d3.js multiple line chart highlighting datapoints only - javascript

I don´t quite get the hang out of the bisect function in d3.js in order to highlight the values by a vertical line.
I already got it working for one line/path but the performance is poor, at least in google chrome. Probably because my function calculates every point on the path instead of the datapoints only, which is what I actually need.
Here is the code:
/*create svg element*/
var svg = d3.select('.linechart')
.append('svg')
.attr('width', w)
.attr('height', h)
.attr('id', 'chart');
/*x scale*/
var xScale = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) {
return d[0];
})])
.range([padding, w - padding]);
/*y scale*/
var yScale = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) {
return d[1];
})])
.range([h - padding, padding]);
/*x axis*/
var xAxis = d3.svg.axis()
.scale(xScale)
.orient('bottom')
.ticks(20)
.tickSize(0, 0)
//.tickPadding(padding);
/*append x axis*/
svg.append('g')
.attr({
'class': 'xaxis',
//'transform': 'translate(0,' + (h - padding) + ')'
'transform': 'translate(0,' + 0 + ')'
})
.call(xAxis);
/*y axis*/
var yAxis = d3.svg.axis()
.scale(yScale)
.orient('left')
.tickSize(0, 0)
.tickValues([0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100]);
/*append y axis*/
svg.append('g')
.attr({
'class': 'yaxis',
'transform': 'translate(' + padding + ',0)'
})
.call(yAxis);
/*define line*/
var lines = d3.svg.line()
.x(function(d) {
return xScale(d[0])
})
.y(function(d) {
return yScale(d[1])
})
.interpolate('monotone');
/*append line*/
var path = svg.append('path')
.attr({
'd': lines(dataset),
'fill': 'none',
'class': 'lineChart'
});
/*get length*/
var length = svg.select('.lineChart').node().getTotalLength();
/*animate line chart*/
svg.select('.lineChart')
.attr("stroke-dasharray", length + " " + length)
.attr("stroke-dashoffset", length)
.transition()
.ease('linear')
.delay(function(d) {
return dataset.length * 100;
})
.duration(3000)
.attr("stroke-dashoffset", 0);
/*add points*/
var points = svg.selectAll('circle')
.data(dataset)
.enter()
.append('circle');
/*point attributes*/
points.attr('cy', function(d) {
return yScale(d[1])
})
.style('opacity', 0)
.transition()
.duration(1000)
.ease('elastic')
.delay(function(d, i) {
return i * 100;
})
.attr({
'cx': function(d) {
return xScale(d[0]);
},
'cy': function(d) {
return yScale(d[1]);
},
'r': 5,
'class': 'datapoint',
'id': function(d, i) {
return i;
}
})
.style('opacity', 1);
// LINES INDIVIDUAL
function drawIndividualLines (){
/*define line*/
var linesIndividual = d3.svg.line()
.x(function(d) {
return xScale(d[0])
})
.y(function(d) {
return yScale(d[1])
})
.interpolate('monotone');
/*append line*/
var pathIndividual = svg.append('path')
.attr({
//'d': linesIndividual(datasetIndividual),
'd': linesIndividual(datasetIndividual),
'fill': 'none',
'class': 'lineChartIndividual'
});
/*get length*/
var lengthIndividual = svg.select('.lineChartIndividual').node().getTotalLength();
/*animate line chart*/
svg.select('.lineChartIndividual')
.attr("stroke-dasharray", lengthIndividual + " " + lengthIndividual)
.attr("stroke-dashoffset", lengthIndividual)
.transition()
.ease('linear')
.delay(function(d) {
return datasetIndividual.length * 100;
})
.duration(3000)
.attr("stroke-dashoffset", 0);
/*add points*/
var pointsIndividual = svg.selectAll('circleIndividual')
.data(datasetIndividual)
.enter()
.append('circle');
/*point attributes*/
pointsIndividual.attr('cy', function(d) {
return yScale(d[1])
})
.style('opacity', 0)
.transition()
.duration(1000)
.ease('elastic')
.delay(function(d, i) {
return i * 100;
})
.attr({
'cx': function(d) {
return xScale(d[0]);
},
'cy': function(d) {
return yScale(d[1]);
},
'r': 5,
'class': 'datapointIndividual',
'id': function(d, i) {
return i;
}
})
.style('opacity', 1);
};
$(".individual").click(function() {
drawIndividualLines();
drawIndividualLegend();
swapShifts();
});
var mouseG = svg.append("g")
.attr("class", "mouse-over-effects");
mouseG.append("path") // this is the white vertical line to follow mouse
.attr("class", "mouse-line")
.style("stroke", "white")
.style("stroke-width", "1px")
.style("opacity", "0");
var linesForMouse = document.getElementsByClassName('lineChart');
var linesIndividualForMouse = document.getElementsByClassName('lineChartIndividual');
var mousePerLine = mouseG.selectAll('.mouse-per-line')
.data(dataset)
.enter()
.append("g")
.attr("class", "mouse-per-line");
mousePerLine.append("circle")
.attr("r", 7)
.style("stroke", "#A0B1AB")
.style("fill", "none")
.style("stroke-width", "1px")
.style("opacity", "0");
mousePerLine.append("text")
.attr("transform", "translate(10,3)");
mouseG.append('svg:rect') // append a rect to catch mouse movements on canvas
.attr('width', w) // can't catch mouse events on a g element
.attr('height', h)
.attr('fill', 'none')
.attr('pointer-events', 'all')
.on('mouseout', function() { // on mouse out hide line, circles and text
d3.select(".mouse-line")
.style("opacity", "0");
d3.selectAll(".mouse-per-line circle")
.style("opacity", "0");
d3.selectAll(".mouse-per-line text")
.style("opacity", "0");
})
.on('mouseover', function() { // on mouse in show line, circles and text
d3.select(".mouse-line")
.style("opacity", "1");
d3.selectAll(".mouse-per-line circle")
.style("opacity", "1");
d3.selectAll(".mouse-per-line text")
.style("opacity", "1");
})
.on('mousemove', function() { // mouse moving over canvas
var mouse = d3.mouse(this);
d3.select(".mouse-line")
.attr("d", function() {
var d = "M" + mouse[0] + "," + height;
d += " " + mouse[0] + "," + 0;
return d;
});
d3.selectAll(".mouse-per-line")
.attr("transform", function(d, i) {
//console.log(w/mouse[0])
//var xDate = xScale.invert(mouse[0]),
//bisect = d3.bisector(function(d) { return d.date; }).right;
// idx = bisect(d.values, xDate);
var beginning = 0,
end = length,
target = null
console.log(end);
while (true) {
target = Math.floor((beginning + end) / 2);
//pos = linesForMouse[i].getPointAtLength(target);
pos = svg.select('.lineChart').node().getPointAtLength(target);
//console.log(pos);
if ((target === end || target === beginning) && pos.x !== mouse[0]) {
break;
}
if (pos.x > mouse[0]) end = target;
else if (pos.x < mouse[0]) beginning = target;
else break; //position found
}
d3.select(this).select('text')
.text(yScale.invert(pos.y).toFixed(2))
.attr("fill", "#fff");
return "translate(" + mouse[0] + "," + pos.y + ")";
});
});
Here is a Fiddle:
https://jsfiddle.net/mindcraft/vk2w7k2f/2/
So my questions are:
How do I manage to highlight the datapoints only? (Through the bisect function I don´t understand yet, I guess…)
How can I apply the same functionality to the second line (visible after clicking the "Show individual"-button in a more efficient way?
Thank you in advance!

Let me see if I can explain d3.bisector() for you. It will give you a huge performance improvement over searching every value between your two data points. A bisector is a form of array search for use on sorted data. But instead of searching for a particular value, you are searching for the proper index at which to insert an arbitrary value x in order to maintain sort order (a bisector bisects your array into two halves, one with values less than or equal to x and one with values greater than x). This index also gives you the closest values in your dataset to the new value (namely, index and index-1. This is how bisector() is really useful in your example. It will basically return the two closest values in your dataset to the location of the mouse. All you have to do is the arithmetic to find which of the two is the closest.
Here is an example of the process from https://bl.ocks.org/micahstubbs/e4f5c830c264d26621b80b754219ae1b with my comments mapping to my above explanation:
function mousemove() {
//convert absolute coordinates to the proper scale
const x0 = x.invert(d3.mouse(this)[0]);
//bisect the data
const i = bisectDate(data, x0, 1);
//get the two closest elements to the mouse
const d0 = data[i - 1];
const d1 = data[i];
//check which one is actually the closest
const d = x0 - d0.date > d1.date - x0 ? d1 : d0;
//draw your lines
focus.attr('transform', `translate(${x(d.date)}, ${y(d.close)})`);
focus.select('line.x')
.attr('x1', 0)
.attr('x2', -x(d.date))
.attr('y1', 0)
.attr('y2', 0);
focus.select('line.y')
.attr('x1', 0)
.attr('x2', 0)
.attr('y1', 0)
.attr('y2', height - y(d.close));
focus.select('text').text(formatCurrency(d.close));
}

Related

d3 tooltip - appended circle failing to follow values of line graph

I have a vertical line graph in d3 and I'm trying to add a tooltip in the form of a line and circle that follows the cursor movement in the vertical. The latter works but the circle fails to follow the path - I've tried different variations but the circle never follows the path, it's currently just following the y-axis of the graph (see attached image for example). I've achieved the same effect for a horizontal plot but when I try to adapt the code for a vertical graph I just can't get the circle to work properly.
I've brought an example together with the code below, still very new to javascript so code is a bit of a mess.
Screenshot of graph with circle (red) failing to follow the path:
function test(test_data) {
// setup params
var margin_ = {top: 30, right: 60, bottom: 30, left: 20},
width_ = 300
height_ = 700
// Add svg
var line_graph = d3.select("#my_dataviz_test")
.append("svg")
.attr("width", width_ + 100)
.attr("height", height_)
.append("g")
.attr("transform",
"translate(" + margin_.left + "," + margin_.top + ")");
d3.csv(test_data,
function(d){
return { output_time_ref: d.output_time_ref = +d.output_time_ref,
output_time: d3.timeParse("%d/%m/%Y %H:%M")(d.output_time),
prediction: d.prediction = +d.prediction,
}
},
function(data) {
// Add x axis
var x_test = d3.scaleLinear()
.domain([0, d3.max(data, function(d) { return +d.prediction; })])
.range([ 0, width_ ]);
line_graph.append("g")
.attr("transform", "translate(" + 0 + "," + height_ + ")")
.call(d3.axisBottom(x_test).tickSizeOuter(0).tickSizeInner(0).ticks(2))
.select(".domain").remove();
// Add Y axis
var y_test = d3.scaleLinear()
.domain([0, d3.max(data, function(d) { return +d.output_time_ref; })])
.range([ height_, 0 ]);
line_graph.append("g")
.call(d3.axisLeft(y_test).tickSizeOuter(0).tickSizeInner(0).ticks(5))
.select(".domain").remove();
// Add the line
path_test = line_graph.append("path")
.datum(data)
.attr("fill", "none")
.attr("fill", "steelblue")
.attr("fill-opacity", 0.2)
.attr("stroke", "steelblue")
.attr("stroke-width", 1)
.attr("d", d3.line()
.curve(d3.curveBasis)
.x(function(d) { return x_test(d.prediction) })
.y(function(d) { return y_test(d.output_time_ref) })
)
var mouseG2 = line_graph
.append("g")
.attr("class", "mouse-over-effects");
mouseG2
.append("path")
.attr("class", "mouse-line2")
.style("stroke", "#393B45")
.style("stroke-width", "0.5px")
.style("opacity", 0.75)
mouseG2.append("text")
.attr("class", "mouse-text2")
var totalLength2 = path_test.node().getTotalLength();
var mousePerLine2 = mouseG2.selectAll('.mouse-per-line2')
.data(data)
.enter()
.append("g")
.attr("class", "mouse-per-line2");
mousePerLine2.append("circle")
.attr("r", 8)
.style("stroke", 'red')
.style("fill", "none")
.style("stroke-width", "2px")
.style("opacity", "0");
mouseG2
.append('svg:rect')
.attr('width', width_)
.attr('height', height_)
.attr('fill', 'none')
// .attr('opacity', 0.2)
.attr('pointer-events', 'all')
.on('mouseout', function() {
d3.select("#my_dataviz_test")
.selectAll(".mouse-per-line2 circle")
.style("opacity", "0"); })
var mouseover = function(d) {
d3.select("#my_dataviz_test")
.select(".mouse-line2")
.style("opacity", "1")
.select(".mouse-text2")
.style("opacity", "1")
.select(".mouse-per-line2 circle")
.style("opacity", "1");
///////////////////////////////////////////////////
d3.select("#my_dataviz_test")
var mouse2 = d3.mouse(this);
d3.select("#my_dataviz_test")
.select(".mouse-text2")
.attr("y", mouse2[1])
.attr("transform", "translate(" + (mouse2[1]+60) + "," + (mouse2[1]+5) + ") rotate(90)")
d3.select("#my_dataviz_test")
.select(".mouse-line2")
.attr("d", function() {
var d = "M" + width_ + "," + mouse2[1];
d += " " + 0 + "," + mouse2[1];
return d;
})
d3.select("#my_dataviz_test")
.selectAll(".mouse-per-line2")
.attr("transform", function(d, i) {
var beginning2 = 0,
end2 = totalLength2
target2 = null;
while (true){
target2 = Math.floor((beginning2 + end2) / 2);
var pos2 = path_test.node().getPointAtLength(target2);
if ((target2 === end2 || target2 === beginning2) && pos2.y !== mouse2[1]) {
break;
}
if (pos2.y > mouse2[1]) { end2 = target2; }
else if (pos2.y < mouse2[1]) { beginning2 = target2; }
else {break};
}
d3.select("#my_dataviz_test").select('circle')
.style("opacity", 1)
return "translate(" + (pos2.x) + "," + mouse2[1] +")";
});
///////////////////////////////////////////////////
}
var mouseleave = function(d) {
d3.select("#my_dataviz_test")
.select(".mouse-line2")
.style("opacity", "0")
d3.select("#my_dataviz_test")
.select(".circle")
.style("opacity", "0")
}
line_graph
.on("mouseover", mouseover)
.on("mouseleave", mouseleave)
})
}
test_data.csv:
output_time_ref,output_time,prediction
0,04/01/2013 00:00,0
1,04/01/2013 00:30,0
2,04/01/2013 01:00,0
3,04/01/2013 01:30,0
4,04/01/2013 02:00,0
5,04/01/2013 02:30,0
6,04/01/2013 00:00,0
7,04/01/2013 03:30,0
8,04/01/2013 04:00,0
9,04/01/2013 04:30,8.17E-05
10,04/01/2013 05:00,0.002014463
11,04/01/2013 05:30,0.01322314
12,04/01/2013 06:00,0.033264463
13,04/01/2013 06:30,0.059607438
14,04/01/2013 07:00,0.098553719
15,04/01/2013 07:30,0.145661157
16,04/01/2013 08:00,0.186983471
17,04/01/2013 08:30,0.225206612
18,04/01/2013 09:00,0.267561983
19,04/01/2013 09:30,0.314049587
20,04/01/2013 10:00,0.334710744
21,04/01/2013 10:30,0.350206612
22,04/01/2013 11:00,0.359504132
23,04/01/2013 11:30,0.375
24,04/01/2013 12:00,0.393595041
25,04/01/2013 12:30,0.396694215
26,04/01/2013 13:00,0.393595041
27,04/01/2013 13:30,0.385330579
28,04/01/2013 14:00,0.367768595
29,04/01/2013 14:30,0.344008264
30,04/01/2013 15:00,0.320247934
31,04/01/2013 15:30,0.297520661
32,04/01/2013 16:00,0.273760331
33,04/01/2013 16:30,0.254132231
34,04/01/2013 17:00,0.216942149
35,04/01/2013 17:30,0.167355372
36,04/01/2013 18:00,0.123966942
37,04/01/2013 18:30,0.080785124
38,04/01/2013 19:00,0.041115702
39,04/01/2013 19:30,0.015805785
40,04/01/2013 20:00,0.002489669
41,04/01/2013 20:30,2.67E-05
42,04/01/2013 21:00,1.24E-05
43,04/01/2013 21:30,0
44,04/01/2013 22:00,0
45,04/01/2013 22:30,0
46,04/01/2013 23:00,0
47,04/01/2013 23:30,0
You can precisely compute x by y using the input data:
const y = d3.event.layerY - margin_.top;
const curY = y_test.invert(y);
const minY = Math.floor(curY);
const maxY = Math.ceil(curY);
if (data[minY] && data[maxY]) {
const yDelta = curY - minY;
const minP = data[minY].prediction;
const maxP = data[maxY].prediction;
const curP = minP + (maxP - minP) * yDelta;
const xPos = x_test(curP)
...
}
See it's working in the snippet:
const csvData = `output_time_ref,output_time,prediction
0,04/01/2013 00:00,0
1,04/01/2013 00:30,0
2,04/01/2013 01:00,0
3,04/01/2013 01:30,0
4,04/01/2013 02:00,0
5,04/01/2013 02:30,0
6,04/01/2013 00:00,0
7,04/01/2013 03:30,0
8,04/01/2013 04:00,0
9,04/01/2013 04:30,8.17E-05
10,04/01/2013 05:00,0.002014463
11,04/01/2013 05:30,0.01322314
12,04/01/2013 06:00,0.033264463
13,04/01/2013 06:30,0.059607438
14,04/01/2013 07:00,0.098553719
15,04/01/2013 07:30,0.145661157
16,04/01/2013 08:00,0.186983471
17,04/01/2013 08:30,0.225206612
18,04/01/2013 09:00,0.267561983
19,04/01/2013 09:30,0.314049587
20,04/01/2013 10:00,0.334710744
21,04/01/2013 10:30,0.350206612
22,04/01/2013 11:00,0.359504132
23,04/01/2013 11:30,0.375
24,04/01/2013 12:00,0.393595041
25,04/01/2013 12:30,0.396694215
26,04/01/2013 13:00,0.393595041
27,04/01/2013 13:30,0.385330579
28,04/01/2013 14:00,0.367768595
29,04/01/2013 14:30,0.344008264
30,04/01/2013 15:00,0.320247934
31,04/01/2013 15:30,0.297520661
32,04/01/2013 16:00,0.273760331
33,04/01/2013 16:30,0.254132231
34,04/01/2013 17:00,0.216942149
35,04/01/2013 17:30,0.167355372
36,04/01/2013 18:00,0.123966942
37,04/01/2013 18:30,0.080785124
38,04/01/2013 19:00,0.041115702
39,04/01/2013 19:30,0.015805785
40,04/01/2013 20:00,0.002489669
41,04/01/2013 20:30,2.67E-05
42,04/01/2013 21:00,1.24E-05
43,04/01/2013 21:30,0
44,04/01/2013 22:00,0
45,04/01/2013 22:30,0
46,04/01/2013 23:00,0
47,04/01/2013 23:30,0`;
var margin_ = {top: 30, right: 60, bottom: 30, left: 20},
width_ = 300
height_ = 700
// Add svg
var line_graph = d3.select("#my_dataviz_test")
.append("svg")
.attr("width", width_ + 100)
.attr("height", height_)
.append("g")
.attr("transform",
"translate(" + margin_.left + "," + margin_.top + ")");
const point = line_graph.append('circle')
.attr('r', 5)
.style('fill', 'red');
const data = d3.csvParse(csvData).map(d => ({
output_time_ref: +d.output_time_ref,
output_time: d3.timeParse("%d/%m/%Y %H:%M")(d.output_time),
prediction: +d.prediction,
}));
console.log(data);
// Add x axis
var x_test = d3.scaleLinear()
.domain([0, d3.max(data, d => d.prediction)])
.range([ 0, width_ ]);
line_graph.append("g")
.attr("transform", "translate(" + 0 + "," + height_ + ")")
.call(d3.axisBottom(x_test).tickSizeOuter(0).tickSizeInner(0).ticks(2))
.select(".domain").remove();
// Add Y axis
var y_test = d3.scaleLinear()
.domain([0, d3.max(data, d => +d.output_time_ref)])
.range([ height_, 0 ]);
line_graph.append("g")
.call(d3.axisLeft(y_test).tickSizeOuter(0).tickSizeInner(0).ticks(5))
.select(".domain").remove();
// Add the line
path_test = line_graph.append("path")
.datum(data)
.attr("fill", "none")
.attr("fill", "steelblue")
.attr("fill-opacity", 0.2)
.attr("stroke", "steelblue")
.attr("stroke-width", 1)
.attr("d", d3.line()
.curve(d3.curveBasis)
.x(function(d) { return x_test(d.prediction) })
.y(function(d) { return y_test(d.output_time_ref) })
)
line_graph.on('mousemove', () => {
const y = d3.event.layerY - margin_.top;
const curY = y_test.invert(y);
const minY = Math.floor(curY);
const maxY = Math.ceil(curY);
if (data[minY] && data[maxY]) {
const yDelta = curY - minY;
const minP = data[minY].prediction;
const maxP = data[maxY].prediction;
const curP = minP + (maxP - minP) * yDelta;
const xPos = x_test(curP)
// console.log(xPos);
point
.attr('cx', xPos)
.attr('cy', y)
}
// line_graph
// y_test
})
/*
var mouseG2 = line_graph
.append("g")
.attr("class", "mouse-over-effects");
mouseG2
.append("path")
.attr("class", "mouse-line2")
.style("stroke", "#393B45")
.style("stroke-width", "0.5px")
.style("opacity", 0.75)
mouseG2.append("text")
.attr("class", "mouse-text2")
var totalLength2 = path_test.node().getTotalLength();
var mousePerLine2 = mouseG2.selectAll('.mouse-per-line2')
.data(data)
.enter()
.append("g")
.attr("class", "mouse-per-line2");
mousePerLine2.append("circle")
.attr("r", 8)
.style("stroke", 'red')
.style("fill", "none")
.style("stroke-width", "2px")
.style("opacity", "0");
mouseG2
.append('svg:rect')
.attr('width', width_)
.attr('height', height_)
.attr('fill', 'none')
// .attr('opacity', 0.2)
.attr('pointer-events', 'all')
.on('mouseout', function() {
d3.select("#my_dataviz_test")
.selectAll(".mouse-per-line2 circle")
.style("opacity", "0"); })
var mouseover = function(d) {
d3.select("#my_dataviz_test")
.select(".mouse-line2")
.style("opacity", "1")
.select(".mouse-text2")
.style("opacity", "1")
.select(".mouse-per-line2 circle")
.style("opacity", "1");
d3.select("#my_dataviz_test")
var mouse2 = d3.mouse(this);
d3.select("#my_dataviz_test")
.select(".mouse-text2")
.attr("y", mouse2[1])
.attr("transform", "translate(" + (mouse2[1]+60) + "," + (mouse2[1]+5) + ") rotate(90)")
d3.select("#my_dataviz_test")
.select(".mouse-line2")
.attr("d", function() {
var d = "M" + width_ + "," + mouse2[1];
d += " " + 0 + "," + mouse2[1];
return d;
})
d3.select("#my_dataviz_test")
.selectAll(".mouse-per-line2")
.attr("transform", function(d, i) {
var beginning2 = 0,
end2 = totalLength2
target2 = null;
while (true){
target2 = Math.floor((beginning2 + end2) / 2);
var pos2 = path_test.node().getPointAtLength(target2);
if ((target2 === end2 || target2 === beginning2) && pos2.y !== mouse2[1]) {
break;
}
if (pos2.y > mouse2[1]) { end2 = target2; }
else if (pos2.y < mouse2[1]) { beginning2 = target2; }
else {break};
}
d3.select("#my_dataviz_test").select('circle')
.style("opacity", 1)
return "translate(" + (pos2.x) + "," + mouse2[1] +")";
});
}
var mouseleave = function(d) {
d3.select("#my_dataviz_test")
.select(".mouse-line2")
.style("opacity", "0")
d3.select("#my_dataviz_test")
.select(".circle")
.style("opacity", "0")
}
line_graph
.on("mouseover", mouseover)
.on("mouseleave", mouseleave);
*/
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<div id="my_dataviz_test" />

d3: how to snap mouse over cursor to existing data points

In the following snippet (based on the answer of #Gerardo Furtado d3 multi line with mouse over cursor for both y AND x value) the mouse over cursor is interpolating the values between data points.
How is it possible that the cursor only shows values for the real data points?
<!DOCTYPE html>
<html>
<head>
<script data-require="d3#3.5.3" data-semver="3.5.3" src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.3/d3.js"></script>
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
</style>
</head>
<body>
<script>
var myData = "date New York San Francisco Austin\n\
20111001 63.4 62.7 72.2\n\
20111002 58.0 59.9 67.7\n\
20111006 58.8 57.0 77.0\n\
20111007 57.9 56.7 82.3\n\
20111008 61.8 56.8 78.9\n\
20111009 69.3 56.7 68.8\n\
20111010 71.2 60.1 68.7\n\
20111015 61.7 64.6 68.0\n\
20111016 61.8 61.6 70.6\n\
20111017 62.8 61.1 71.1\n\
20111018 60.8 59.2 70.0\n\
20111022 54.4 60.7 72.4\n";
var margin = {
top: 20,
right: 80,
bottom: 30,
left: 50
},
width = 500 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%Y%m%d").parse;
var parseDate2 = d3.time.format("%Y/%m/%d");
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)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var line = d3.svg.line()
.interpolate("linear")
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.temperature);
});
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 + ")");
var data = d3.tsv.parse(myData);
color.domain(d3.keys(data[0]).filter(function(key) {
return key !== "date";
}));
data.forEach(function(d) {
d.date = parseDate(d.date);
});
var cities = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {
date: d.date,
temperature: +d[name]
};
})
};
});
x.domain(d3.extent(data, function(d) {
return d.date;
}));
y.domain([
d3.min(cities, function(c) {
return d3.min(c.values, function(v) {
return v.temperature;
});
}),
d3.max(cities, function(c) {
return d3.max(c.values, function(v) {
return v.temperature;
});
})
]);
var legend = svg.selectAll('g')
.data(cities)
.enter()
.append('g')
.attr('class', 'legend');
legend.append('rect')
.attr('x', width - 20)
.attr('y', function(d, i) {
return i * 20;
})
.attr('width', 10)
.attr('height', 10)
.style('fill', function(d) {
return color(d.name);
});
legend.append('text')
.attr('x', width - 8)
.attr('y', function(d, i) {
return (i * 20) + 9;
})
.text(function(d) {
return d.name;
});
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
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 (ºF)");
var city = svg.selectAll(".city")
.data(cities)
.enter().append("g")
.attr("class", "city");
city.append("path")
.attr("class", "line")
.attr("d", function(d) {
return line(d.values);
})
.style("stroke", function(d) {
return color(d.name);
});
city.append("text")
.datum(function(d) {
return {
name: d.name,
value: d.values[d.values.length - 1]
};
})
.attr("transform", function(d) {
return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")";
})
.attr("x", 3)
.attr("dy", ".35em")
.text(function(d) {
return d.name;
});
var mouseG = svg.append("g")
.attr("class", "mouse-over-effects");
mouseG.append("path") // this is the black vertical line to follow mouse
.attr("class", "mouse-line")
.style("stroke", "black")
.style("stroke-width", "1px")
.style("opacity", "0");
var lines = document.getElementsByClassName('line');
var mousePerLine = mouseG.selectAll('.mouse-per-line')
.data(cities)
.enter()
.append("g")
.attr("class", "mouse-per-line");
mousePerLine.append("circle")
.attr("r", 7)
.style("stroke", function(d) {
return color(d.name);
})
.style("fill", "none")
.style("stroke-width", "1px")
.style("opacity", "0");
mousePerLine.append("text")
.attr("transform", "translate(10,3)");
mouseG.append('svg:rect') // append a rect to catch mouse movements on canvas
.attr('width', width) // can't catch mouse events on a g element
.attr('height', height)
.attr('fill', 'none')
.attr('pointer-events', 'all')
.on('mouseout', function() { // on mouse out hide line, circles and text
d3.select(".mouse-line")
.style("opacity", "0");
d3.selectAll(".mouse-per-line circle")
.style("opacity", "0");
d3.selectAll(".mouse-per-line text")
.style("opacity", "0");
})
.on('mouseover', function() { // on mouse in show line, circles and text
d3.select(".mouse-line")
.style("opacity", "1");
d3.selectAll(".mouse-per-line circle")
.style("opacity", "1");
d3.selectAll(".mouse-per-line text")
.style("opacity", "1");
})
.on('mousemove', function() { // mouse moving over canvas
var mouse = d3.mouse(this);
d3.select(".mouse-line")
.attr("d", function() {
var d = "M" + mouse[0] + "," + height;
d += " " + mouse[0] + "," + 0;
return d;
});
d3.selectAll(".mouse-per-line")
.attr("transform", function(d, i) {
var xDate = x.invert(mouse[0]),
bisect = d3.bisector(function(d) { return d.date; }).right;
idx = bisect(d.values, xDate);
var beginning = 0,
end = lines[i].getTotalLength(),
target = null;
while (true){
target = Math.floor((beginning + end) / 2);
pos = lines[i].getPointAtLength(target);
if ((target === end || target === beginning) && pos.x !== mouse[0]) {
break;
}
if (pos.x > mouse[0]) end = target;
else if (pos.x < mouse[0]) beginning = target;
else break; //position found
}
d3.select(this).select('text')
.text(y.invert(pos.y).toFixed(2) + " - "
+ parseDate2(xDate));
return "translate(" + mouse[0] + "," + pos.y +")";
});
});
</script>
</body>
</html>

SVG too small and excluding ticks and appended text d3.js

I have a bar chart and somehow the whole svg container is only rects and everything that falls in the area where the rects are, and so y-axis ticks are left outside of the container. How can I fix that so that the text at the top and y-axis ticks which are images are not left outside.
my code,
var barsData = [{
name: "walnuts",
value: 332
}, {
name: "apples",
value: 206
}]
// mapBars start here
/* Set chart dimensions */
var widthBar = 960,
heightBar = 250,
marginBar = {top:10, right:10, bottom:20, left:60};
//subtract margins
widthBar = widthBar - marginBar.left - marginBar.right;
heightBar = heightBar - marginBar.top - marginBar.bottom;
//sort data from highest to lowest
barsData = barsData.sort(function(a, b){ return b.value - a.value; });
//Sets the y scale from 0 to the maximum data element
var y = d3.scale.ordinal()
.domain(barsData.map(function(d){ return d.name}))
.rangeRoundBands([0, heightBar], .1);
var x = d3.scale.linear()
.range([0, widthBar])
.domain([0, d3.max(barsData, function(d){return d.value})])
var yAxis = d3.svg.axis()
.scale(y)
.orient('left')
var barsSvg = d3.select("#chart")
.append("svg")
.attr("class", "barChart")
.attr("width", "100%")
.attr('preserveAspectRatio', 'xMidYMin')
.attr("viewBox", '0 0 ' + parseInt(widthBar + marginBar.left + marginBar.right) + ' ' + parseInt(heightBar + marginBar.top + marginBar.bottom));
var bar = barsSvg.selectAll(".bar")
.data(barsData)
.enter()
.append("rect")
.attr("id", function(d, i) {return "bar" + d.name;})
.attr('class', 'mapBars')
.attr("x", 0)
.attr("y", function(d){ return y(d.name)})
.attr("width", function(d) {return x(d.value)})
.attr("height", y.rangeBand())
.attr("fill", function(d, i){
if(d.name == 'walnuts') {return '#006600'} else {return '#2980b9'}
});
var labelsBar = barsSvg.selectAll('text')
.data(barsData)
.enter()
.append('text')
.text(function(d){return d.value})
.attr('x', marginBar.top)
.attr('y', function(d, i) {return 90*i + 80;})
.attr("font-size", "38px")
.attr("fill", "#fff")
.style("font-weight", "bold");;
var y_xis = barsSvg.call(yAxis);
var lineEnd = 270;
var line = barsSvg.append("line")
.attr('class', 'endLine')
.attr("x1", function(){ return x(lineEnd)})
.attr("x2", function(){ return x(lineEnd)})
.attr("y1", 0)
.attr("y2", heightBar)
.attr("stroke-width", 6)
.attr("stroke", "red")
.attr("stroke-dasharray", "8,8")
var myText = barsSvg.append("text")
.attr("x", function(){ return x(lineEnd - 107)})
.attr("class", "myLabel")//easy to style with CSS
.attr("y", 9)//magical number here
.text("Winner crosses this line")
.attr('fill', 'red')
.attr('font-size', '25px');
barsSvg.selectAll(".tick text").remove()
barsSvg.selectAll(".tick")
.each( function(d) {
var p = d3.select(this);
p.append("svg:image")
.attr("x", -120)
.attr("y", -40)
.attr("dy", widthBar)
.attr("width", 100)
.attr("height", 100)
.attr("xlink:href",
function(d){
if(d == 'walnuts') { return 'http://nutritionfacts.org/wp-content/uploads/2015/08/NF-Aug11-Walnuts-and-Artery-Function.jpg'}
else if (d == 'apples') { return 'http://nutritionfacts.org/wp-content/uploads/2015/08/NF-Aug11-Walnuts-and-Artery-Function.jpg'}
});
})
see plunker
You should edit the svg viewBox
.attr("viewBox", '0 0 ' + parseInt(widthBar + marginBar.left + marginBar.right) + ' ' + parseInt(heightBar + marginBar.top + marginBar.bottom));
to show elements below 0 in x or y
.attr("viewBox", '-120 -40 ' + parseInt(widthBar + marginBar.left + marginBar.right) + ' ' + parseInt(heightBar + marginBar.top + marginBar.bottom));
I chose -120 and -40 based on the relative position of your images, although I might have missed something: feel free to adjust if it's too large/too small.

Interactive line-chart with d3.js

I'm trying to make an interactive line-chart with d3.js. I get the datas from two csv files (emissions.csv and gdp.csv) and I would like that when i pass with the mouse on the graph, it shows a kind of label with information on the corresponding point on the line. Now I have to pass the mouse ON the line to show the label and I can't figure out how to do what i want to do. I've found this example that shows what I want but I cant understand some of the code-lines and I can't understand how to use it on mine graph.
Here my code:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
/*display: none;*/
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
</style>
<body>
<script data-require="d3#3.5.3" data-semver="3.5.3" src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.3/d3.js"></script>
<script>
var margin = {top: 20, right: 80, bottom: 30, left: 150},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.linear()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.category10();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var line = d3.svg.line()
//.interpolate("basis")
.x(function(d) { return x(d.year); })
.y(function(d) { return y(d.emission); });
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("europe_emission.csv", function(error, data) {
if (error) throw error;
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "year"; }));
var cities = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {year: d.year, emission: +d[name]};
})
};
});
x.domain(d3.extent(data, function(d) { return d.year; }));
y.domain([
0,
d3.max(cities, function(c) { return d3.max(c.values, function(v) { return v.emission; }); })
]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
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("Emission (thousand metric tons of CO2)");
var city = svg.selectAll(".city")
.data(cities)
.enter().append("g")
.attr("class", "city");
city.append("path")
.attr("class", "line")
.attr("d", function(d) {
return line(d.values);
})
.style("stroke", function(d) {
return color(d.name);
});
city.append("text")
.datum(function(d) {
return {
name: d.name,
value: d.values[d.values.length - 1]
};
})
.attr("transform", function(d) {
return "translate(" + x(d.value.year) + "," + y(d.value.emission) + ")";
})
.attr("x", 3)
.attr("dy", ".35em")
.text(function(d) {
return d.name;
});
var mouseG = svg.append("g")
.attr("class", "mouse-over-effects");
mouseG.append("path") // this is the black vertical line to follow mouse
.attr("class", "mouse-line")
.style("stroke", "black")
.style("stroke-width", "1px")
.style("opacity", "0");
var lines = document.getElementsByClassName('line');
var mousePerLine = mouseG.selectAll('.mouse-per-line')
.data(cities)
.enter()
.append("g")
.attr("class", "mouse-per-line");
mousePerLine.append("circle")
.attr("r", 7)
.style("stroke", function(d) {
return color(d.name);
})
.style("fill", "none")
.style("stroke-width", "1px")
.style("opacity", "0");
mousePerLine.append("text")
.attr("transform", "translate(10,3)");
mouseG.append('svg:rect') // append a rect to catch mouse movements on canvas
.attr('width', width) // can't catch mouse events on a g element
.attr('height', height)
.attr('fill', 'none')
.attr('pointer-events', 'all')
.on('mouseout', function() { // on mouse out hide line, circles and text
d3.select(".mouse-line")
.style("opacity", "0");
d3.selectAll(".mouse-per-line circle")
.style("opacity", "0");
d3.selectAll(".mouse-per-line text")
.style("opacity", "0");
})
.on('mouseover', function() { // on mouse in show line, circles and text
d3.select(".mouse-line")
.style("opacity", "1");
d3.selectAll(".mouse-per-line circle")
.style("opacity", "1");
d3.selectAll(".mouse-per-line text")
.style("opacity", "1");
})
.on('mousemove', function() { // mouse moving over canvas
var mouse = d3.mouse(this);
d3.select(".mouse-line")
.attr("d", function() {
var d = "M" + mouse[0] + "," + height;
d += " " + mouse[0] + "," + 0;
return d;
});
d3.selectAll(".mouse-per-line")
.attr("transform", function(d, i) {
//console.log(width/mouse[0])
var xDate = x.invert(mouse[0]),
bisect = d3.bisector(function(d) { return d.year; }).right;
idx = bisect(d.values, xDate);
var beginning = 0,
end = lines[i].getTotalLength(),
target = null;
while (true){
target = Math.floor((beginning + end) / 2);
pos = lines[i].getPointAtLength(target);
if ((target === end || target === beginning) && pos.x !== mouse[0]) {
break;
}
if (pos.x > mouse[0]) end = target;
else if (pos.x < mouse[0]) beginning = target;
else break; //position found
}
d3.select(this).select('text')
.text(y.invert(pos.y).toFixed(2));
return "translate(" + mouse[0] + "," + pos.y +")";
});
});
});
</script>
europe_emission.csv:
year,UnitedKingdom,Italy,France,Spain,Germany
2012,483423,386666,368845,276636,821717
2011,464036,413379,364819,280922,810441
2010,504997,424993,391075,280377,829401
2009,487442,414809,381992,293732,785602
2008,536733,463695,400720,333181,851111
2007,554251,475436,407254,363744,848548
2006,561128,483533,416414,356712,873246
2005,561101,488078,425740,365478,861733
2004,563962,489367,422201,350071,881743
2003,562296,486559,420492,333168,893599
2002,551553,470530,412019,328878,890875
2001,567904,468283,416267,308786,907541
2000,556667,462277,415079,308026,891515
1999,548047,458824,418193,294901,887890
1998,555499,453524,426564,271515,915176
1997,550525,442371,404884,263303,923080
1996,575026,438303,411302,250543,951863
1995,553701,444943,398480,262860,930857
1994,562061,419903,391681,249451,932485
1993,568100,427170,391484,237253,948683
1992,581828,433867,413020,245814,957561
1991,598323,434156,423121,237179,1004735
1990,591499,434656,398769,227508,1042065
This took me way too long to figure out, but it's your data sorting. My link above assumed an ascending x axis values, you have descending, so your paths are draw backwards right to left. Either sort your data, or change the search function to go right to left:
d3.selectAll(".mouse-per-line")
.attr("transform", function(d, i) {
var beginning = 0,
end = lines[i].getTotalLength(),
target = null;
while (true) {
target = Math.floor((beginning + end) / 2);
pos = lines[i].getPointAtLength(target);
if ((target === end || target === beginning) && pos.x !== mouse[0]) {
break;
}
if (pos.x > mouse[0]) beginning = target; //<-- this was end = target
else if (pos.x < mouse[0]) end = target; //<-- this was beginning = target
else break;
}
d3.select(this).select('text')
.text(y.invert(pos.y).toFixed(2));
return "translate(" + mouse[0] + "," + pos.y + ")";
});
Fixed code here.

Set axis range based on data set minimum and maximum in d3.js

I'm trying to set the x and y axes ranges based on the maximum and minimum values for each (i.e., max and min for x and max and min for y). I know that domain controls this range, but I can't figure out how to set it dynamically based on the data. I know a bunch of this code isn't applicable to the issue, but figured I'd post it all. Here goes:
var margin = {t:30, r:20, b:20, l:40 },
w = 600 - margin.l - margin.r,
h = 500 - margin.t - margin.b,
x = d3.scale.linear().range([0, w]),
y = d3.scale.linear().range([h - 60, 0]),
//colors that will reflect geographical regions
color = d3.scale.category10();
var svg = d3.select("#chart").append("svg")
.attr("width", w + margin.l + margin.r)
.attr("height", h + margin.t + margin.b);
fig = svg.append("g").attr("transform", "translate(40, 20)");
// set axes, as well as details on their ticks
var xAxis = d3.svg.axis()
.scale(x)
.ticks(20)
.tickSubdivide(true)
.tickSize(6, 3, 0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.ticks(20)
.tickSubdivide(true)
.tickSize(6, 3, 0)
.orient("left");
var startX = d3.min(x.domain()),
endX = d3.max(x.domain()),
startY = d3.min(y.domain()),
endY = d3.max(y.domain());
var lines = [{x1: startX, x2: endX, y1: (startY + endY)/2, y2: (startY + endY)/2},
{x1: (startX + endX)/2, x2: (startX + endX)/2, y1: startY, y2: endY}]
fig.selectAll(".grid-line")
.data(lines).enter()
.append("line")
.attr("x1", function(d){ return x(d.x1); })
.attr("x2", function(d){ return x(d.x2); })
.attr("y1", function(d){ return y(d.y1); })
.attr("y2", function(d){ return y(d.y2); })
.style("stroke", "#000")
// group that will contain all of the plots
var groups = svg.append("g").attr("transform", "translate(" + margin.l + "," + margin.t + ")");
// array of the regions, used for the legend
var regions = ["Demographic", "Financial", "Content Interests", "Social Media", "Behaviors & Attributes", "Location Distribution","CPG Buying"]
d3.csv("trust-business.csv", function(data) {
// sort data alphabetically by region, so that the colors match with legend
data.sort(function(a, b) { return d3.ascending(a.region, b.region); })
console.log(data)
var x0 = Math.max(-d3.min(data, function(d) { return d.trust; }), d3.max(data, function(d) { return d.trust; }));
x.domain([0,100]);
y.domain([0,100])
// style the circles, set their locations based on data
var circles =
groups.selectAll("circle")
.data(data)
.enter().append("circle")
.attr("class", "circles")
.attr({
cx: function(d) { return x(+d.trust); },
cy: function(d) { return y(+d.business); },
r: 8,
id: function(d) { return d.country; }
})
.style("fill", function(d) { return color(d.region); });
// what to do when we mouse over a bubble
var mouseOn = function() {
var circle = d3.select(this);
// transition to increase size/opacity of bubble
circle.transition()
.duration(800).style("opacity", 1)
.attr("r", 16).ease("elastic");
// append lines to bubbles that will be used to show the precise data points.
// translate their location based on margins
svg.append("g")
.attr("class", "guide")
.append("line")
.attr("x1", circle.attr("cx"))
.attr("x2", circle.attr("cx"))
.attr("y1", +circle.attr("cy") + 26)
.attr("y2", h - margin.t - margin.b)
.attr("transform", "translate(40,20)")
.style("stroke", circle.style("fill"))
.transition().delay(200).duration(400).styleTween("opacity",
function() { return d3.interpolate(0, .5); })
svg.append("g")
.attr("class", "guide")
.append("line")
.attr("x1", +circle.attr("cx") - 16)
.attr("x2", 0)
.attr("y1", circle.attr("cy"))
.attr("y2", circle.attr("cy"))
.attr("transform", "translate(40,30)")
.style("stroke", circle.style("fill"))
.transition().delay(200).duration(400).styleTween("opacity",
function() { return d3.interpolate(0, .5); });
// function to move mouseover item to front of SVG stage, in case
// another bubble overlaps it
d3.selection.prototype.moveToFront = function() {
return this.each(function() {
this.parentNode.appendChild(this);
});
};
// skip this functionality for IE9, which doesn't like it
if (!$.browser.msie) {
circle.moveToFront();
}
};
// what happens when we leave a bubble?
var mouseOff = function() {
var circle = d3.select(this);
// go back to original size and opacity
circle.transition()
.duration(800).style("opacity", .5)
.attr("r", 8).ease("elastic");
// fade out guide lines, then remove them
d3.selectAll(".guide").transition().duration(100).styleTween("opacity",
function() { return d3.interpolate(.5, 0); })
.remove()
};
// run the mouseon/out functions
circles.on("mouseover", mouseOn);
circles.on("mouseout", mouseOff);
// tooltips (using jQuery plugin tipsy)
circles.append("title")
.text(function(d) { return d.country; })
$(".circles").tipsy({ gravity: 's', });
// the legend color guide
var legend = svg.selectAll("rect")
.data(regions)
.enter().append("rect")
.attr({
x: function(d, i) { return (40 + i*80); },
y: h,
width: 25,
height: 12
})
.style("fill", function(d) { return color(d); });
// legend labels
svg.selectAll("text")
.data(regions)
.enter().append("text")
.attr({
x: function(d, i) { return (40 + i*80); },
y: h + 24,
})
.text(function(d) { return d; });
// draw axes and axis labels
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(" + margin.l + "," + (h - 60 + margin.t) + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + margin.l + "," + margin.t + ")")
.call(yAxis);
svg.append("text")
.attr("class", "x label")
.attr("text-anchor", "end")
.attr("x", w + 50)
.attr("y", h - margin.t - 5)
.text("Total Incidence");
svg.append("text")
.attr("class", "y label")
.attr("text-anchor", "end")
.attr("x", -20)
.attr("y", 45)
.attr("dy", ".75em")
.attr("transform", "rotate(-90)")
.text("Relative Variance");
});
You can use d3.extent() to get the extent of an array and use it in a domain:
x.domain(d3.extent(data, function(d) { return +d.trust; }));
y.domain(d3.extent(data, function(d) { return +d.business; }));

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