How can I make a scatterplot plotting time of day against date, which looks like this in using javascript and d3? The problem I am having is formatting the time of day data and axis. Input of the date is in the y column format below.
Sample data:
Day Time
5-Feb-16 21:35:00
5-Feb-16 19:15:00
11-Dec-15 21:42:00
21-Jul-15 11:00:00
Code below inspired by:
http://bl.ocks.org/d3noob/38744a17f9c0141bcd04
What I have so far:
<!DOCTYPE html>
<meta charset="utf-8">
<style> /* set the CSS */
body { font: 12px Arial;}
path {
stroke: steelblue;
stroke-width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke-width: 1;
shape-rendering: crispEdges;
}
</style>
<body>
<!-- load the d3.js library -->
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
// Set the dimensions of the canvas / graph
var margin = {top: 30, right: 20, bottom: 30, left: 50},
width = 600 - margin.left - margin.right,
height = 270 - margin.top - margin.bottom;
// Parse the date / time
var parseDate = d3.time.format("%d-%b-%y").parse;
// Set the ranges
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
// Define the axes
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(5);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(5);
// Define the line
var valueline = d3.svg.line()
.x(function(d) { return x(d.Day); })
.y(function(d) { return y(d.Time); });
// Adds the svg canvas
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 + ")");
// Get the data
d3.csv("data.csv", function(error, data) {
data.forEach(function(d) {
console.log(d.Time);
d.Day = parseDate(d.Day);
d.Time = +d.Time;
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) { return d.Day; }));
y.domain([0, d3.max(data, function(d) { return d.Time; })]);
// Add the valueline path.
svg.append("path")
.attr("class", "line")
.attr("d", valueline(data));
// Add the scatterplot
svg.selectAll("dot")
.data(data)
.enter().append("circle")
.attr("r", 3.5)
.attr("cx", function(d) { return x(d.Day); })
.attr("cy", function(d) { return y(d.Time); });
// Add the X Axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the Y Axis
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
});
</script>
</body>
My output:
Is there a way to parse times and be able to plot them directly using javascript and d3? Or do I need to convert them to decimal numbers like 12:30 = 12.5 to plot them?
If you're using time in the y scale, you should parse the Time column as well:
var parseDate = d3.time.format("%d-%b-%y").parse;
var parseTime = d3.time.format("%H:%M:%S").parse;
Here is your code with just 4 points (the ones of the CSV you copy/pasted in your question):
var margin = {
top: 30,
right: 20,
bottom: 30,
left: 80
},
width = 600 - margin.left - margin.right,
height = 270 - margin.top - margin.bottom;
// Parse the date / time
var parseDate = d3.time.format("%d-%b-%y").parse;
var parseTime = d3.time.format("%H:%M:%S").parse;
// Set the ranges
var x = d3.time.scale().range([0, width]);
var y = d3.time.scale().range([height, 0]);
// Define the axes
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(5);
var yAxis = d3.svg.axis().scale(y)
.orient("left");
// Define the line
var valueline = d3.svg.line()
.x(function(d) {
return x(d.Day);
})
.y(function(d) {
return y(d.Time);
});
// Adds the svg canvas
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 + ")");
// Get the data
var data = d3.csv.parse(d3.select("#csv").text());
data.forEach(function(d) {
d.Day = parseDate(d.Day);
d.Time = parseTime(d.Time);
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) {
return d.Day;
}));
y.domain([parseTime("00:00:01"), parseTime("23:59:59")]);
// Add the valueline path.
svg.append("path")
.attr("class", "line")
.attr("d", valueline(data));
// Add the scatterplot
svg.selectAll("dot")
.data(data)
.enter().append("circle")
.attr("r", 3.5)
.attr("cx", function(d) {
return x(d.Day);
})
.attr("cy", function(d) {
return y(d.Time);
});
// Add the X Axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the Y Axis
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
pre {
display: none;
}
path {
stroke: steelblue;
stroke-width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke-width: 1;
shape-rendering: crispEdges;
}
<script src="//d3js.org/d3.v3.min.js"></script>
<pre id="csv">Day,Time
5-Feb-16,21:35:00
1-Feb-16,19:15:00
11-Dec-15,21:42:00
21-Jul-15,11:00:00</pre>
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.
I have a basic column chart in d3.js. I've been tasked with displaying additional data for each column underneath the chart in a table.
How can I align the table columns under their respective chart columns?
The table is raw HTML here for simplicity. I could generate the table using d3 if that would be helpful for this question.
Here's the fiddle: http://jsfiddle.net/pqRX8/1/
Or use this file:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.bar {
fill: steelblue;
}
.bar:hover {
fill: brown;
}
.axis {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
display: none;
}
</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
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")
.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 data = [
{'letter': 'A', 'frequency': '.08167'},
{'letter': 'B', 'frequency': '.01492'},
{'letter': 'C', 'frequency': '.02782'},
{'letter': 'D', 'frequency': '.04253'},
];
x.domain(data.map(function(d) { return d.letter; }));
y.domain([0, d3.max(data, function(d) { return d.frequency; })]);
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("Frequency");
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.letter); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.frequency); })
.attr("height", function(d) { return height - y(d.frequency); });
function type(d) {
d.frequency = +d.frequency;
return d;
}
</script>
<table>
<tr><td>Phonetic</td><td>alpha</td><td>bravo</td><td>charlie</td><td>delta</td></tr>
<tr><td>Pronunciation</td><td>AL-FAH</td><td>BRAH-VOH</td><td>CHAR-LEE</td><td>DELL-TAH</td></tr>
</table>
Use the same x.rangeBand() for widths of your table columns as you do for the widths of your bars. Don't forget to add a horizontal padding of 5% (10% total) of it to compensate for .rangeRoundBands([0, width], .1);
In my d3.js bar chart i want the X-axis labels to be in "vertical". I'm getting the labels in "Horizontal" but the problem is some of the labels getting merged.
<!DOCTYPE html>
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: red;
}
.x.axis path {
display: none;
}
</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
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 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("ClassRoom.csv",type,function(error,data){
x.domain(data.map(function(d) { return d.Name; }));
y.domain([0, d3.max(data, function(d) { return d.Marks; })]);
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("Marks");
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.Name); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.Marks); })
.attr("height", function(d) { return height - y(d.Marks)});
});
function type(d) {
d.Marks = +d.Marks;
return d;
}
</script>
My CSV file is
Name,Marks
Sathesh,15
Somnath,45
Naresh,35
Venkat,25
Prabha,78
Dinesh,36
You will have to do that with the SVG-Text Labels. Assuming you create the X-Axis in this fashion:
var xAxis = svg.append("g")
.attr({
"class": "x axis",
transform: "translate(0," + h + ")"
})
.call(xAxis);
You select the Text, and apply a transformation:
xAxis.selectAll("text")
.attr({
transform: function (d) {
return "rotate(-60, 0, 0)";
}
});
You will have to adjust the 0,0 in the rotate transformation to suit your needs. Also i recommend looking into the text-anchor attribute. But this should get you started!
That's the CSV file: http://goo.gl/ZVVjD
I've this problem only for bar chart. The line chart works fine. I don't know how to modify this one.
Please,help me to understand where I'm wrong.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.x.axis path {
display: none;
}
</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
//var formatPercent = d3.format("04d");
//var formatPercent = d3.format(".0%");
var parseDate = d3.time.format("%d-%b-%y-%H:%M:%S").parse;
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")
//.tickFormat(formatPercent);
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("data.tsv", function(error, data) {
data.forEach(function(d) {
d.date = parseDate(d.date);
//d.energy = parseInt(d.energy);
d.energy = +d.energy;
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.energy; })]);
//y.domain(d3.extent(data, function(d) { return d.energy; }));
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("Energy");
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.date); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.energy); })
.attr("height", function(d) { return height - y(d.energy); });
});
</script>
Thank you very much!
I don't believe x.rangeBand() works for time scales. Try replacing it with with a fixed pixel value of 2 or 3.