I currently have a d3 multiseries line chart which displays how many emails and phone calls have been received.
My data retrieval and data structure is as follows:
var allCommunications = _uow.CommunicationRepository.Get()
.Where(c => c.DateOpened.Year == year)
.GroupBy(c => new { c.Method, c.DateOpened.Month })
.Select(g => new
{
Type = g.Key.Method,
xVal = g.Key.Month,
Value = g.Count()
});
This is then converted to the following structure:
public class LineChartData
{
public int xValue { get; set; }
public int EmailValue { get; set; }
public int PhoneValue { get; set; }
}
The graph is created using the following javascript:
function buildCommunicationLineChart(data, placeholder, callback, type) {
var margin = { top: 20, right: 30, bottom: 40, left: 50 },
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
emailLineColour = "#779ECB", phoneLineColour = "#FF6961", tooltipTextColour = "white";
var x;
if (type == "month") {
var x = d3.scale.linear()
.domain([1, 31])
.range([0, width]);
} else if (type == "year")
{
var x = d3.scale.linear()
.domain([1, 12])
.range([0, width]);
}
var minPhone = Math.min.apply(Math, data.map(function (o) { return o.PhoneValue }));
var maxPhone = Math.max.apply(Math, data.map(function (o) { return o.PhoneValue }));
var minEmail = Math.min.apply(Math, data.map(function (o) { return o.EmailValue }));
var maxEmail = Math.max.apply(Math, data.map(function (o) { return o.EmailValue }));
var minY = Math.min(minPhone, minEmail);
var maxY = Math.max(maxPhone, maxEmail);
var y = d3.scale.linear()
.domain([minY, maxY + 5])
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.tickSize(-height)
.tickPadding(10)
.tickSubdivide(true)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.tickPadding(10)
.tickSize(-width)
.tickSubdivide(true)
.orient("left");
if (type == "month") {
var emailTip = d3.tip()
.attr('class', 'd3-tip')
.offset([-10, 0])
.html(function (d) {
return "<strong>Emails:</strong> <span style='color:"+tooltipTextColour+"'>" + d.EmailValue + "</span><br /><strong>Day of Month:</strong><span style='color:white'>" + d.xValue + "</span>";
});
var phoneTip = d3.tip()
.attr('class', 'd3-tip')
.offset([-10, 0])
.html(function (d) {
return "<strong>Calls:</strong> <span style='color:" + tooltipTextColour + "'>" + d.PhoneValue + "</span><br /><strong>Day of Month:</strong><span style='color:white'>" + d.xValue + "</span>";
});
}
else if (type == "year") {
var emailTip = d3.tip()
.attr('class', 'd3-tip')
.offset([-10, 0])
.html(function (d) {
return "<strong>Emails:</strong> <span style='color:" + tooltipTextColour + "'>" + d.EmailValue + "</span><br /><strong>Month of Year:</strong><span style='color:white'>" + d.xValue + "</span>";
});
var phoneTip = d3.tip()
.attr('class', 'd3-tip')
.offset([-10, 0])
.html(function (d) {
return "<strong>Calls:</strong> <span style='color:" + tooltipTextColour + "'>" + d.PhoneValue + "</span><br /><strong>Month of Year:</strong><span style='color:white'>" + d.xValue + "</span>";
});
}
var svg = placeholder.append("svg")
.attr("width", width + margin.left + margin.right + 50)
.attr("height", height + margin.top + margin.bottom)
.attr("class", "chart")
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.call(emailTip);
svg.call(phoneTip);
if (type == "year") {
svg.append("g")
.attr("class", "x axis")
.append("text")
.attr("class", "axis-label")
.attr("transform", "none")
.attr("y", (-margin.left) + 530)
.attr("x", -height + 860)
.text('Month');
}
else if (type == "month") {
svg.append("g")
.attr("class", "x axis")
.append("text")
.attr("class", "axis-label")
.attr("transform", "none")
.attr("y", (-margin.left) + 525)
.attr("x", -height + 860)
.text('Day');
}
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.append("g")
.attr("class", "y axis")
.append("text")
.attr("class", "axis-label")
.attr("transform", "rotate(-90)")
.attr("y", (-margin.left) + 15)
.attr("x", -height / 2)
.text('Communications');
svg.append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var emailLine = d3.svg.line()
.interpolate("linear")
.x(function (d) { return x(d.xValue); })
.y(function (d) { return y(d.EmailValue); });
var phoneLine = d3.svg.line()
.interpolate("linear")
.x(function (d) { return x(d.xValue); })
.y(function (d) { return y(d.PhoneValue); });
svg.selectAll('.emailLine')
.data(data)
.enter()
.append("path")
.attr("class", "line")
.attr('stroke', emailLineColour)
.attr("d", emailLine(data));
svg.selectAll("circle.emailLine")
.data(data)
.enter().append("svg:circle")
.attr("class", "emailLine")
.style("fill", emailLineColour)
.attr("cx", emailLine.x())
.attr("cy", emailLine.y())
.attr("r", 5)
.on('mouseover', emailTip.show)
.on('mouseout', emailTip.hide);
svg.selectAll('.phoneLine')
.data(data)
.enter()
.append("path")
.attr("class", "line")
.attr('stroke', phoneLineColour)
.attr("d", phoneLine(data));
svg.selectAll("circle.phoneLine")
.data(data)
.enter().append("svg:circle")
.attr("class", "phoneLine")
.style("fill", phoneLineColour)
.attr("cx", phoneLine.x())
.attr("cy", phoneLine.y())
.attr("r", 5)
.on('mouseover', phoneTip.show)
.on('mouseout', phoneTip.hide);
svg.append("text")
.attr("transform", "translate(" + (x(data[data.length - 1].xValue) + 5) + "," + y(data[data.length - 1].EmailValue) + ")")
.attr("dy", ".35em")
.style("fill", emailLineColour)
.text("Email");
svg.append("text")
.attr("transform", "translate(" + (x(data[data.length - 1].xValue) + 5) + "," + y(data[data.length - 1].PhoneValue) + ")")
.attr("dy", ".35em")
.style("fill", phoneLineColour)
.text("Phone");
if (callback) {
callback();
}
}
Obviously this is very long and very limited due to each series for the chart being hardcoded. Therefore, it would be quite a bit of work if another method of communication is added. My idea behind resolving this is to have a dynamic number of series and create a line for each series. Therefore i guess my data structure would have to be something like:
public class LineChartData
{
public string Type {get;set;} //for the label
public Data Data{get;set;}
}
public class Data
{
public int xValue { get; set; }
public int Value { get; set; }
}
Or something similar?
So i guess my question is, would this be the correct approach to structuring my data, any suggestions to change my query to do this, and how would i edit my javascript in order to account for this.
Apologies for the long winded question and thanks in advance for any help.
If any more info is required, please ask and i will provide anything i can.
Thanks,
EDIT:
Here is my updated code after attempting the suggestion by Mark below:
function buildCommunicationLineChart(data, placeholder, callback, type) {
var margin = { top: 20, right: 30, bottom: 40, left: 50 },
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
emailLineColour = "#779ECB", phoneLineColour = "#FF6961", tooltipTextColour = "white";
var color = d3.scale.category10();
var nest = d3.nest()
.key(function (d) { return d.Type; })
.entries(data);
var x;
if (type == "month") {
var x = d3.scale.linear()
.domain([1, 31])
.range([0, width]);
} else if (type == "year")
{
var x = d3.scale.linear()
.domain([1, 12])
.range([0, width]);
}
var y = d3.scale.linear()
.domain([0, 100])
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.tickSize(-height)
.tickPadding(10)
.tickSubdivide(true)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.tickPadding(10)
.tickSize(-width)
.tickSubdivide(true)
.orient("left");
var line = d3.svg.line()
.interpolate("linear")
.x(function (d) { return x(d.xValue); })
.y(function (d) { return y(d.Value); });
var svg = placeholder.append("svg")
.attr("width", width + margin.left + margin.right + 50)
.attr("height", height + margin.top + margin.bottom)
.attr("class", "chart")
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
if (type == "year") {
svg.append("g")
.attr("class", "x axis")
.append("text")
.attr("class", "axis-label")
.attr("transform", "none")
.attr("y", (-margin.left) + 530)
.attr("x", -height + 860)
.text('Month');
}
else if (type == "month") {
svg.append("g")
.attr("class", "x axis")
.append("text")
.attr("class", "axis-label")
.attr("transform", "none")
.attr("y", (-margin.left) + 525)
.attr("x", -height + 860)
.text('Day');
}
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.append("g")
.attr("class", "y axis")
.append("text")
.attr("class", "axis-label")
.attr("transform", "rotate(-90)")
.attr("y", (-margin.left) + 15)
.attr("x", -height / 2)
.text('Communications');
svg.append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
color.domain(d3.keys(nest[0]).filter(function (key) { return key === nest[0].key; }));
var methods = color.domain().map(function (commType) {
return {
commType: commType,
values: nest.map(function (d) {
return { xValue: d.xVal, Value: d.Value };
})
};
});
x.domain(d3.extent(nest, function (d) { return d.xVal; }));
y.domain([
d3.min(methods, function (m) { return d3.min(m.values, function (v) { return v.Value; }); }),
d3.max(methods, function (m) { return d3.max(m.values, function (v) { return v.Value; }); })
]);
var method = svg.selectAll('.method')
.data(methods)
.enter().append('g')
.attr('class', 'method');
method.append('path')
.attr('class', 'line')
.attr('d', function (d) { return line(d.values); })
.attr('stroke', function (d) { return color(d.commType); });
method.append('text')
.datum(function (d) { return { commType: d.commType, value: d.values[d.values.length - 1] }; })
.attr("transform", function (d) { return "translate(" + x(d.value.xVal) + "," + y(d.value.Value) + ")"; })
.attr('x', 3)
.attr('dy', '.35em')
.text(function (d) { return d.commType; });
if (callback) {
callback();
}
}
Your question might be a little too broad for StackOverflow, but I'll try to help. The way I always approach the question of how should my API output data, is to ask how is my data going to be consumed on the front-end? In this case, you are trying to create a d3 multi-line chart and d3 will want an array of objects containing an array of data points (here's a great example). Something like this in JSON:
[
{
key: 'Email', //<-- identifies the line
values: [ //<-- points for the line
{
xVal: '20160101',
Value: 10
}, {
xVal: '20160102',
Value: 20
}, ...
]
}, {
key: 'Phone',
values: [
{
xVal: 'Jan',
Value: 30
}, {
xVal: '20160102',
Value: 25
}, ...
]
},
...
]
Now the question becomes how to get your data into a structure like that. Given many hours, you could probably write a linq statement that'll do but, I kinda like returning a flat JSON object (after all if we are writing a re-useable restful interface, flat is the most useful). So, how then would we make that final jump for our easy to use d3 structure. Given your:
.Select(g => new
{
Type = g.Key.Method,
xVal = g.Key.Month,
Value = g.Count()
});
would produce a JSON object like:
[{"Type":"Phone","xVal":"Feb","Value":1},{"Type":"Email","xVal":"Jan","Value":3},{"Type":"Phone","xVal":"Jan","Value":1}]
d3 could then get to our "easy to work with" format as easy as:
var nest = d3.nest()
.key(function(d) { return d.Type; })
.entries(data);
Which produces:
[
{
"key":"Phone",
"values":[
{
"Type":"Phone",
"xVal":"Feb",
"Value":1
},
{
"Type":"Phone",
"xVal":"Jan",
"Value":1
}
]
},
{
"key":"Email",
"values":[
{
"Type":"Email",
"xVal":"Jan",
"Value":3
}
]
}
]
From this structure, your multi-line chart becomes a breeze....
EDITS FOR COMMENTS
I really didn't understand what you were attempting to do with some of your code (in particular with your methods variable - the data was already in a great format for d3). So I refactored a bit:
<!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>
// function buildCommunicationLineChart(data, placeholder, callback, type) {
var margin = {
top: 20,
right: 30,
bottom: 40,
left: 50
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var colors = {
"Phone": "#FF6961",
"Email": "#779ECB"
}
var color = d3.scale.category10();
var data = [{
"Type": "Phone",
"xValue": 1,
"Value": 5
}, {
"Type": "Email",
"xValue": 1,
"Value": 7
}, {
"Type": "Email",
"xValue": 2,
"Value": 1
}, {
"Type": "Phone",
"xValue": 2,
"Value": 4
}, {
"Type": "Phone",
"xValue": 4,
"Value": 2
}];
var nest = d3.nest()
.key(function(d) {
return d.Type;
})
.entries(data);
var x;
var type = "month";
if (type == "month") {
var x = d3.scale.linear()
.domain([1, 31])
.range([0, width]);
} else if (type == "year") {
var x = d3.scale.linear()
.domain([1, 12])
.range([0, width]);
}
var y = d3.scale.linear()
.domain([0, 100])
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.tickSize(-height)
.tickPadding(10)
.tickSubdivide(true)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.tickPadding(10)
.tickSize(-width)
.tickSubdivide(true)
.orient("left");
var line = d3.svg.line()
.interpolate("linear")
.x(function(d) {
return x(d.xValue);
})
.y(function(d) {
return y(d.Value);
});
var svg = d3.select('body').append("svg")
.attr("width", width + margin.left + margin.right + 50)
.attr("height", height + margin.top + margin.bottom)
.attr("class", "chart")
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
y.domain([
0,
d3.max(nest, function(t) { return d3.max(t.values, function(v) { return v.Value; }); })
]);
x.domain([
d3.min(nest, function(t) { return d3.min(t.values, function(v) { return v.xValue; }); }),
d3.max(nest, function(t) { return d3.max(t.values, function(v) { return v.xValue; }); })
]);
nest.forEach(function(d){
for (var i = x.domain()[0]; i <= x.domain()[1]; i++){
if (!d.values.some(function(v){ return (v.xValue === i) })){
d.values.splice((i - 1), 0, {xValue: i, Value: 0});
}
}
});
var xAxis = svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
if (type == "year") {
xAxis
.append("text")
.attr("class", "axis-label")
.attr("transform", "none")
.attr("y", margin.top + 15)
.attr("x", width / 2)
.text('Month');
} else if (type == "month") {
xAxis
.append("text")
.attr("class", "axis-label")
.attr("y", margin.top + 15)
.attr("x", width / 2)
.text('Day')
.style('text-anchor', 'middle');
}
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("class", "axis-label")
.attr("transform", "rotate(-90)")
.attr("y", (-margin.left) + 15)
.attr("x", -height / 2)
.text('Communications')
.style('text-anchor', 'middle');
svg.append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
/*
color.domain(d3.keys(nest[0]).filter(function(key) {
return key === nest[0].key;
}));
var methods = color.domain().map(function(commType) {
return {
commType: commType,
values: nest.map(function(d) {
return {
xValue: d.xVal,
Value: d.Value
};
})
};
});
*/
var method = svg.selectAll('.method')
.data(nest)
.enter().append('g')
.attr('class', 'method');
method.append('path')
.attr('class', 'line')
.attr('d', function(d) {
return line(d.values);
})
.style('stroke', function(d) {
return color(d.key);
// OR if you want to use you defined ones
//return colors[d.key];
});
method.append('text')
.attr("transform", function(d) {
var len = d.values.length - 1;
return "translate(" + x(d.values[len].xValue) + "," + y(d.values[len].Value) + ")";
})
.attr('x', 3)
.attr('dy', '.35em')
.text(function(d) {
return d.key;
});
//if (callback) {
// callback();
//}
// }
</script>
</body>
</html>
EDIT FOR COMMENTS 2
That's actually a tricky question. How about:
// for each dataset
nest.forEach(function(d){
// loop our domain
for (var i = x.domain()[0]; i <= x.domain()[1]; i++){
// if there's no xValue at that location
if (!d.values.some(function(v){ return (v.xValue === i) })){
// add a zero in place
d.values.splice((i - 1), 0, {xValue: i, Value: 0});
}
}
});
Code sample above is edited also.
Related
I am trying to group bar chart and line chart in d3 js and I followed one Link for that purpose,
Here is what my Ajax is returning in response:
[
{
"date_created": "2017-12-27",
"jobs_fail": 19,
"jobs_resub": 31,
"jobs_success": 50
},
{
"date_created": "2017-12-29",
"jobs_fail": 18,
"jobs_resub": 25,
"jobs_success": 44
},
{
"date_created": "2017-12-28",
"jobs_fail": 8,
"jobs_resub": 24,
"jobs_success": 44
},
{
"date_created": "2018-01-02",
"jobs_fail": 2,
"jobs_resub": 0,
"jobs_success": 0
}
]
And what I am trying to show is displaying the jobs_fail and jobs_resub as a bar and jobs_sucess as line chart in same graphs with respect to date_created,
Here is my code for that purpose.
<script>
function get_data() {
console.log("create post is working!") // sanity check
return $.ajax({
url : "/group/guest/query/", // the endpoint
type : "GET", // http method
});
};
var margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var colorRange = d3.scale.category20();
var color = d3.scale.ordinal()
.range(colorRange.range());
var divTooltip = d3.select("body").append("div").attr("class", "toolTip");
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(10, "");
var svg = d3.select("#chart").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 ajdata = get_data();
var k = [];
ajdata.success(function (data) {
var obj = jQuery.parseJSON(data);
alert(data);
var options = d3.keys(obj[0]).filter(function(key) { if (key != "date_created" & key != "jobs_success" ) { return key }}); // & key != "date_created"){return key} });
var line_option = d3.keys(obj[0]).filter(function(key) { if (key == "jobs_success" & key == "date_created"){return key} });
alert(options);
obj.forEach(function(d) {
d.valores = options.map(function(name) {return { name: name, value: +d[name]}; });});
x0.domain(obj.map(function(d) { return d.date_created; }));
x1.domain(options).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(obj, function(d) { return d3.max(d.valores, function(d) { return d.value; }); })]);
var line = d3.svg.line()
.x(function(d) { return x1(d.date_created); })
.y(function(d) { return y(d.jobs_success); });
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("Number of jobs");
var bar = svg.selectAll(".bar")
.data(obj)
.enter().append("g")
.attr("class", "rect")
.attr("transform", function(d) { return "translate(" + x0(d.date_created) + ",0)"; });
bar.selectAll("rect")
.data(function(d) { return d.valores; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("value", function(d){return d.name;})
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
bar
.on("mousemove", function(d){
divTooltip.style("left", d3.event.pageX+10+"px");
divTooltip.style("top", d3.event.pageY-25+"px");
divTooltip.style("display", "inline-block");
var x = d3.event.pageX, y = d3.event.pageY
var elements = document.querySelectorAll(':hover');
l = elements.length
l = l-1
elementData = elements[l].__data__
divTooltip.html((d.date_created)+"<br>"+elementData.name+"<br>"+elementData.value);
});
bar
.on("mouseout", function(d){
divTooltip.style("display", "none");
});
var legend = svg.selectAll(".legend")
.data(options.slice())
.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; });
svg.append("path")
//.data(obj)
.attr("class", "line")
.attr("d", line(obj));
UPDATE
What problem I am facing is I am able to render bar but not the line chart on bars.
I am trying to debug but not able to do so.
Please let me know what might I am doing wrong here.
You have some minor problems and a big problem.
The minor problems are:
Your y scale should take into account the maximum value in your dataset:
y.domain([0, d3.max(obj, function(d) {
return d.jobs_success
})]);
Your line generator should use x0. Besides that, you'll have to move the line by half rangeBand:
.x(function(d) {
return x0(d.date_created) + x0.rangeBand() / 2;
})
By default, a <path> has a black fill. Change it:
.style("fill", "none")
Those, however, are minor problems. The biggest problem lies here, in the data() method:
svg.append("path")
.data(obj)
.attr("class", "line")
.attr("d", line);
Let's see in detail what's happening here. You're passing the obj array to the data(). However, if you do this, each element of that array will be passed, individually, to the line generator.
So, supposing that this is your array...
["foo", "bar", "baz"]
...what you're passing to the line generator is just:
"foo".
You have some different solutions here. First, you can pass the array to the line generator directly, as you did in your edit. Second, you can wrap the array in an outer array:
svg.append("path")
.data([obj])
.attr("class", "line")
.attr("d", line);
That way, the whole obj array will be passed to the line generator.
Or, third, you can use datum:
svg.append("path")
.datum(obj)
.attr("class", "line")
.attr("d", line);
Here is your code with those changes and using datum to draw the path:
var obj = [{
"date_created": "2017-12-27",
"jobs_fail": 19,
"jobs_resub": 31,
"jobs_success": 50
}, {
"date_created": "2017-12-29",
"jobs_fail": 18,
"jobs_resub": 25,
"jobs_success": 44
}, {
"date_created": "2017-12-28",
"jobs_fail": 8,
"jobs_resub": 24,
"jobs_success": 44
}, {
"date_created": "2018-01-02",
"jobs_fail": 2,
"jobs_resub": 0,
"jobs_success": 0
}];
var margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var colorRange = d3.scale.category20();
var color = d3.scale.ordinal()
.range(colorRange.range());
var divTooltip = d3.select("body").append("div").attr("class", "toolTip");
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(10, "");
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 options = d3.keys(obj[0]).filter(function(key) {
if (key != "date_created" & key != "jobs_success") {
return key
}
}); // & key != "date_created"){return key} });
var line_option = d3.keys(obj[0]).filter(function(key) {
if (key == "jobs_success" & key == "date_created") {
return key
}
});
obj.forEach(function(d) {
d.valores = options.map(function(name) {
return {
name: name,
value: +d[name]
};
});
});
x0.domain(obj.map(function(d) {
return d.date_created;
}));
x1.domain(options).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(obj, function(d) {
return d.jobs_success
})]);
var line = d3.svg.line()
.x(function(d) {
return x0(d.date_created) + x0.rangeBand() / 2;
})
.y(function(d) {
return y(d.jobs_success);
});
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("Number of jobs");
var bar = svg.selectAll(".bar")
.data(obj)
.enter().append("g")
.attr("class", "rect")
.attr("transform", function(d) {
return "translate(" + x0(d.date_created) + ",0)";
});
bar.selectAll("rect")
.data(function(d) {
return d.valores;
})
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) {
return x1(d.name);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("value", function(d) {
return d.name;
})
.attr("height", function(d) {
return height - y(d.value);
})
.style("fill", function(d) {
return color(d.name);
});
bar
.on("mousemove", function(d) {
divTooltip.style("left", d3.event.pageX + 10 + "px");
divTooltip.style("top", d3.event.pageY - 25 + "px");
divTooltip.style("display", "inline-block");
var x = d3.event.pageX,
y = d3.event.pageY
var elements = document.querySelectorAll(':hover');
l = elements.length
l = l - 1
elementData = elements[l].__data__
divTooltip.html((d.date_created) + "<br>" + elementData.name + "<br>" + elementData.value);
});
bar
.on("mouseout", function(d) {
divTooltip.style("display", "none");
});
var legend = svg.selectAll(".legend")
.data(options.slice())
.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;
});
svg.append("path")
.datum(obj)
.attr("class", "line")
.attr("d", line)
.style("fill", "none")
.style("stroke", "red")
.style("stroke-width", 2);
.axis line,
.axis path {
fill: none;
stroke: black;
shape-rendering: crispEdges;
}
<script src="https://d3js.org/d3.v3.min.js"></script>
Ok a couple of things. Your line's x function should be relying on x0 not x1:
var line = d3.svg.line()
.x(function(d) { return x0(d.date_created); })
.y(function(d) { return y(d.jobs_success); });
And your path needs to be called like this:
svg.append("path")
.attr("class", "line")
.attr("d", line(obj));
That should get you most of the way there - you might want to tweak the maximum y-value, and shift the x co-ordinate of the line by x0.rangeBand()/2 as well to make it line up properly with the centre of the bars.
The graphic below is the current output of my program, which is basically working. The problem is, it draws the graph from left to right, plotting the JSON data it receives, but then goes off the edge of the screen (or into the bit bucket), when what I want is for the graph to scroll to the left as the JSON data is consumed. You can see the data is cutoff past the "9" label.
I'm not sure where to begin making that happen and would appreciate some advice.
Current output:
function createLineChart(data, number) {
var xy_chart = d3_xy_chart()
.width(960)
.height(500)
.xlabel("TCS")
.ylabel("STATUS");
var svg = d3.select(".lineChart" + number).append("svg")
.datum(data)
.call(xy_chart);
function d3_xy_chart() {
var width = 640,
height = 480,
xlabel = "X Axis Label",
ylabel = "Y Axis Label";
function chart(selection, svg) {
selection.each(function (datasets) {
//
// Create the plot.
var margin = {top: 20, right: 80, bottom: 30, left: 50},
innerwidth = width - margin.left - margin.right,
innerheight = height - margin.top - margin.bottom;
var x_scale = d3.scale.linear()
.range([0, innerwidth])
.domain([d3.min(datasets, function (d) {
return d3.min(d.x);
}),
d3.max(datasets, function (d) {
return d3.max(d.x);
})]);
// Set y scale
var y_scale = d3.scale.linear()
.range([innerheight, 0])
.domain([d3.min(datasets, function (d) {
return d3.min(d.y);
}),
d3.max(datasets, function (d) {
return d3.max(d.y);
})]);
var color_scale = d3.scale.category10()
.domain(d3.range(datasets.length));
var x_axis = d3.svg.axis()
.scale(x_scale)
.orient("bottom")
.tickFormat(function (d, i) {
// Remove remove decimal points and set values again to the x axis
if (d % 1 == 0) {
return parseInt(d)
} else {
return " "
}
});
var y_axis = d3.svg.axis()
.scale(y_scale)
.orient("left")
.tickFormat(function (d, i) {
if (d == "1") {
return "NOT EXECUTED"
} else if (d == "2") {
return "FAILED"
} else if (d == "3") {
return "PASSED"
} else {
return " "
}
});
var x_grid = d3.svg.axis()
.scale(x_scale)
.orient("bottom")
.tickSize(-innerheight)
.tickFormat("");
var y_grid = d3.svg.axis()
.scale(y_scale)
.orient("left")
.tickSize(-innerwidth)
.tickFormat("");
// Draw the line
var draw_line = d3.svg.line()
.interpolate("linear")
.x(function (d) {
return x_scale(d[0]);
})
.y(function (d) {
return y_scale(d[1]);
});
var svg = d3.select(this)
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// Append g as x grid to svg
svg.append("g")
.attr("class", "x grid")
.attr("transform", "translate(0," + innerheight + ")")
.call(x_grid);
svg.append("g")
.attr("class", "y grid")
.call(y_grid);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + innerheight + ")")
.call(x_axis)
.append("text")
.attr("dy", "-.71em")
.attr("x", innerwidth)
.style("text-anchor", "end")
.text(xlabel);
// Append g as x axis to svg
svg.append("g")
.attr("class", "y axis")
.call(y_axis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.style("text-anchor", "end")
.text(ylabel);
var data_lines = svg.selectAll(".d3_xy_chart_line")
.data(datasets.map(function (d) {
return d3.zip(d.x, d.y);
}))
.enter().append("g")
.attr("class", "d3_xy_chart_line");
data_lines.append("path")
.attr("class", "line")
.attr("d", function (d) {
return draw_line(d);
})
.attr("stroke", function (_, i) {
return color_scale(i);
});
// Set label texts
data_lines.append("text")
.datum(function (d, i) {
return {name: datasets[i].label, final: d[d.length - 1]};
})
.attr("transform", function (d) {
return ( "translate(" + x_scale(d.final[0]) + "," +
y_scale(d.final[1]) + ")" );
})
.attr("x", 3)
.attr("dy", ".35em")
.attr("fill", function (_, i) {
return color_scale(i);
})
.text(function (d) {
return d.name;
});
});
}
chart.width = function (value) {
if (!arguments.length) return width;
width = value;
return chart;
};
chart.height = function (value) {
if (!arguments.length) return height;
height = value;
return chart;
};
chart.xlabel = function (value) {
if (!arguments.length) return xlabel;
xlabel = value;
return chart;
};
chart.ylabel = function (value) {
if (!arguments.length) return ylabel;
ylabel = value;
return chart;
};
return chart;
}
}
I have a real simple horizontally stacked bar chart with 3 bars that are all on the same scale (i.e. each 0 to 100 with the stacked bars consisting of numbers that make up 100).
When trying to update my data nothing appears to happen. I've not been able to figure out how to update the data and it's been driving me crazy.
Relevant Code:
<body>
<div id='updateTest'>
Update Data
</div>
<div id='chart'></div>
<script>
$( document ).ready(function() {
$( "#updateTest" ).click(function() {
updateData();
console.log(allData[count]);
});
});
var institution;
// Set up the SVG data
var allData = ["data.csv","data2.csv","data3.csv"];
var count = 0;
var margin = {top: 20, right: 20, bottom: 145, left: 115},
width = 960 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var y = d3.scale.ordinal()
.rangeRoundBands([height, 0], .1);
var x = d3.scale.linear()
.rangeRound([0, width]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888"]);
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickFormat(d3.format(".2s"));
var svg = d3.select("#chart").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 + ")");
// Bind initial shown data to the SVG
d3.csv(allData[count], function(error, data) {
if (error) throw error;
color.domain(d3.keys(data[0]).filter(function(key) {
return key !== "Institution";
}));
data.forEach(function(d) {
var y0 = 0;
d.ages = color.domain().map(function(name) {
return {name: name, y0: y0, y1: y0 += +d[name]};
});
d.total = d.ages[d.ages.length - 1].y1;
});
data.sort(function(a, b) { return b.total - a.total; });
y.domain(data.map(function(d) { return d.Institution; }));
x.domain([0, d3.max(data, function(d) { return d.total; })]);
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("x", -32)
.attr("y", -112)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Institution");
institution = svg.selectAll(".institution")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) {
return "translate(0," + y(d.Institution) + ")"; });
institution.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("height", y.rangeBand())
.attr("x", function(d) { return x(d.y0); })
.attr("width", function(d) { return x(d.y1) - x(d.y0); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(color.domain().slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) {
return "translate(0," + i * 28 + ")"; });
legend.append("rect")
.attr("x", -20)
.attr("y", 190)
.attr("width", 25)
.attr("height", 25)
.style("fill", color);
legend.append("text")
.attr("x", 10)
.attr("y", 203)
.attr("dy", ".35em")
.style("text-anchor", "left")
.text(function(d) { return d; });
});
/* updateData()
* Rebinds the SVG to a new dataset
*/
function updateData() {
// Iterate through the data
var newData;
if (count === allData.length - 1)
count = 0;
else
count++;
newData = allData[count];
// Get the data again
d3.csv(allData[count], function(error, data) {
data.forEach(function(d) {
d.close = +d.close;
});
// Make the changes
institution.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("height", y.rangeBand())
.attr("x", function(d) { return x(d.y0); })
.attr("width", function(d) { return x(d.y1) - x(d.y0); })
.style("fill", function(d) { return color(d.name); });
});
}
</script>
</body>
My CSV files:
data.csv
Institution,CurrentlyOweBehind,CurrentlyOweNotBehind,Paid
For-profit,15,35,50
Nonprofit,11,48,41
Public,26,16,58
data2.csv
Institution,CurrentlyOweBehind,CurrentlyOweNotBehind,Paid
For-profit,23,33,44
Nonprofit,28,12,60
Public,12,8,80
data3.csv
Institution,CurrentlyOweBehind,CurrentlyOweNotBehind,Paid
For-profit,61,22,17
Nonprofit,7,43,50
Public,41,19,40
The main bit is in the updateData() function. I am able to create the chart and display data but I do not understand transitioning the data...
I'm getting no errors in the console and it's properly cycling the data.
The problems is with d.ages in the update function. You basically need the same setup that you have for the initial plot. So I added the following in the d3.csv block of your update function:
data.forEach(function(d) {
var y0 = 0;
d.ages = color.domain().map(function(name) {
return {name: name, y0: y0, y1: y0 += +d[name]};
});
d.total = d.ages[d.ages.length - 1].y1;
});
institution = svg.selectAll(".institution")
.data(data);
The class name for institution was set to g for some reason, and I changed that to institution. Also, you do not need .enter().append("rect") at this point. Finally I added a transition and duration.
I have created a plunk, with all your csv files included: http://plnkr.co/edit/CYFNWZKuiLo9gFps49e9?p=preview
Hope this helps.
i am creating a stacked bar chart using d3. The graph axis ares getting rendered but not the bar chart and JS console is also not throwing any errors.
Here is the code:
var margin = {
top: 20,
right: 30,
bottom: 30,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var data = [{
data: [
["2016-01-20T10:36:00.000Z", 95.6981132075472],
["2016-01-20T11:10:00.000Z", 95.8882352941176],
["2016-01-20T11:44:00.000Z", 95.8470588235294],
["2016-01-20T12:18:00.000Z", 95.7941176470588],
["2016-01-20T12:52:00.000Z", 95.675],
["2016-01-20T13:26:00.000Z", 95.7573529411765],
["2016-01-20T14:00:00.000Z", 95.8294117647059],
["2016-01-20T14:34:00.000Z", 95.7736842105263]
],
label: "a"
}, {
data: [
["2016-01-20T10:36:00.000Z", 3.18867924528302],
["2016-01-20T11:10:00.000Z", 3.15441176470588],
["2016-01-20T11:44:00.000Z", 3.15],
["2016-01-20T12:18:00.000Z", 3.16323529411765],
["2016-01-20T12:52:00.000Z", 3.13970588235294],
["2016-01-20T13:26:00.000Z", 3.17794117647059],
["2016-01-20T14:00:00.000Z", 3.16617647058824],
["2016-01-20T14:34:00.000Z", 3.18888888888889]
],
label: "b"
}];
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 x = d3.scale.ordinal()
.rangeRoundBands([0, width]);
var y = d3.scale.linear()
.rangeRound([height, 0]);
var z = d3.scale.category10();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var stack = d3.layout.stack()
.values(function(d) {
return d.data;
})
.x(function(d) {
return new Date(d[0]);
})
.y(function(d) {
return d[1];
});
var layers = stack(data);
var ary = [];
layers.forEach(function(d) {
ary.push(d.data);
});
x.domain(d3.extent(d3.merge(ary), function(d) {
return new Date(d[0]);
}));
y.domain([0, d3.max(d3.merge(ary), function(d) {
return d.y0 + d.y;
})]);
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) {
return z(i);
});
layer.selectAll("rect")
.data(function(d) {
return d;
})
.enter().append("rect")
.attr("x", function(d) {
return x(d.x);
})
.attr("y", function(d) {
return y(d.y + d.y0);
})
.attr("height", function(d) {
return y(d.y0) - y(d.y + d.y0);
})
.attr("width", x.rangeBand() - 1);
svg.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "axis y")
.call(yAxis);
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
Please let me know what i am doing wrong in the above posted code and help me fix this code.
I have fixed the issues with my axis in the above code. And able to display the stack bar due to the error pointed by #adilapapaya.
var margin = {
top: 20,
right: 30,
bottom: 30,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var data = [{
data: [
["2016-01-20T10:36:00.000Z", 95.6981132075472],
["2016-01-20T11:10:00.000Z", 95.8882352941176],
["2016-01-20T11:44:00.000Z", 95.8470588235294],
["2016-01-20T12:18:00.000Z", 95.7941176470588],
["2016-01-20T12:52:00.000Z", 95.675],
["2016-01-20T13:26:00.000Z", 95.7573529411765],
["2016-01-20T14:00:00.000Z", 95.8294117647059],
["2016-01-20T14:34:00.000Z", 95.7736842105263]
],
label: "a"
}, {
data: [
["2016-01-20T10:36:00.000Z", 3.18867924528302],
["2016-01-20T11:10:00.000Z", 3.15441176470588],
["2016-01-20T11:44:00.000Z", 3.15],
["2016-01-20T12:18:00.000Z", 3.16323529411765],
["2016-01-20T12:52:00.000Z", 3.13970588235294],
["2016-01-20T13:26:00.000Z", 3.17794117647059],
["2016-01-20T14:00:00.000Z", 3.16617647058824],
["2016-01-20T14:34:00.000Z", 3.18888888888889]
],
label: "b"
}];
var parseDate = d3.time.format("%Y-%m-%dT%H:%M:%S.%LZ").parse;
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 x = d3.scale.ordinal()
.rangeRoundBands([0, width], 0.7);
var y = d3.scale.linear()
.range([height, 0]);
var z = d3.scale.category10();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom").ticks(d3.time.hour, 1)
.tickSize(0).innerTickSize(-height).outerTickSize(0).tickFormat(d3.time.format("%H:%M"));
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var stack = d3.layout.stack()
.values(function(d) {
return d.data;
})
.x(function(d) {
return parseDate(d[0]);
})
.y(function(d) {
return d[1];
});
var layers = stack(data);
var ary = [];
layers.forEach(function(d) {
ary.push(d.data);
});
console.log("d = ", ary)
x.domain(ary[0].map(function(d) {
return parseDate(d[0]);
}));
y.domain([0, d3.max(d3.merge(ary), function(d) {
return d.y0 + d.y;
})]);
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) {
return z(i);
});
layer.selectAll("rect")
.data(function(d) {
return d.data;
})
.enter().append("rect")
.attr("x", function(d) {
return x(parseDate(d[0]));
})
.attr("y", function(d) {
return y(d.y + d.y0);
})
.attr("height", function(d) {
return y(d.y0) - y(d.y + d.y0);
})
.attr("width", x.rangeBand() - 1);
svg.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "axis y")
.call(yAxis);
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
The issue is in this section:
layer.selectAll("rect")
.data(function(d) {
return d;
})
.attr("x", function(d) {
console.log("d = ", d) // this doesn't get called since there is no data
return x(d.x);
})
d is an object but d3 wants an array so it's not storing the data you pass it.
I think this is what you want (though the output graph looks way off so I'm not 100% sure...). Either way, just remember that you want to return an array in the data function.
layer.selectAll("rect")
.data(function(d) {
return d.data;
})
I'm trying to add a zoom ability to a historical line chart I've built using a custom data object. I've been using http://codepen.io/brantwills/pen/igsoc/ as a template. The chart is rendered but when I try zooming there are two errors:
Error: Invalid value for path attribute d=""
Uncaught TypeError: undefined is not a function (in the last transform, translate of the last part of the zoomed function)
JSFiddle: http://jsfiddle.net/dshamis317/sFp6Q/
This is what my code looks like:
function renderHistoricalData(data) {
var parseDate = d3.time.format("%Y%m%d").parse;
data.forEach(function(d) { d.date = parseDate(d.date); });
// data.sort(function(a,b) { return a.date - b.date; });
var margin = {top: 20, right: 80, bottom: 30, left: 50},
width = 1200 - margin.left - margin.right,
height = 450 - margin.top - margin.bottom;
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 zoom = d3.behavior.zoom()
.x(x)
.y(y)
.scaleExtent([1, 10])
.on("zoom", zoomed);
var line = d3.svg.line()
.interpolate("basis")
// .defined(function(d) { return d.y!=0; })
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.sentiment); });
var svg = d3.select("#historical_chart").append("svg")
.call(zoom)
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "date"; }));
var sites = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {date: d.date, sentiment: +d[name]};
})
};
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([
d3.min(sites, function(c) { return d3.min(c.values, function(v) { return v.sentiment; }); }),
d3.max(sites, function(c) { return d3.max(c.values, function(v) { return v.sentiment; }); })
]);
var site = svg.selectAll(".site")
.data(sites)
.enter().append("g")
.attr("class", "site");
site.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.style("stroke", function(d) { return color(d.name); });
site.append("text")
.attr("transform", function(d) {
var val = d.values[d.values.length-1];
return "translate(" + x(val.date) + "," + y(val.sentiment) + ")";
})
.attr("x", 3)
.attr("dy", ".35em")
.style("text-anchor", "start")
.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("Sentiment (%)");
function zoomed() {
svg.select(".x.axis").call(xAxis);
svg.select(".y.axis").call(yAxis);
svg.selectAll('path.line').attr('d', line);
sites.selectAll('.site').attr("transform", function(d) {
return "translate(" + x(d.date) + "," + y(d.sentiment) + ")"; }
);
}
}
Thank you!
Alright, let's walk through each thing.
To start with, in zoomed, the last transform doesn't need to be there. In the original, it's there to move the circles, which you don't have.
Also important, your edit on path.line sets d to the wrong function. If you look at what you're setting d to when you first make it, it should be the same, as a general rule of thumb, so it should be function(d) { return line(d.values); }, not just line.
Now, for the actual reason it's disappearing.
Your scale extent is calculated based off the original domain. However, you don't set the domain until AFTER you call scaleExtent, which means your scaling is all based on the default. It's not actually disappearing, it's being compressed to the left hand side of the graph. If you remove your x axis, you'll see the colored smear of all your data flattened against the side.
Move all your domain calculations to above where you build your scale, and it'll be fine.
To make things a bit more concrete:
function renderHistoricalData(data) {
var parseDate = d3.time.format("%Y%m%d").parse;
data.forEach(function(d) { d.date = parseDate(d.date); });
// data.sort(function(a,b) { return a.date - b.date; });
var margin = {top: 20, right: 80, bottom: 30, left: 50},
width = 1200 - margin.left - margin.right,
height = 450 - margin.top - margin.bottom;
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");
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "date"; }));
var sites = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {date: d.date, sentiment: +d[name]};
})
};
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([
d3.min(sites, function(c) { return d3.min(c.values, function(v) { return v.sentiment; }); }),
d3.max(sites, function(c) { return d3.max(c.values, function(v) { return v.sentiment; }); })
]);
var zoom = d3.behavior.zoom()
.x(x)
.y(y)
.scaleExtent([1, 10])
.on("zoom", zoomed);
var line = d3.svg.line()
.interpolate("basis")
// .defined(function(d) { return d.y!=0; })
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.sentiment); });
var svg = d3.select("#historical_chart").append("svg")
.call(zoom)
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var site = svg.selectAll(".site")
.data(sites)
.enter().append("g")
.attr("class", "site");
site.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.style("stroke", function(d) { return color(d.name); });
site.append("text")
.attr("transform", function(d) {
var val = d.values[d.values.length-1];
return "translate(" + x(val.date) + "," + y(val.sentiment) + ")";
})
.attr("x", 3)
.attr("dy", ".35em")
.style("text-anchor", "start")
.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("Sentiment (%)");
function zoomed() {
svg.select(".x.axis").call(xAxis);
svg.select(".y.axis").call(yAxis);
svg.selectAll('path.line').attr('d', function(d) { return line(d.values); });
}
}
If you want to text to move, you can give it an easily identifiable class, and then update it in zoomed.
Giving it a class:
site.append("text")
.attr("class", "lineLabel")
Updating it in zoomed:
svg.selectAll(".lineLabel")
.attr("transform", function(d) {
var val = d.values[d.values.length-1];
return "translate(" + x(val.date) + "," + y(val.sentiment) + ")";
});
This will just make it follow the ends of the lines, but you can modify whatever attributes you like to get the wanted effects.