I'm trying to build a linechart based off of the example at http://bl.ocks.org/mbostock/3884955. I'm not using temperatures but rather value levels from 0-1 that I call sentiments.
I'm not using a tsv file either, but rather rendering JSON in real time through an AJAX call where my data object is an array with objects in it:
[{date: '20140716', ESPN.com: 0.4, SI.com: 0.5})]
There are typically multiple dates in an array and at least 6-7 websites (they're included in every object).
The code looks like this:
function renderHistoricalData(array) {
var data = array;
var margin = {top: 20, right: 80, bottom: 30, left: 50},
width = 1200 - margin.left - margin.right,
height = 450 - margin.top - margin.bottom;
var parseDate = d3.time.format("%Y%m%d").parse;
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("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")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
data.forEach(function(d) {
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "date"; }));
d.date = parseDate(d.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; }); })
]);
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 (%)");
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")
.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.sentiment) + ")"; })
.attr("x", 3)
.attr("dy", ".35em")
// .style("text-anchor", "inherit")
.text(function(d) { return d.name; });
});
}
This results in something that looks like:
http://imgur.com/hFTItGp
Any ideas? I'd greatly appreciate your help. Thanks!
The root cause of the problem is that in the code
{name: d.name, value: d.values[d.values.length - 1]}
you're assuming that values are sorted by date, latest date last. In your data, the opposite is the case -- the latest date is first. Therefore, your text appears at the beginning of the x axis. To fix, simply sort your data.
I've fixed this and a few other things here.
Related
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.
I am trying to replicate the Multi-Series Line Chart example but I am unable to get the labels to show up at the end of the line or at all for that matter. The code is basically all the same as the example but a few words changed. The dataset is of county population and is formatted the same as in the example, earliest date at the top of the list and most recent date at the bottom of the list.
Anyone see anything I'm missing??
var margin = {top: 20, right: 80, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%Y%m%d").parse;
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("basis")
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.population); });
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("historicalpopulationTest.csv", function(error, data) {
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "date"; }));
data.forEach(function(d) {
d.date = parseDate(d.date);
});
var counties = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {date: d.date, population: +d[name]};
})
};
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([
d3.min(counties, function(c) { return d3.min(c.values, function(v) { return v.population; }); }),
d3.max(counties, function(c) { return d3.max(c.values, function(v) { return v.population; }); })
]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("x", width)
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Year");
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("Population");
var county = svg.selectAll(".county")
.data(counties)
.enter().append("g")
.attr("class", "county");
county.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.style("stroke", function(d) { return color(d.name); });
county.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.population) + ")"; })
.attr("x", width)
.attr("dy", ".35em")
.text(function(d) { return d.name; });
});
Graph looks like this
I think your problem is in the following code
county.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.population) + ")"; })
.attr("x", width)
.attr("dy", ".35em")
.text(function(d) { return d.name; });
I haven't run your code, but it looks like you are translating the text to the end of the line and then moving the x position an additional 'width' number of pixels.
Try changing .attr("x", width) to .attr("x", 3)
I am using the following JavaScript to plot the Multiline graph. I followed this Link
But no data is getting displayed. Also I am new to the whole JavaScript
Format of my .csv file is following and I want to read from Second column onwards where i want to plot favorite_count and retweet_count in Y-Axis and created_at at X-Axis:
TSV format
idtweet created_at favorite_count retweet_count
1311613481 Wed Mar 11 17:24:26 +0000 2009 0 1
10293166856 Wed Mar 10 22:57:09 +0000 2010 0 1
10881883917 Mon Mar 22 17:21:47 +0000 2010 0 1
My Code where I am not able to understand that where should I paas Y-axis favourite_count and retweet_count values?
MY Code
<script src="http://d3js.org/d3.v3.js"></script>
<script src="d3.legend.js"></script>
<script>
var margin = {top: 20, right: 80, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%a %b %d %H:%M:%S %Z %Y").parse;
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("basis")
.x(function(d) { return x(d.created_at); })
.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 + ")");
d3.tsv("/home/hduser/Downloads/MyTSV.tsv", function(error, data) {
color.domain(d3.keys(data[1]).filter(function(key) { return key !== "created_at"; }));
data.forEach(function(d) {
d.created_at = parseDate(d.created_at);
});
var cities = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {created_at: d.created_at, temperature: +d[name]};
})
};
});
x.domain(d3.extent(data, function(d) { return d.created_at; }));
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; }); })
]);
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 Tweets");
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); })
.attr("data-legend",function(d) { return d.name})
.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.created_at) + "," + y(d.value.temperature) + ")"; })
.attr("x", 2)
.attr("dy", ".35em")
.text(function(d) { return d.name; });
legend = svg.append("g")
.attr("class","legend")
.attr("transform","translate(50,30)")
.style("font-size","12px")
.call(d3.legend)
setTimeout(function() {
legend
.style("font-size","20px")
.attr("data-style-padding",10)
.call(d3.legend)
},1000)
});
Can anybody guide me that what direction should I follow ? I am new to this whole concept.
Thank you.
I'm trying to create a multiline graph using D3, and I keep running across the same error
Error: Problem parsing d="MNaN,450LNaN,0LNaN,450LNaN,450LNaN,0LNaN,0"
Which seems to occur when I try to graph my line:
city.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.style("stroke", function(d) { return color(d.name); });
I'm trying to graph a single line at the moment with the following data set:
{"name":"application_active_users","values":[{"value":0,"end_time":"2013-06-14T11:00:00.000Z"},{"value":1,"end_time":"2013-06-15T11:00:00.000Z"},{"value":0,"end_time":"2013-06-16T11:00:00.000Z"},{"value":0,"end_time":"2013-06-17T11:00:00.000Z"},{"value":1,"end_time":"2013-06-18T11:00:00.000Z"},{"value":1,"end_time":"2013-06-19T11:00:00.000Z"}]}
I'm assuming something is wrong with my datasource. Does anyone see an immediate issue with how my datasource is set up?
Here is a portion of the D3 code. The entire code is here http://jsfiddle.net/hy4Hz/.
var payload;
var storedMetrics = [];
var metricCount = 1;
var graphData = [];
var margin = {
top: 20,
right: 20,
bottom: 30,
left: 50
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
//var parseDate = d3.time.format("%Y-%m-%d").parse;
//var parseDate = d3.time.format("%Y-%m-%dT%H:%M:%SZ").parse;
var parseDate = d3.time.format("%Y-%m-%dT%H:%M:%S").parse;
var color = d3.scale.category10();
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var line = d3.svg.line()
.x(function (d) {
return x(d.end_time);
})
.y(function (d) {
return y(d.value);
});
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 + ")");
x.domain(d3.extent(
data, function (d) {
return d.end_time;
}));
y.domain([
d3.min(metrics, function (c) {
return d3.min(c.values, function (v) {
return v.value;
});
}),
d3.max(metrics, function (c) {
return d3.max(c.values, function (v) {
return v.value;
});
})]);
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(metrics)
.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.end_time) + "," + y(d.value.value) + ")";
})
.attr("x", 3)
.attr("dy", ".35em")
.text(function (d) {
return d.name;
});
It looks like your x.domain() might not be set up correctly. The first argument to d3.extent should be data.values.
I'm working from this code sample on Chained Transitions http://bl.ocks.org/mbostock/3903818
I've set up my own code to parse a csv file instead of a tsv. However when I switch from the New to Existing view I get the error Error parsing D3 d=""repeated two times in the Javascript console. Not sure if it is the data for each function that is causing the errors. Code is below:
var margin = {top: 20, right: 50, bottom: 30, left: 60},
width = 878 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%Y%d%m").parse;
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("basis")
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.price); });
var tooltip = d3.select("body")
.append("div")
.style("position", "absolute")
.style("z-index", "10")
.style("visibility", "hidden")
.text("a simple tooltip");
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 + ")")
//Add grid lines
function make_X_axis() {
return d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(6)
}
function make_Y_axis() {
return d3.svg.axis()
.scale(y)
.orient("left")
.ticks(9)
}
//Parse data
d3.csv("data/newdata2.csv", function(error, data) {
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "date"; }));
data.forEach(function(d) {
d.date = parseDate(d.date);
d["New"] = +d["New"];
d["Existing"] = +d["Existing"];
});
var homes = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {date: d.date, price: +d[name]};
})
};
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([
d3.min(homes, function(c) { return d3.min(c.values, function(v) { return v.price; }); }),
d3.max(homes, function(c) { return d3.max(c.values, function(v) { return v.price; }); })
]);
svg.append("g")
.attr("class", "grid")
.attr("transform", "translate(0," + height + ")")
.call(make_X_axis()
.tickSize(-height, 0, 0)
.tickFormat("")
)
svg.append("g")
.attr("class", "grid")
.call(make_Y_axis()
.tickSize(-width, 0, 0)
.tickFormat("")
)
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Thousands($)");
var city = svg.selectAll(".city")
.data(homes)
.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.price) + ")"; })
.attr("x", 3)
.attr("dy", ".35em")
.text(function(d) { return d.name; });
d3.selectAll("input").on("change", change);
var timeout = setTimeout(function() {
d3.select("input[value=\"Existing\"]").property("checked", true).each(change);
}, 2000);
function change() {
clearTimeout(timeout);
city = this.value;
// First transition the line & label to the new city.
var t0 = svg.transition().duration(750);
t0.selectAll(".line").attr("d", line);
t0.selectAll(".label").attr("transform", transform).text(city);
// Then transition the y-axis.
y.domain(d3.extent(data, function(d) { return d[city]; }));
var t1 = t0.transition();
t1.selectAll(".line").attr("d", line);
t1.selectAll(".label").attr("transform", transform);
t1.selectAll(".y.axis").call(yAxis);
}
function transform(d) {
return "translate(" + x(d.date) + "," + y(d[city]) + ")";
}
});
In the code where you create the line, you are referencing d.values as the data to draw the path with:
city.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.style("stroke", function(d) { return color(d.name); });
However, in the change handler, you simply call (twice)
t0.selectAll(".line").attr("d", line);
Making the two bits of code consistent should fix the issue, i.e. change the two calls in the change function to
t0.selectAll(".line").attr("d", function(d) { return line(d.values); });