I have created a D3 visualization which contains both a scatterplot and a line chart. They share an x-axis, but each have their own y-axis. My problem involves how to properly implement a brush and update both y-axes.
As you can see here the y-axes are correct initially and also correct again once the brush is turned off. However during 'brushing' both y-axes are set to the 'left' one. I see why this is happening when I setup my brush here:
brush = d3.svg.brush()
.x(brushFilterXScale)
.y(brushFilterTransactionsYScale)
.on('brush', brushed);
I also have a brushFilterBalanceYScale which is the scale for the axis on the right. My question is how do I pass BOTH of these scales to brush so that I can update each y-axis properly?
I don't know of a straight-forward way to do this. You can, however, reverse map it in your brush event:
function brushed() {
var extent = brush.extent(), //<-- the extent
yDomain = [extent[0][1], extent[1][1]]; //<-- the y domain of the extent
y2.domain(
[
y2Brush.invert(yBrush(yDomain[0])), //<-- take the yDomain start, get it's pixel position, then invert that back into the domain of the y2Brush
y2Brush.invert(yBrush(yDomain[1]))
]
);
Here's a working example:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
}
.line {
fill: none;
stroke: steelblue;
clip-path: url(#clip);
}
circle {
clip-path: url(#clip);
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.brush .extent {
stroke: #fff;
fill-opacity: .125;
shape-rendering: crispEdges;
}
</style>
<body>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>
var margin = {
top: 10,
right: 40,
bottom: 100,
left: 40
},
margin2 = {
top: 430,
right: 40,
bottom: 20,
left: 40
},
width = 500 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
height2 = 500 - margin2.top - margin2.bottom;
var x = d3.scale.linear().range([0, width])
y = d3.scale.linear().range([height, 0]),
y2 = d3.scale.linear().range([height, 0]),
xBrush = d3.scale.linear().range([0,width]),
yBrush = d3.scale.linear().range([height2, 0]),
y2Brush = d3.scale.linear().range([height2, 0]);
var xAxis = d3.svg.axis().scale(x).orient("bottom"),
yAxis = d3.svg.axis().scale(y).orient("left"),
yAxis2 = d3.svg.axis().scale(y2).orient("right"),
yAxisBrush = d3.svg.axis().scale(yBrush).orient("bottom");
xAxisBrush = d3.svg.axis().scale(xBrush).orient("bottom");
var brush = d3.svg.brush()
.x(xBrush)
.y(yBrush)
.on("brush", brushed);
var line = d3.svg.line()
.interpolate("monotone")
.x(function(d) {
return x(d.x);
})
.y(function(d) {
return y(d.y);
});
var lineBrush = d3.svg.line()
.interpolate("monotone")
.x(function(d) {
return x(d.x);
})
.y(function(d) {
return yBrush(d.y);
});
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom);
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var focus = svg.append("g")
.attr("class", "focus")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var context = svg.append("g")
.attr("class", "context")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
var data1 = [],
data2 = [];
for (var i = 0; i < 100; i++) {
data1.push({
x: i,
y: Math.random() * 10
});
if (i % 3 === 0){
data2.push({
x: i,
y: Math.random() * 100
});
}
}
x.domain([0,100]);
y.domain([0, d3.max(data1.map(function(d) {
return d.y;
}))]);
y2.domain([0, d3.max(data2.map(function(d) {
return d.y;
}))]);
xBrush.domain(x.domain());
yBrush.domain(y.domain());
y2Brush.domain(y2.domain());
focus.append("path")
.datum(data1)
.attr("class", "line")
.attr("d", line);
var scatter = focus.append("g")
.selectAll("circle")
.data(data2);
scatter
.enter()
.append("circle")
.attr("cx", function(d){
return x(d.x);
})
.attr("cy", function(d){
return y2(d.y);
})
.attr("r", function(d){
d.r = Math.random() * 20;
return d.r;
})
.style("fill", "orange")
.style("opacity", "0.5");
focus.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
focus.append("g")
.attr("class", "y axis")
.call(yAxis);
focus.append("g")
.attr("transform", "translate(" + width + " ,0)")
.attr("class", "y2 axis")
.call(yAxis2);
context.append("path")
.datum(data1)
.attr("class", "line")
.attr("d", lineBrush);
context.append("g")
.selectAll("circle")
.data(data2)
.enter()
.append("circle")
.attr("cx", function(d){
return x(d.x);
})
.attr("cy", function(d){
return y2Brush(d.y);
})
.attr("r", function(d){
return d.r * 0.25;
})
.style("fill", "orange")
.style("opacity", "0.5");
context.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxisBrush);
context.append("g")
.attr("class", "x brush")
.call(brush)
.selectAll("rect")
.attr("y", -6)
.attr("height", height2 + 7);
function brushed() {
var extent = brush.extent(),
yDomain = [extent[0][1], extent[1][1]];
y2.domain([y2Brush.invert(yBrush(yDomain[0])), y2Brush.invert(yBrush(yDomain[1]))]);
x.domain(brush.empty() ? xBrush.domain() : [extent[0][0], extent[1][0]]);
y.domain(brush.empty() ? yBrush.domain() : yDomain);
scatter
.attr("cx", function(d){
return x(d.x);
})
.attr("cy", function(d){
return y2(d.y);
})
focus.select(".line").attr("d", line);
focus.select(".x.axis").call(xAxis);
focus.select(".y.axis").call(yAxis);
focus.select(".y2.axis").call(yAxis2);
}
</script>
Related
I'm trying to build a chart that goes from 1 line to many lines. I have built the two charts separately, but am having trouble combining them. The idea is that I want to show the total of all fruit sold per year, and then show how much of each fruit is sold per year.
This is the template I'm working from: http://bl.ocks.org/d3noob/a048edddbf83bff03a34
In my code, the single line shows up fine. When I click update, the axes update as they should, but the data doesn't. Any help would be greatly appreciated.
My code is in a plunker, here: https://plnkr.co/edit/dgwsGLIRbZ2qm7faEvSw?p=preview
The code is also below.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body { font: 12px Arial;}
path {
stroke: #333;
stroke-width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke-width: 1;
shape-rendering: crispEdges;
}
</style>
<body>
<div id="option">
<input name="updateButton" id="updateData" type="button" value="Update" />
<input name="revertButton" type="button" value="Revert" onclick="revertData()" />
</div>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="//code.jquery.com/jquery-1.10.2.js"></script>
<script>
var margin = {top: 30, right: 20, bottom: 30, left: 50},
width = 800 - margin.left - margin.right,
height = 470 - margin.top - margin.bottom;
var x = d3.scaleLinear().range([0, width]);
var y = d3.scaleLinear().range([height, 0]);
var xAxis = d3.axisBottom().scale(x)
.ticks(7)
.tickFormat(d3.format("d"))
var yAxis = d3.axisLeft().scale(y)
.ticks(5);
var valueline = d3.line()
.x(function(d) { return x(d.Year); })
.y(function(d) { return y(d.Count); });
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("datab.csv", function(error, data2) {
d3.csv("dataa.csv", function(error, data) {
data.forEach(function(d) {
d.Year = +d.Year;
d.Count = +d.Count;
});
x.domain(d3.extent(data, function(d) { return d.Year; }));
y.domain([0, d3.max(data, function(d) { return d.Count; })]);
dataNest1 = d3.nest()
.key(function(d) {return d.Type;})
.entries(data);
var result1 = dataNest1.filter(function(val,idx, arr){
return $("." + val.key)
})
var calls = d3.select("svg").selectAll(".line")
.data(result1, function(d){return d.key})
var color1 = d3.scaleOrdinal().range(["#333", "none", "none", "none", "none", "none"]);
calls.enter().append("path")
.attr("class", "line")
.attr("stroke","#333")
.attr("d", function(d){
return valueline(d.values)
})
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
d3.select('#updateData').on('click',function(){
updateData(data2)
})
});
});
function updateData(data2) {
data2.forEach(function(d) {
d.Year = +d.Year;
d.Count = +d.Count;
});
dataNest = d3.nest()
.key(function(d) {return d.Descriptor;})
.entries(data2);
var result = dataNest.filter(function(val,idx, arr){
return $("." + val.key)
})
x.domain(d3.extent(data2, function(d) { return d.Year; }));
y.domain([0, d3.max(data2, function(d) { return d.Count; })]);
var svg = d3.select("body").transition();
svg.selectAll('.circle').duration(0).remove()
d3.select("svg").selectAll(".line")
.data(result, function(d){return d.key})
d3.select("svg").selectAll("path.line")
.transition()
.duration(700)
.style("stroke", "#333")
.attr("d", function(d){
return valueline(d.values)
});
// svg.select(".line") // change the line
// .duration(750)
// .attr("d", valueline(rats));
svg.select(".x.axis")
.transition()
.duration(750)
.call(xAxis);
svg.select(".y.axis")
.duration(750)
.call(yAxis);
}
function revertData() {
// Get the data again
d3.csv("totalsbyyear.csv", function(error, data) {
data.forEach(function(d) {
d.Year = +d.Year;
d.Count = +d.Count;
});
// Scale the range of the data again
x.domain(d3.extent(data, function(d) { return d.Year; }));
y.domain([0, d3.max(data, function(d) { return d.Count; })]);
// Select the section we want to apply our changes to
var svg = d3.select("body").transition();
// Make the changes
svg.select(".line") // change the line
.duration(750)
.attr("d", valueline(data));
svg.select(".x.axis") // change the x axis
.duration(750)
.call(xAxis);
svg.select(".y.axis") // change the y axis
.duration(750)
.call(yAxis);
});
}
</script>
</body>
There are a few problems here. The first one being that your datasets are very different and I don't see anywhere in the code to compensate for there being multiple different fruit in the same year. This is something you will need to address either by modifying your csv file or in your updateData function to extract just a single fruit.
I have made some changes to your plunker that will allow the updateFunction to work but without fixing the input data it won't really matter.
https://plnkr.co/edit/DSg09NWPrBADLLbcL5cx?p=preview
The main thing that needed to be fixed was
d3.select("svg").selectAll("path.line")
.data(result, function(d){return d.key})
.transition()
.duration(700)
.style("stroke", "#337")
.attr("d", function(d){
return valueline(result)
});
And putting the d3.csv on datab.csv call in the updateData function instead of wrapping it around the main table creation function.
I was probably being unclear in my question asking. I figured out what I needed to do to make it work as intended. Code here:
https://plnkr.co/edit/YrABkbc8l9oeT1ywMspy?p=preview
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body { font: 12px Arial;}
path {
stroke: #333;
stroke-width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke-width: 1;
shape-rendering: crispEdges;
}
</style>
<body>
<div id="option">
<input name="updateButton" id="updateData" type="button" value="Update" />
<input name="revertButton" type="button" value="Revert" onclick="revertData()" />
</div>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="//code.jquery.com/jquery-1.10.2.js"></script>
<script>
var margin = {top: 30, right: 200, bottom: 30, left: 50},
width = 850 - margin.left - margin.right,
height = 470 - margin.top - margin.bottom;
var x = d3.scaleLinear().range([0, width]);
var y = d3.scaleLinear().range([height, 0]);
var xAxis = d3.axisBottom().scale(x)
.ticks(7)
.tickFormat(d3.format("d"))
var yAxis = d3.axisLeft().scale(y)
.ticks(5);
var valueline = d3.line()
.x(function(d) { return x(d.Year); })
.y(function(d) { return y(d.Count); });
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("datab.csv", function(error, data2) {
d3.csv("dataa.csv", function(error, data) {
data.forEach(function(d) {
d.Year = +d.Year;
d.Count = +d.Count;
});
x.domain(d3.extent(data, function(d) { return d.Year; }));
y.domain([0, d3.max(data, function(d) { return d.Count; })]);
svg.append("path")
.attr("class", "line")
.attr("d", valueline(data));
svg.append("text")
.attr("transform", function(d) { return "translate(" + x(2017) + "," + y(35074) + ")"; })
.attr("x", 3)
.attr("dy", "0.35em")
.attr('class','toplinetext')
.style("font", "10px sans-serif")
.text(function(d) { return "All"; });
circles = svg.selectAll("circle")
.data(data)
.enter()
.append("circle")
.attr('class','circle')
.attr('cx',function(d){ return x(d.Year)})
.attr('cy',function(d){ return y(d.Count)})
.attr('r',3)
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.exit().remove();
d3.select('#updateData').on('click',function(){
updateData(data2)
})
});
});
function updateData(data2) {
data2.forEach(function(d) {
d.Year = +d.Year;
d.Count = +d.Count;
});
var notapples = data2.filter(function(d){return d.Descriptor == "Peach" || d.Descriptor == "Pear" || d.Descriptor == "Plum" || d.Descriptor == "Banana"})
dataNest = d3.nest()
.key(function(d) {return d.Descriptor;})
.entries(notapples);
var result = dataNest.filter(function(val,idx, arr){
return $("." + val.key)
})
$('.toplinetext').text('Apples');
x.domain(d3.extent(data2, function(d) { return d.Year; }));
y.domain([0, d3.max(data2, function(d) { return d.Count; })]);
var svg = d3.select("body").transition();
svg.selectAll('.circle').duration(0).remove()
var typeOfCall = d3.select("svg").selectAll(".dline")
.data(result, function(d){return d.key})
.enter().append("g")
.attr("class", function(d){return "type " + d.key})
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
var color2 = d3.scaleOrdinal().range(["#ff0000", "#333", "#333", "#333", "#333", "#333"]);
typeOfCall.append("path")
.attr("height", 0)
.transition()
.duration(700)
.attr("class", "line")
.style("stroke", function(d,i) { return color2(d.key); })
.attr("d", function(d){
return valueline(d.values)
});
typeOfCall.append("text")
.datum(function(d) { return {id: d.Descriptor, value: d.values[d.values.length - 1]}; })
.attr("transform", function(d) { return "translate(" + x(d.value.Year) + "," + y(d.value.Count) + ")"; })
.attr("x", 3)
.attr("dy", "0.35em")
.style("font", "10px sans-serif")
.text(function(d) { return d.value.Descriptor; });
typeOfCall.exit().remove();
apples = data2.filter(function(d){return d.Descriptor == "Apple"})
svg.select(".line")
.duration(750)
.attr("d", valueline(apples));
svg.select(".x.axis")
.transition()
.duration(750)
.call(xAxis);
svg.select(".y.axis")
.duration(750)
.call(yAxis);
}
function revertData() {
// Get the data again
d3.csv("totalsbyyear.csv", function(error, data) {
data.forEach(function(d) {
d.Year = +d.Year;
d.Count = +d.Count;
});
$('.toplinetext').text('All');
$('.Peach,.Pear,.Banana,.Plum').remove();
// Scale the range of the data again
x.domain(d3.extent(data, function(d) { return d.Year; }));
y.domain([0, d3.max(data, function(d) { return d.Count; })]);
// Select the section we want to apply our changes to
var svg = d3.select("body").transition();
// Make the changes
svg.select(".line") // change the line
.duration(750)
.attr("d", valueline(data));
svg.select(".x.axis") // change the x axis
.duration(750)
.call(xAxis);
svg.select(".y.axis") // change the y axis
.duration(750)
.call(yAxis);
});
}
</script>
</body>
Right now i have a brush function and two lines. I could add tiptool without brush function but since i have brush now, it wont focus anymore. And also i have two lines, so its hard to choose a appropriate tiptool. I wanted to add the tiptool only on the upper margin. I am new in javascript. Anyone could help me with it? Thank you so much
var margin = {
top: 10,
right: 10,
bottom: 100,
left: 40
},
margin2 = {
top: 430,
right: 10,
bottom: 20,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
height2 = 500 - margin2.top - margin2.bottom;
var color = d3.scale.category10();
var parseDate = d3.time.format("%m/%e/%Y %H:%M").parse;
var x = d3.time.scale().range([0, width]),
x2 = d3.time.scale().range([0, width]),
y = d3.scale.linear().range([height, 0]),
y2 = d3.scale.linear().range([height2, 0]);
var xAxis = d3.svg.axis().scale(x).orient("bottom"),
xAxis2 = d3.svg.axis().scale(x2).orient("bottom"),
yAxis = d3.svg.axis().scale(y).orient("left");
var brush = d3.svg.brush()
.x(x2)
.on("brush", brush);
var line = d3.svg.line()
.defined(function(d) {
return !isNaN(d.power);
})
.interpolate("cubic")
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.power);
});
var line2 = d3.svg.line()
.defined(function(d) {
return !isNaN(d.power);
})
.interpolate("cubic")
.x(function(d) {
return x2(d.date);
})
.y(function(d) {
return y2(d.power);
});
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom);
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var focus = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var context = svg.append("g")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
d3.csv("pvdata2.csv", function(error, data) {
color.domain(d3.keys(data[0]).filter(function(key) {
return key !== "pvdate";
}));
data.forEach(function(d) {
d.date = parseDate(d.pvdate);
});
var sources = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {
date: d.date,
power: +d[name]
};
})
};
});
x.domain(d3.extent(data, function(d) {
return d.date;
}));
y.domain([d3.min(sources, function(c) {
return d3.min(c.values, function(v) {
return v.power;
});
}),
d3.max(sources, function(c) {
return d3.max(c.values, function(v) {
return v.power;
});
})
]);
x2.domain(x.domain());
y2.domain(y.domain());
var focuslineGroups = focus.selectAll("g")
.data(sources)
.enter().append("g");
var focuslines = focuslineGroups.append("path")
.attr("class", "line")
.attr("d", function(d) {
return line(d.values);
})
.style("stroke", function(d) {
return color(d.name);
})
.attr("clip-path", "url(#clip)");
focus.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
focus.append("g")
.attr("class", "y axis")
.call(yAxis);
var contextlineGroups = context.selectAll("g")
.data(sources)
.enter().append("g");
var contextLines = contextlineGroups.append("path")
.attr("class", "line")
.attr("d", function(d) {
return line2(d.values);
})
.style("stroke", function(d) {
return color(d.name);
})
.attr("clip-path", "url(#clip)");
context.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);
context.append("g")
.attr("class", "x brush")
.call(brush)
.selectAll("rect")
.attr("y", -6)
.attr("height", height2 + 7);
svg.append("text")
.attr("fill", "#000")
.attr("transform", "rotate(-90)")
.attr("y", 45)
.attr("dy", "0.71em")
.style("text-anchor", "end")
.text("Power (kW)");
});
function brush() {
x.domain(brush.empty() ? x2.domain() : brush.extent());
focus.selectAll("path.line").attr("d", function(d) {
return line(d.values)
});
focus.select(".x.axis").call(xAxis);
focus.select(".y.axis").call(yAxis);
}
// Active point element
var activePoint = svg.append('circle')
.attr({
cx: 0,
cy: 0,
r: 5,
'pointer-events': 'none'
})
.style({
stroke: 'none',
fill: 'red',
'fill-opacity': 0
});
svg {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.y.axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.brush .extent {
stroke: #fff;
fill-opacity: .125;
shape-rendering: crispEdges;
}
.line {
fill: none;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
I was trying to refactor this bar chart in d3 to be a horizontal bar chart. I think I've isolated the three areas that need to be changed:
the original scale declarations:
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], 0.1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
The domain definitions:
x0.domain(data.map(function(d) { return d.deviceType; }));
x1.domain(deviceClass).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.whenPurchased, function(d) { return d.value; }); })]);
the rect appending and positioning:
device.selectAll("rect")
.data(function(d) { return d.whenPurchased; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.device); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.device); });
I can't seem to get the refactoring right and I think that is because I don't exactly get how domain works for x0 and basically not getting that right has a waterfall effect of everything else not working.
I put the full example here: JSFIDDLE
Here's a quick refactor:
var margin = {top: 20, right: 20, bottom: 30, left: 270},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var y0 = d3.scale.ordinal()
.rangeRoundBands([0, height], 0.1);
var y1 = d3.scale.ordinal();
var x = d3.scale.linear()
.range([0, width]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y0)
.orient("left");
// .tickFormat(d3.format(".2s"));
var svg = d3.select("#deviceown-barchart").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.csv.parse( d3.select("pre#data").text() );
var deviceClass = d3.keys(data[0]).filter(function(key) { return key !== "deviceType"; });
data.forEach(function(d) {
d.whenPurchased = deviceClass.map(function(device) { return {device: device, value: +d[device]}; });
});
y0.domain(data.map(function(d) { return d.deviceType; }));
y1.domain(deviceClass).rangeRoundBands([0, y0.rangeBand()]);
x.domain([0, d3.max(data, function(d) { return d3.max(d.whenPurchased, function(d) { return d.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");
var device = svg.selectAll(".device")
.data(data)
.enter().append("g")
.attr("class", "device")
.attr("transform", function(d) { return "translate(0," + y0(d.deviceType) + ")"; });
device.selectAll("rect")
.data(function(d) { return d.whenPurchased; })
.enter().append("rect")
.attr("height", y1.rangeBand())
.attr("y", function(d) { return y1(d.device); })
.attr("x", 0)
.style("fill", function(d) { return color(d.device); })
.attr("width", 0)
.transition()
.duration(1500)
.attr("width", function(d) { return x(d.value); });
var legend = svg.selectAll(".legend")
.data(deviceClass.slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
// });
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.y.axis path {
display: none;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<div id="deviceown-barchart"></div>
<pre id="data">
deviceType,Within the last 6 months,More than 6 months ago
Netatmo Weather Station,0.14,0.09
Nest Learning Thermostat,0.13,0.14
Philips Hue Connected Bulb,0.13,0.08
Nest Cam,0.12,0.12
Belkin WeMo Switch + Motion,0.09,0.08
Nest Protect,0.08,0.12
Canary,0.08,0.03
Other smart home security device,0.08,0.12
August Smart Lock,0.06,0.07
Other connected home appliance,0.05,0.08
GE/Quirky Aros Smart AC,0.04,0.04
Other smart energy monitor,0,0.03
</pre>
Updated fiddle.
UPDATED
Problem
a) Only one of my bar charts is showing after I switched a variable var csvData in my scripts.js to the real data from the dummy data. The previous data referenced states and demographics, which has now been switched to food and their prices.
scripts.js (UPDATED, chart still not showing up)
$(function() {
$("#placeholder").remove();
var margin = {top: 60, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// X is the horizontal axis
var x0 = d3.scale.ordinal() // ordinal for non quantitative scales, like names, categories
.rangeRoundBands([0, width], .1); // Width of each individual bar?
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
// Bar chart colors
var color = d3.scale.ordinal()
.range(["#001F4C", "#003D99", "#005CE6", "#0066FF", "#3385FF", "#80B2FF", "#CCE0FF", "#E6F0FF", "#E6EBFA"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left") // Where the Y axis goes, you'll want it on the left
.ticks(8)
.tickValues([0, 1, 2, 3, 4, 5, 6]);
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 + ")");
// Bar chart data
var csvData = [
{"Store":"Co-op","Broccoli":2.69,"Cauliflower":3.69,"Celery":1.89,"Strawberries":4.49,"Oranges":1.69,"Tomatoes":3.49,"Lemons":0.99, "Lettuce":0.01, "Cucumber":2},
{"Store":"Safeway","Broccoli":2.97,"Cauliflower":3.98,"Celery":1.77,"Strawberries":5.96,"Oranges":0.97,"Tomatoes":2.97,"Lemons":0.77, "Lettuce":4.97, "Cucumber":1.97},
{"Store":"Sobeys","Broccoli":3.49,"Cauliflower":3.99,"Celery":1.29,"Strawberries":3.99,"Oranges":1.99,"Tomatoes":4.99,"Lemons":1.29, "Lettuce":3.49, "Cucumber":1.99},
{"Store":"Superstore","Broccoli":2.69,"Cauliflower":2.49,"Celery":1.09,"Strawberries":2.99,"Oranges":0.99,"Tomatoes":3.99,"Lemons":0.99, "Lettuce":4.99, "Cucumber":2.49},
];
var data = csvData;
var foodNames = d3.keys(data[0]).filter(function(key) { return key !== "Store"; });
data.forEach(function(d) {
d.food = foodNames.map(function(name) { return {name: name, value: +d[name]}; });
});
x0.domain(data.map(function(d) { return d.Store; }));
x1.domain(foodNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.food, function(d) { return d.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)") // Rotates the label on the Y axis
.attr("y", 8) // Label spacing from Y axis
.attr("dy", ".71em") // Label spacing from Y axis
.style("text-anchor", "end") // Anchor the label to the end of the Y axis
.text("Price (in dollars)"); // Changes the text on the Y or vertical axis
var store = svg.selectAll(".store") // Selects all of the data in column labelled store
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.store) + ",0)"; });
store.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("class", "stick")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(ageNames.slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 22.5 + ")"; }); // Determines spacing between items in legend
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; });
});
index.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Document</title>
<link rel="stylesheet" href="assets/css/style.css">
</head>
<body>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.min.js"></script>
<script src="assets/js/scripts.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
</body>
</html>
style.css
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
/*.stick {
fill: steelblue;
}
.stick:hover {
fill: brown;
}*/
.x.axis path {
display: none;
}
$(function() {
$("#placeholder").remove();
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// X is the horizontal axis
var x0 = d3.scale.ordinal() // ordinal for non quantitative scales, like names, categories
.rangeRoundBands([0, width], .1); // Width of each individual bar?
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0])
// These are the colors
var color = d3.scale.ordinal()
// .range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
.range(["#001F4C", "#003D99", "#005CE6", "#0066FF", "#3385FF", "#80B2FF", "#CCE0FF", "#E6F0FF"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left") // Where the Y axis goes, you'll want it on the left
// .tickFormat(d3.format(".1s"));
.ticks(6);
//.tickValues([0, 1, 2, 3, 4, 5]);
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 + ")");
// Bar chart data
var csvData = [
{"State":"Co-op","Broccoli":2027307,"Cauliflower":3277946,"Celery":1420518,"Strawberries":2454721,"Oranges":7017731,"Tomatoes":5656528,"Lemons":2472223, "Lettuce":2472223, "Cucumber":2472223},
{"State":"Safeway","Broccoli":2704659,"Cauliflower":4499890,"Celery":2159981,"Strawberries":3853788,"Oranges":10604510,"Tomatoes":8819342,"Lemons":4114496, "Lettuce":2472223, "Cucumber":2472223},
{"State":"Sobeys","Broccoli":1140516,"Cauliflower":1938695,"Celery":925060,"Strawberries":1607297,"Oranges":4782119,"Tomatoes":4746856,"Lemons":3187797, "Lettuce":2472223, "Cucumber":2472223},
{"State":"Superstore","Broccoli":1208495,"Cauliflower":2141490,"Celery":1058031,"Strawberries":1999120,"Oranges":5355235,"Tomatoes":5120254,"Lemons":2607672, "Lettuce":2472223, "Cucumber":2472223},
];
// Food Prices
// var csvData = [
// {"Store":"Sobey","Broccoli":2.69,"Cauliflower":3.69,"Celery":$1.89,"Strawberries":$4.49,"Oranges":"1.69,"Tomatoes":$3.49,"Lemons":$0.99,"Lettuce":$0.00,"Cucumber":2.00},
// {"Store":"Superstore","Broccoli":2.97,"Cauliflower":3.98,"Celery":1.77,"Strawberries":5.96,"Oranges":0.97,"Tomatoes":2.97,"Lemons":0.77,"Lettuce":4.97,"Cucumber":1.97},
// {"Store":"Safeway","Broccoli":3.49,"Cauliflower":3.99,"Celery":1.29,"Strawberries":3.99,"Oranges":1.99,"Tomatoes":4.99,"Lemons":1.29,"Lettuce":3.49,"Cucumber":1.99},
// {"Store":"Coop","Broccoli":2.69,"Cauliflower":"2.49","Celery":"1.09","Strawberries":"2.99","Oranges":"0.99","Tomatoes":"3.99","Lemons":"0.99","Lettuce":"4.99","Cucumber":"2.49"}
// ];
// AgeNames = FoodNames
// States = Stores
var data = csvData;
var ageNames = d3.keys(data[0]).filter(function(key) { return key !== "State"; });
data.forEach(function(d) {
d.ages = ageNames.map(function(name) { return {name: name, value: (+d[name])/2000000}; });
});
x0.domain(data.map(function(d) { return d.State; }));
x1.domain(ageNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(d.ages, function(c) {
return c.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)") // Rotates the label on the Y axis
.attr("y", 8) // Label spacing from Y axis
.attr("dy", ".71em") // Label spacing from Y axis
.style("text-anchor", "end") // Anchor the label to the end of the Y axis
.text("Price (in dollars)"); // Changes the text on the Y or vertical axis
var state = svg.selectAll(".state") // Selects all of the data in column labelled State
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.State) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("class", "stick")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(ageNames.slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 22.5 + ")"; });
// Number (20) determines spacing between items in legend
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; });
});
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
/*.stick {
fill: steelblue;
}
.stick:hover {
fill: brown;
}*/
.x.axis path {
display: none;
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
To achieve our requirement I've added one thing,i.e.
(+d[name])/2000000 while assigning the value I'm just dividing it to fit to our scale. y domain is set to very big number like near to one Crore.
Hello all I'm trying to repurpose the Focus+Context graph found here: Focus + Context Example to work with a bar graph instead. I've been able to get the bars in but I have some overlap problems. When you make a selection in the context area the focus area will sometimes display bars that interfere with the display of the scale. Here's my code, there are some parts I know I need to clean up so lets not focus on that. Can someone point me in the right direction here?
<!DOCTYPE html>
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
}
path {
fill: steelblue;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.brush .extent {
stroke: #fff;
fill-opacity: .125;
shape-rendering: crispEdges;
}
</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
var focusGraph;
var dataTest = d3.csv("sp500.csv");
var margin = {top: 10, right: 10, bottom: 100, left: 40},
margin2 = {top: 430, right: 10, bottom: 20, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
height2 = 500 - margin2.top - margin2.bottom;
var parseDate = d3.time.format("%b %Y").parse;
var x = d3.time.scale().range([0, width]),
x2 = d3.time.scale().range([0, width]),
y = d3.scale.linear().range([0,height]),
y2 = d3.scale.linear().range([0,height2]);
var xAxis = d3.svg.axis().scale(x).orient("bottom"),
xAxis2 = d3.svg.axis().scale(x2).orient("bottom"),
yAxis = d3.svg.axis().scale(y).orient("left");
var brush = d3.svg.brush()
.x(x2)
.on("brush", brushed);
var area = d3.svg.area()
.interpolate("monotone")
.x(function(d) { return x(d.date); })
.y0(height)
.y1(function(d) { return y(d.price); });
/*var area2 = d3.svg.area()
.interpolate("monotone")
.x(function(d) { return x2(d.date); })
.y0(height2)
.y1(function(d) { return y2(d.price); });*/
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom);
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var focus = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var context = svg.append("g")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
d3.csv("sp500.csv", function(error, data) {
data.forEach(function(d) {
d.date = parseDate(d.date);
d.price = +d.price;
});
x.domain(d3.extent(data.map(function(d) { return d.date; })));
y.domain([0, d3.max(data.map(function(d) { return d.price; }))]);
x2.domain(x.domain());
y2.domain(y.domain());
focus.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
focus.append("g")
.attr("class", "y axis")
.call(yAxis);
focusGraph = focus.selectAll("rect")
.data(data)
.enter().append("rect")
.attr("x", function(d, i) { return x(d.date); })
.attr("y", function(d) { return height - y(d.price); })
.attr("width", 5)
.attr("height", function(d) { return y(d.price); });
context.selectAll("rect")
.data(data)
.enter().append("rect")
.attr("x", function(d, i) { return x2(d.date); })
.attr("y", function(d) { return height2 - y2(d.price); })
.attr("width", 5)
.attr("height", function(d) { return y2(d.price); });
context.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);
context.append("g")
.attr("class", "x brush")
.call(brush)
.selectAll("rect")
.attr("y", -6)
.attr("height", height2 + 7);
});
function brushed() {
var data = d3.csv("sp500.csv");
x.domain(brush.empty() ? x2.domain() : brush.extent());
focusGraph.attr("x", function(d, i) { return x(d.date); });
focusGraph.attr("width", 20);
focus.select(".x.axis").call(xAxis);
}
</script>
That's because you simply forgot to set clip-path to the chart. So consider the following idea:
var focus = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// here we insert the new group that will be the container for the bars
var barsGroup = focus.append("g")
.attr('clip-path', 'url(#clip)');
And then you define the actual chart as within this new group:
focusGraph = barsGroup.selectAll("rect")
.data(data)
.enter().append("rect")
See the demo: http://jsfiddle.net/JGytk/