(d); }
var bubble = d3.pack(data)
.size([diameter, diameter])
.padding(1.5);
var svg = d3.select("#bubblediv")
.append("svg")
.attr("width", diameter + margin.left + margin.right)
.attr("height", diameter + margin.top + margin.bottom)
.attr("class", "bubble");
var nodes = d3.hierarchy(data)
.sum(function(d) { return d.VolumeBTC; });
var node = svg.selectAll(".node")
.data(bubble(nodes).descendants())
.enter()
.filter(function(d){
return !d.children
})
.append("g")
.attr("class", "node")
.attr("transform", function(d) {
return "translate(" + (d.x + margin.left)+ "," + (d.y + margin.top+20) + ")";
});
node.on("click", function (d) {
alert("This bubble contains: " + d.data.Symbol);
// var sel = d.data.Symbol;
d3.select('#my-select').property('value', d.data.Symbol);
// print_filter(d3.select('#my-select').property('value', d.data.Symbol));
// d3.select('#my-select').property('value', d.data.Symbol);
});
node.append("title")
.text(function(d) {
return d.data.Symbol + ": " + format(d.value);
});
d3.select("svg").append("text")
.attr("transform", "translate(" + (diameter / 2 -20) + " ,30)")
.attr('class','chartlabel')
.style("text-anchor", "middle")
.text("Altcoins Trading in BTC");
node.append("circle")
.attr("r", function(d) {
return d.r;
})
.style('stroke', '#263432')
.style('stroke-width', '1.5')
.style("fill", function(d,i) {
return color(i);
});
node.append("text")
.attr("dy", ".2em")
.style("text-anchor", "middle")
.text(function(d) {
return d.data.Symbol.substring(0, d.r / 3);
})
.attr("font-family", "sans-serif")
.attr("font-size", function(d){
return d.r/5;
})
.attr("fill", "white");
node.append("text")
.attr("dy", "1.3em")
.style("text-anchor", "middle")
.text(function(d) {
return format(d.data.VolumeBTC);
})
.attr("font-family", "Gill Sans", "Gill Sans MT")
.attr("font-size", function(d){
return d.r/6;
})
.attr("fill", "white");
d3.select(self.frameElement)
.style("height", diameter + "px");
});
As of d3 v4, you can zoom on any svg with the following:
function zoomed() {
svg.attr("transform", d3.event.transform);
}
var zoom = d3.zoom().on("zoom", zoomed);
svg.call(zoom);
To get it to work exactly as you want, you'll need to use d3-zoom:
https://github.com/d3/d3-zoom
Lasly, you'll probably want to have a button to reset the zoom, which can be done like this:
d3.select('#zoom-reset-button').on("click", function() {
zoom.transform(svg, d3.zoomIdentity);
});

D3.js How to identify a single bar uniquely within a group bar chart

I have created group bar chart by using D3.js. Each group has 2 bars. When any bar is clicked it must show some data using custom alert box. Now the bar can click and it shows data.
var state = svg.selectAll(".TestSuite")
.data(data)
.enter().append("g")
.attr("class", "TestSuite")
.on("click", function(d,i) {
if(i==0){
Alert.render(d3.select(this).data()[0].FalseStatements);
}else{
Alert.render(d3.select(this).data()[0].TrueStatements);
}
})
.attr("transform", function (d) {
return "translate(" + x0(d.TestSuite) + ",0)";
});
But data is vary according to clicked bars. So how to identify each single bar within a single group uniquely.
Here "if condition" that I used does not do the thing I want.How do I correct it?
Thank you.
(Suppose one group of bar consists two bars, one shows true count and other shows false count for a particular scenario. When we click the bar which shows true count then it should appear "TrueStatements" which is already have in data.using d3.select(this).data()[0].TrueStatements can do this. And also when someone click the bar which shows false count then it should appear "FalseStatements" which is already have in data.using d3.select(this).data()[0].FalseStatements can do this. My question is how do we identify the bar which shows true count and the bar which shows false count uniquely for do this task.)
EDITED:
How I get the data for bar chart(This is inside a for loop)
originalDataSetForBarChart.push({
TestSuite: "TS"+treeIndex,
Pass: trueAppear,
Fail: falseAppear,
FalseStatements : falseStatement,
TrueStatements : trueStatement
});
Bar chart code
var margin = {
top: 20,
right: 10,
bottom: 30,
left: 40
},
width = 890 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .5);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.ordinal()
.range(["#4169E1", "#800080"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format(""));
var w = width + margin.left + margin.right;
var h = height + margin.top + margin.bottom;
var svg = d3.select(".chart1").append("svg")
.attr("width", w)
.attr("height", h)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
//svg.call(tip);
var xg = svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")");
var yg = svg.append("g")
.attr("class", "y axis");
yg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Count");
I append bars to this chart inside a setInterval function using following method.
function update() {
startTime_barChart = new Date().getTime();
for (var i = 0; i < data.length; i++) {
var testSuite = d3.keys(data[i]).filter(function (key) {
return key !== "TestSuite";
});
}
data.forEach(function (d) {
d.trueFalseCount = testSuite.map(function (name) {
return {
name: name,
value: +d[name]
};
});
});
x0.domain(data.map(function (d) {
return d.TestSuite;
}));
x1.domain(testSuite).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function (d) {
return d3.max(d.trueFalseCount, function (d) {
return d.value;
});
})]);
//making the x axis/y axis
xg.call(xAxis);
yg.call(yAxis);
//removing all the rectangles
svg.selectAll(".TestSuite").remove();
var tip_word;
var tip = d3.tip()
.attr('class', 'd3-tip')
.offset([-10, 0])
.html(function(d) {
tip_word= "<strong style='color:white'>"+
"Pass count :"+
"</strong>"+
" <span style='color:white'>" + d.True +
"</span></br>"+
"<strong style='color:white'>"+
"Fail count :"+
"</strong>"+
" <span style='color:white'>" + d.False +
"</span>";
return word;
});
var state = svg.selectAll(".TestSuite")
.data(data)
.enter().append("g")
.attr("class", "TestSuite")
.on("click", function(d,i) {
if(i%2 == 0){//How to set this condition
Alert.render(d3.select(this).data()[0].FalseStatements);
}else{
Alert.render(d3.select(this).data()[0].TrueStatements);
}
})
.attr("transform", function (d) {
return "translate(" + x0(d.TestSuite) + ",0)";
});
svg.call(tip);
state.selectAll("rect")
.data(function (d) {
return d.trueFalseCount;})
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function (d) {
return x1(d.name);
})
.attr("y", function (d) {
return y(d.value);
})
.attr("height", function (d) {
return height - y(d.value);
})
.style("fill", function (d) {
return color(d.name);
});
if(barChartLegentController==1){
var legend = svg.selectAll(".legend")
.data(testSuite.slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
barChartLegentController=2;
}
endTime_barChart = new Date().getTime();
var totalbar = (endTime_barChart-startTime_barChart)/1000;
//alert('Total bar time : '+ totalbar+' seconds');
}
I'm not sure I fully understand what you are asking yet but the best way to identifying any element/entity is with an id, something like the following:
d3.select(this).attr(id, function(d, i) {return 'bar_' + i});
Add this inside the iterative function where you are creating your bars. In this way you will be able to select them from anywhere in your code with a d3.select('#bar_1).
If you only want to identify each bar it would be something like this:
var state = svg.selectAll(".TestSuite")
.data(data)
.enter().append("g")
.attr("id", function(d,i) {return 'bar_' + i})
.attr("class", "TestSuite")
.on("click", function(d,i) {
if(i==0){
Alert.render(d3.select(this).data()[0].FalseStatements);
}else{
Alert.render(d3.select(this).data()[0].TrueStatements);
}
})
.attr("transform", function (d) {
return "translate(" + x0(d.TestSuite) + ",0)";
});
In the case that you would like to identify each bar with an Id related to its contents (true or false statements) I would suggest something like the following:
var state = svg.selectAll(".TestSuite")
.data(data)
.enter().append("g")
.attr("class", "TestSuite")
.on("click", function(d,i) {
var barId;
if(i==0){
barId = 'falseBar_' + i;
Alert.render(d3.select(this).data()[0].FalseStatements);
}else{
barId = 'trueBar_' + i;
Alert.render(d3.select(this).data()[0].TrueStatements);
}
d3.select(this).attr('id', barId);
})
.attr("transform", function (d) {
return "translate(" + x0(d.TestSuite) + ",0)";
});
In any case, this will assign an unique Id to every bar (i.e. "bar_25" or "falseBar_14") to each bar, giving you an ideal way to identify each bar.
EDIT: After OP showed me the actual code they are working with, the following are my suggestions for a solution (which are actually on the same lines as the code above).
The code you should actually be tinkering with is the one below the code you posted. It is where the actual bars are rendered:
state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
My suggestion to add an id attribute to each bar would be the following:
state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("id", function(d, i) {return 'bar_' + i}) // <-- Edited line
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
It is important that you understand why this, and not the code block you provided initially, is the pertinent one. As you well said, the first block renders each group of bars (hence the append("g") which stands for svg group). The second block starts with a append("rect") which means svg rectangle. This and other lines (i.e. style("fill")..., attr("x")... and attr("y")...) clearly give away that this block is the one dealing with the actual bars and not the groups.

d3 - Rotate x-axis labels

I'm trying this graph:
with my data.
I wanted to rotate the x-axis labels.
Here's the code :
var timeLabels = svg.selectAll(".timeLabel")
.data(times)
.enter().append("text")
.text(function(d) { return d; })
.attr("x", function(d, i) { return i * gridSize; })
.attr("y", 0)
.style("text-anchor", "end")
.attr("transform", "translate(" + gridSize / 2 + ", -6)rotate(-90)")
.attr("class", function(d, i) { return ((i >= 8 && i <= 16) ? "timeLabel mono axis axis-worktime" : "timeLabel mono axis"); });
But the result I get is. Entire labels get rotated to -90 deg in a single straight line. Instead I wanted each label to be rotated to -90 deg. Like this:
I even tried using .attr("transform", function(d) {return "translate(" + gridSize / 2 + ", -6)rotate(-90)"}) but it didn't help.
Result :
Help will be very much pleased.
The problem is that when you rotate an element, it gets rotated around the origin point, (0,0), of the local coordinate system. If the element you're rotating isn't right next to the origin, it can end up moved quite a large distance, and possibly moved outside the chart altogether.
There are two ways you can fix it:
Position the label with a "transform" attribute instead of with x and y attributes. That way, the label's coordinate system -- including the (0,0) point of rotation -- will be positioned with it, and the rotation will happen where you expect. The code #Manoj gave follows that system, but assumes you are using the default xAxis function. For your custom axis label code, your labels are given a y value of 0, and an x value determined from a function. You just need to move those values into the transform attribute, paying careful attention that the transformation of the overall position comes before the rotation and adjustment:
var timeLabels = svg.selectAll(".timeLabel")
.data(times)
.enter().append("text")
.text(function(d) { return d; })
.attr("transform", function(d, i) {
return "translate(" + ( i * gridSize) + ",0)"
+ "translate(" + gridSize / 2 + ", -6)rotate(-90)";
} )
.style("text-anchor", "end")
.attr("class", function(d, i) { return ((i >= 8 && i <= 16) ?
"timeLabel mono axis axis-worktime" :
"timeLabel mono axis");
});
Of course, you could combine those two translation statements, as:
.attr("transform", function(d, i) {
return "translate(" + ( (i + 0.5) * gridSize) + ",-6)"
+ "rotate(-90)")
Alternately, you can specify a center of rotation in the rotate statement, by including the x and y values of the point you want it to rotate around:
var timeLabels = svg.selectAll(".timeLabel")
.data(times)
.enter().append("text")
.text(function(d) { return d; })
.attr("x", function(d, i) { return i * gridSize; })
.attr("y", 0)
.attr("transform", function(d, i) {
return "translate(" + gridSize / 2 + ", -6)" +
"rotate(-90 "+ ((i + 0.5) * gridSize) + " " + (-6) +")";
} )
.style("text-anchor", "end")
.attr("class", function(d, i) { return ((i >= 8 && i <= 16) ?
"timeLabel mono axis axis-worktime" :
"timeLabel mono axis");
});
As you can see, this version is rather repetitive, as we have to calculate the position of the label twice -- once to position it, and once to set the center of rotation. You can see why most examples (and the d3 axis functions) position the labels with translations, so they can just be rotated in place.
Try this code:
Fiddle:
svg.append("g") // Add the X Axis
.attr("class", "x axis")
.attr("id", "x")
.attr("transform", "translate(0," + (h) + ")")
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", function (d) {
return "rotate(-90)";
});

Cannot find D3.js memory leak

I'm a bit stuck, I created a D3 application that retrieves a bunch of sensor information from a database. I've made it so that it transitions and operates on a 30 second loop to update the information. It parses a Javascript Object and plots a line for each sensor on a graph. Everything seems to go well, but a couple of hours in the app will grind to a halt and stop updating. Then it complains about a script not responding. Here's the JS for the plot:
var thresholdTemp = 72;
var minutes = 5;
var transInterval;
//Main function to create a graph plot
function plot(date1, date2, interval) {
var data;
//If we define a date search parameter then we don't want to have it load interactive
if (date1 == undefined && date2==undefined) {
data = loadMinutesJSON(minutes);
} else {
data = searchJSON(date1, date2, interval);
}
var margin = {top: 20, right: 80, bottom: 60, left: 50},
width = 960 - margin.left - margin.right ,
height = 500 - margin.top - margin.bottom;
//Re-order the data to be more usable by the rest of the script
var parseDate = d3.time.format("%Y-%m-%d %H:%M:%S").parse;
//Convert the JSON to be better usable by D3
data = convertJSON(data);
//Nest the data so that it's grouped by serial number
data = d3.nest().key(function(d) { return d.serial; }).entries(data);
//Set the X domain to exist within the date and times given
var x = d3.time.scale().domain([getMinDate(data), getMaxDate(data)]).range([0, (width)]);
//Y Axis scale set to start at 45 degrees and go up to 30 degrees over highest temp
var y = d3.scale.linear()
.domain([
45,
getMaxTemp(data) + 10
])
.range([height, 0]);
//Set up the line colors based on serial number, this generates a color based on an ordinal value
var color = d3.scale.category20()
.domain(d3.keys(data[0]).filter(function(key) { return key === 'serial';}));
//Define where the X axis is
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickFormat(d3.time.format("%b %d %H:%M:%S"));
//Define where the Y axis is
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
//When called creates a line with the given datapoints
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.date); })
y(function(d) { return y(d.reading); });
//An extra line to define a maximum temperature threshold
var threshold = d3.svg.line()
.x(function(d) { return x(d.date);})
.y(function(d) { return y(thresholdTemp); });
//Append the SVG to the HTML element
var svg = d3.select("#plot").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 + ")");
//Define the clipping boundaries
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", (width + margin.left + margin.right))
.attr("height", height + margin.top + margin.bottom);
//Add the X axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform" , function (d) {return "rotate(-35)"});
//Add the Y axis and a label denoting it as temperature in F
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Temperature (F)");
//Create the lines based on serial number
var serial = svg.selectAll(".serial")
.data(data, function(d) { return d.key;})
.enter().append("g")
.attr("class", "serial");
//Add the extra line for a threshold and align it with the current time
var threshElement = svg.selectAll(".thresh")
.data(data, function(d) { return d.key;})
.enter().append("g")
.attr("class", ".thresh");
//Add the path to draw lines and clipping so they stay within bounds
var path = serial.append("path")
.attr("clip-path", "url(#clip)")
.attr("class", "line")
.attr("d", function (d) {return line(d.values);})
.style("stroke", function(d) {return color(d.key);});
//Custom path to add a line showing the temperature threshold
var threshpath = threshElement.append("path")
.attr("class", "line")
.attr("d", function(d) { return threshold(d.values);})
.style("stroke", "red");
//Add a label to the end of the threshold line denoting it as the threshold
threshElement.append("text")
.attr("transform", "translate(" + x(getMaxDate(data)) + "," + y(thresholdTemp + .5) + ")")
.attr("x", 3)
.attr("dy", ".35em")
.text("Threshold");
//Add the legend
plotLegend(data);
//Load in the new data and add it to the SVG
function transition() {
var newdata = loadMinutesJSON(minutes);
newdata = convertJSON(newdata);
console.log(newdata.length);
newdata = d3.nest().key(function(d) { return d.serial; }).entries(newdata);
if (data[0]["values"][0]["date"].toString() === newdata[0]["values"][0]["date"].toString()) { console.log("No New Data");return;}
//Merge the new data with the old and remove duplicates
data = merge(data,newdata);
//Chop off the preceding data that is no longer needed or visible
data = reduce(data, minutes);
x.domain([getMinDate(data), getMaxDate(data)]);
y.domain([45, getMaxTemp(data) + 10]);
d3.select(".x.axis")
.transition()
.duration(500).call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform" , function (d) {return "rotate(-35)"});
d3.select(".y.axis").transition().duration(500).call(yAxis);
var serial2 = svg.selectAll(".serial")
.data(data, function(d) { return d.key;});
serial2.enter().append("g").attr("class", "line");
var threshold2 = svg.selectAll(".thresh")
.data(data, function(d) { return d.key;});
threshold2.enter().append("g").attr("class", "line");
threshpath
.attr("d", function(d) {return threshold(d.values);})
.attr("transform", null)
.transition()
.duration(500)
.ease("linear");
threshElement.selectAll("text")
.attr("transform", "translate(" + x(getMaxDate(data)) + "," + y(thresholdTemp + .5 ) + ")")
.attr("x", 3)
.transition()
.duration(500)
.ease("linear");
path
.attr("d", function(d) { return line(d.values);})
.attr("transform", null)
.transition()
.duration(500)
.ease("linear");
//.attr("transform", "translate(" + x(0) + ")");
console.log(svg);
serial2.exit().remove();
threshold2.exit().remove();
//Remove the old, unused data
//data = reduce(data, minutes);
}
if(date1 == undefined && date2 == undefined) {
//Set the transition loop to run every 30 seconds
transInterval = setInterval(transition,30000);
}
}
Here's an example of the data structure:
[{"serial":"2D0008017075F210","date":"2013-08-23T14:35:19.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"serial":"2D0008017075F210","date":"2013-08-23T14:35:50.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"serial":"2D0008017075F210","date":"2013-08-23T14:36:20.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"serial":"2D0008017075F210","date":"2013-08-23T14:36:50.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"serial":"2D0008017075F210","date":"2013-08-23T14:37:20.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"serial":"2D0008017075F210","date":"2013-08-23T14:37:50.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"serial":"2D0008017075F210","date":"2013-08-23T14:38:20.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"serial":"2D0008017075F210","date":"2013-08-23T14:38:50.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"serial":"2D0008017075F210","date":"2013-08-23T14:39:20.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"serial":"2D0008017075F210","date":"2013-08-23T14:39:50.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"serial":"1D00080170496D10","date":"2013-08-23T14:35:19.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"serial":"1D00080170496D10","date":"2013-08-23T14:35:50.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"serial":"1D00080170496D10","date":"2013-08-23T14:36:20.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"serial":"1D00080170496D10","date":"2013-08-23T14:36:50.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"serial":"1D00080170496D10","date":"2013-08-23T14:37:20.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"serial":"1D00080170496D10","date":"2013-08-23T14:37:50.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"serial":"1D00080170496D10","date":"2013-08-23T14:38:20.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"serial":"1D00080170496D10","date":"2013-08-23T14:38:50.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"serial":"1D00080170496D10","date":"2013-08-23T14:39:20.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"serial":"1D00080170496D10","date":"2013-08-23T14:39:50.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"serial":"380008017037ED10","date":"2013-08-23T14:35:19.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"serial":"380008017037ED10","date":"2013-08-23T14:35:50.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"serial":"380008017037ED10","date":"2013-08-23T14:36:20.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"serial":"380008017037ED10","date":"2013-08-23T14:36:50.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"serial":"380008017037ED10","date":"2013-08-23T14:37:20.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"serial":"380008017037ED10","date":"2013-08-23T14:37:50.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"serial":"380008017037ED10","date":"2013-08-23T14:38:20.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"serial":"380008017037ED10","date":"2013-08-23T14:38:50.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"serial":"380008017037ED10","date":"2013-08-23T14:39:20.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"serial":"380008017037ED10","date":"2013-08-23T14:39:50.000Z","reading":74.3,"elevation":null,"room":null,"system":null}]
Watch your memory usage with the debugger. Remove code. Check if memory leak still occurs. Rinse and repeat.
Also, as a suggestion, don't use setInterval(). Use setTimeout() recursively instead.

Tooltips for multiple line graphs in D3

I am new to D3 and my requirement is to get multiple line graphs and provide tooltips for them.
I could get the multiple line graphs to appear but i am going wrong in getting multiple tooltip points.
I am new to javascript as well. So any help will be much appreciated.
Here is my code.
<script>
function showData(obj, d) {
var coord = d3.mouse(obj);
var infobox = d3.select(".infobox");
// now we just position the infobox roughly where our mouse is
infobox.style("left", (coord[0] + 200) + "px" );
infobox.style("top", (coord[1] - 130) + "px");
$(".infobox").html(d);
$(".infobox").show();
}
function hideData() {
$(".infobox").hide();
}
var xx,yy;
function xx(e) {
return x(e.date); };
function yy(e) {
return y(e.returns); };
var draw = function() {
var margin = {top:100,left:200,right:200,bottom:100},
width = 1150 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%Y-%m-%d").parse;
x = d3.time.scale().range([0,width]);
y = d3.scale.linear().range([height,0]);
//values of the axis is plotted here
var xAxis = d3.svg.axis().scale(x).orient("bottom");
var yAxis = d3.svg.axis().scale(y).orient("left");
var svg = d3.select("#chart").append("svg")
.attr("width" , width + margin.left + margin.right)
.attr("height" , height + margin.top + margin.bottom)
.attr("pointer-events" , "all")
.append("g")
//this is the line that positions the graph
.attr("transform" , "translate(" + margin.left + "," + margin.top +") ");
var activeReturns = new Array();
var passiveReturns = new Array();
var D3Obj = new Array();
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.returns);});
d3.json("d3.v3/sample1.json",function(error,result) {
result.data.forEach(function(d){
var arObj = new Object();
arObj.date = parseDate(d.date);
arObj.returns = +d.returns;
var prObj = new Object();
prObj.date = parseDate(d.date);
prObj.returns = +d.ticker_performance;
activeReturns.push(arObj);
passiveReturns.push(prObj);
});
D3Obj.push(activeReturns);
D3Obj.push(passiveReturns);
// this is where i tell that the line graph to be done
x.domain(d3.extent(D3Obj[0], function(d) {return d.date ;} ));
y.domain(d3.extent(D3Obj[0], function(d) {return d.returns ;} ));
svg.append("g")
.attr("class" , "x axis")
.call(xAxis)
.attr("transform","translate(0 ,"+ height + ")")
svg.append("g")
.attr("class" , "y axis")
//this is where yaxis line is added
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Price ($)");
svg.selectAll(".line")
.data(D3Obj)
.enter().append("path")
.attr("class","line")
.attr("d",line)
//this is where i am adding the tooltips
//tooltip for 1st line
svg.selectAll("circle")
.data(D3Obj[0])
.enter().append("circle")
.attr("fill", "red")
.attr("r", 2)
.attr("cx", xx)
.attr("cy", yy)
.on("mouseover", function(d) { showData(this, d.returns);})
.on("mouseout", function(){ hideData();});
//tooltip for 2nd line - this is where i think i am going wrong.
svg.selectAll("circle")
.data(D3Obj[1])
.enter().append("circle")
.attr("fill", "steelblue")
.attr("r", 2)
.attr("cx", xx)
.attr("cy", yy)
.on("mouseover", function(d) { showData(this, d.returns);})
.on("mouseout", function(){ hideData();});
});
$("#chart").append("<div class='infobox' style='display:none;'>Test</div>");
};
</script>
When you are creating the second point, nothing actually happens. The .data() function will try to match the data elements you pass to what you have selected (in this case one circle) and will succeed here. This means that your enter selection is empty and nothing happens.
The d3 way is to pass in all the data you want to use to create elements at once and handle accordingly in the functions to set attributes etc. That is, your code should look something like
svg.selectAll("circle")
.data(D3Obj)
.enter().append("circle")
.attr("fill", function(d, i) { if(i == 0) { return "red"; } else { return "steelblue"; } })
.attr("r", 2)
.attr("cx", xx)
.attr("cy", yy)
.on("mouseover", function(d) { showData(this, d.returns);})
.on("mouseout", function(){ hideData();});
This will create two circles and attach the corresponding listeners to them.

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