I'm trying to learn d3js and started with an example of a Area Chart example. I understand what is happening in this example and i tried to manipulate it a little bit to fix my data to this chart
my data looks like
date,close
0:15,0.433
0:30,0.919
0:45,0.750
1:00,0.699
1:15,0.629
1:30,0.896
1:45,0.794
2:00,0.802
2:15,0.866
2:30,0.943
2:45,0.750
3:00,0.518
3:15,0.721
3:30,0.649
3:45,0.816
4:00,0.698
4:15,0.403
4:30,0.772
4:45,0.605
5:00,0.721
5:15,0.684
5:30,0.559
5:45,0.697
6:00,0.751
and the code
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.area {
fill: steelblue;
}
</style>
<body>
<div class="test"></div>
<script src="http://d3js.org/d3.v3.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.linear()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var area = d3.svg.area()
.x(function(d) { return x(d.date); })
.y0(height)
.y1(function(d) { return y(d.close); });
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/data2.csv", function(error, data) {
data.forEach(function(d) {
d.close = +d.close;
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.close; })]);
svg.append("path")
.data(data)
.attr("class", "area")
.attr("d", area);
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("Price ($)");
});
</script>
</body>
</html>
this doesn't work and i think i know why...because now the x-axis is not a "date" and the domain isn't set in the right way?! So what do you think should i do? Is there a way to say d3 that the x-axis is a timestemp every 15 minutes?! And then, is the data set in the right way with ".data(data)" and not ".datum(data)".
best regards
linda
There are at least 3 issues here:
You need to convert the time strings (eg 4:15) to javascript Date objects when you parse the csv. +d.close is insufficient; use d3.time.format('%H:%M').parse() method for that.
For the svg.append("path") bit, calling .data(data) on it ends up just assigning the first element of data to the path, instead of the entire array. That's just the way d3 selections work with data. This in turn causes .attr("d", area) to only pass the single data point to the area generator, instead of the whole set. Instead of .data(data), use .datum(data) (or, I think .data([data]) would work as well), which will bind the entire array to the path.
As you point out, the scale x needs to be d3.time.scale(). However, fixing the 2 things above should already make it present the graph, but instead of having dates along the x axis, you would see relly big numbers, corresponding to milliseconds since 1970.
That should do it, unless there are other issues I missed. If so, put this stuff into a jsfiddle and I'll take a look.
Related
I'm following this example by Mike himself. The timeFormat in the example is ("%d-%b-%y"), but using my own data uses just the year. I've made all the necessary changes (I think). The y-axis shows, but the x-axis doesn't. There are also no errors showing, so I'm not sure where to go. Below is my code. Thanks!
<!DOCTYPE html>
<meta charset="utf-8">
<p></p>
<style>
.axis--x path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
</style>
<!--We immediately define the variables of our svg/chart-->
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
// Now we give our svg some attributes. We use conventional margins as set out by Mike Bostock himself.
// Sets width and height minus the margins.
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 30, left: 50},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// Here we set out the time format: date-month-year.
//var parseTime = d3.timeParse("%d-%b-%y");
var formatTime = d3.timeFormat("%Y");
formatTime(new Date); // "2015"
// Now we set our axis. X is according to the time, and y is linear.
// We use rangeRound to round all the values to the nearest whole number.
// We don't use rangeBands or rangePoints as we're not creating a bar chart or scatter plot.
var x = d3.scaleTime()
.rangeRound([0, width]);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
// Now we tell what we want our line to do/represent.
// x is the date, and y is the close price.
var line = d3.line()
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.close);
});
// This is where we load our tsv file.
d3.tsv("/LineCharts/Line Chart 2 - MO Capital Punishment/data/data.tsv", function(d) {
d.date = formatTime(d.date);
d.close = +d.close;
return d;
}, function(error, data) {
if (error) throw error;
// The .extent function returns the minimum and maximum value in the given array.
// Then, function(d) { return d.date; } returns all the 'date' values in 'data'.
// The .domain function which returns those maximum and minimum values to D3 as the range for the x axis.
x.domain(d3.extent(data, function(d) {
return d.date;
}));
//Same as above for the x domain.
y.domain(d3.extent(data, function(d) {
return d.close;
}));
// Note that we use attr() to apply transform as an attribute of g.
// SVG transforms are quite powerful, and can accept several different kinds of transform definitions, including scales and rotations.
// But we are keeping it simple here with only a translation transform, which simply pushes the whole g group over and down by some amount, each time a new value is loaded onto the page.
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Doing the same as above but for the y axis.
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y))
//This is where we append(add) text labels to our y axis.
.append("text")
.attr("fill", "#000")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.style("text-anchor", "end")
.text("Total");
g.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);
});
</script>
I´m using d3.js library but i´m having so problems with linear graphics. It looks like on each page refresh, the graphics is replicated, and after some running time i got lots of duplicated graphics. I´m also using static data (i entered some random data for the graphic to work). Can someone help me? Why is this happening? Any solutions?
chart3-controller.js
module.exports = function Chart3Ctrl($scope) {
d3 = require('d3')
$scope.chart = function() {
var arrData = [
["2012-10-02", 200],
["2012-10-09", 300],
["2012-10-12", 150]
];
var margin = {
top: 20,
right: 20,
bottom: 30,
left: 50
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%Y-%m-%d").parse;
var x = d3.time.scale()
.range([0, width])
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var line = d3.svg.line()
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.close);
});
var svg = d3.select("#chart3").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top +
")");
var data = arrData.map(function(d) {
return {
date: parseDate(d[0]),
close: d[1]
};
});
console.log(data);
x.domain(d3.extent(data, function(d) {
return d.date;
}));
y.domain(d3.extent(data, function(d) {
return d.close;
}));
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Price ($)");
svg.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);
}
}
chart3.pug
.widget-container.fluid-height.stf-cpu(ng-controller='Chart3Ctrl')
.heading
i.fa
span(translate) Chart 3
.widget-content.padded
div#chart3(style='width:100%; height:100%;')
{{ chart() }}
Please any help welcome! :)
Thanx
Have you tried to remove the chart at the top of the function?
so;
d3.selectAll('#chart3 svg').remove();
this would remove any instance of the chart before re drawing, a better approach might be to wrap inside an if statement to check if the svg exists first and then drawing it if it doesn't, using jquery this could be ;
if(!$('#chart3 svg').length > 0) {
run code here...
}
I could really use some help fixing a d3js related problem.. I did everything I know and googled everywhere but still can’t figure out the solution. I’ve got a simple database as shown below.
when executing the code it reads all the data and everything is fine, when it’s doing it’s refresh it’s updating the temperature graph but not the humidity... I tried many things including adding valueline2 to the update function but it still doesn't work... Any help would be much appreciated thanks.
dtg | temperature | hum
2016-03-02 09:14:00 23 40
2016-03-02 09:10:00 22 45
<!DOCTYPE html>
<meta charset="utf-8">
<style> /* set the CSS */
body { font: 14px Arial;}
path {
stroke: steelblue;
stroke-width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke-width: 1;
shape-rendering: crispEdges;
}
/* Addon 5,6,7 - part 1*/
.grid .tick {
stroke: lightgrey;
stroke-opacity: 0.7;
shape-rendering: crispEdges;
}
.grid path {
stroke-width: 0;
}
</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: 60, bottom: 50, left: 50},
width = 600 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
// Parse the date / time
/* var parseDate = d3.time.format("%d-%b-%y").parse; */
var parseDate = d3.time.format("%Y-%m-%d %H:%M:%S").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(6);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(8);
// Define the line
var valueline = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.dtg); })
.y(function(d) { return y(d.temperature); });
// Define the 2nd line -- Addon 9 part 1
var valueline2 = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.dtg); })
.y(function(d) { return y(d.hum); });
// 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 + ")");
// Addon 5,6,7 - part 2
function make_x_axis() {
return d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(8)
}
function make_y_axis() {
return d3.svg.axis()
.scale(y)
.orient("left")
.ticks(8)
}
// Get the data
d3.json("data.php", function(error, data) {
data.forEach(function(d) {
d.dtg = parseDate(d.dtg);
d.temperature = +d.temperature;
d.hum = +d.hum; // Addon 9 part 3
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) { return d.dtg; }));
y.domain([0, d3.max(data, function(d) { return Math.max(d.temperature, d.hum)+5; })]);
// y.domain([0, d3.max(data, function(d) { return d.temperature; })]);
// Add the valueline path.
svg.append("path")
.attr("class", "line")
.attr("d", valueline(data));
// Add the valueline2 path - Addon 9 part 2
svg.append("path")
.attr("class", "line")
.style("stroke", "red")
.attr("d", valueline2(data));
// 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);
// Addon 4
svg.append("g") // Add the Y Axis
.attr("class", "y axis")
.call(yAxis);
// Addon 5,6,7 - part 3
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("")
)
});
var inter = setInterval(function() {
updateData();
}, 5000);
// ** Update data section (Called from the onclick)
function updateData() {
// Get the data again
d3.json("data.php", function(error, data) {
data.forEach(function(d) {
d.dtg = parseDate(d.dtg);
d.temperature = +d.temperature;
d.hum = +d.hum;
});
// Scale the range of the data again
x.domain(d3.extent(data, function(d) { return d.dtg; }));
y.domain([0, d3.max(data, function(d) { return Math.max(d.temperature, d.hum) + 5; })]); // Addon 9 part 4
// Select the section we want to apply our changes to
var svg = d3.select("body").transition();
// Make the changes
svg.select(".line").duration(750).attr("d", valueline(data));
svg.select("x.axis").duration(750).call(xAxis);
svg.select("y.axis").duration(750).call(yAxis);
});
}
</script>
</body>
You need to give different names to your different lines. Right now both lines only have the same class: ".line".
// Add the valueline path.
svg.append("path")
.attr("class", "line")
.attr("id", "line1") //new id
.attr("d", valueline(data));
// Add the valueline2 path - Addon 9 part 2
svg.append("path")
.attr("class", "line")
.attr("id", "line2") //new id
.style("stroke", "red")
.attr("d", valueline2(data));
Then in the update, you need to actually update both lines:
// Make the changes
svg.select("#line1").duration(750).attr("d", valueline(data)); //update line 1
svg.select("#line2").duration(750).attr("d", valueline2(data)); //update line 2
svg.select("x.axis").duration(750).call(xAxis);
svg.select("y.axis").duration(750).call(yAxis);
Another more "D3-friendly" approach would be to give the temperature data to your first path, the humidity data to the second one, and then call a variant of valueline on each path, each one with their respective data.
I have a big problem.
I use d3 to visualize my (poll)data. (So Questions and answers) It works fine except one problem.
Sometimes it doesn't visualize the data like they are. For example one time d3 get all right data about d3.json. But the graph is not right. It should load 300 answers in the first bars but it just show 50. I tested it and the json works.
I tried to filter the graph and I got the same problem.
This is my d3 code.
<div>
<script src="http://d3js.org/d3.v3.js"></script>
<script>
var margin = {
top: 20,
right: 30,
bottom: 30,
left: 430
},
width = 1400 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var xScale = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var yScale = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(yScale)
.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)
.attr("class", "chart");
var chart = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
d3.json("getdata.php", function(error, data) {
xScale.domain(data.map(function(d) {
return d.text;
}));
yScale.domain([0, d3.max(data, function(d) {
return d.count;
})]);
chart.selectAll(".bar")
.data(data)
.enter()
.append("rect")
.attr("class", "bar")
.attr("x", function(d) {
return xScale(d.text);
})
.attr("y", function(d) {
return yScale(d.count);
})
.attr("height", function(d) {
return height - yScale(d.count);
})
.attr("width", xScale.rangeBand())
chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
chart.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("Antworten");
});
function type(d) {
d.count = +d.text;
return d;
}
</script>
</div>
I guess the problem starts here. But I don't know why. The problem doesn't appear at every question. Only at a few or when I try to use my filter.
Maybe it happens when two values have a big difference?
Update:
It is like: D3 doesn't want to lose the smallest bar. So other bars must based on that smallest. And then the values are not correct for the bigger bars. Maybe the Y scale depends on the smallest bar.
I can't figure out why the data won't display correctly. I think it has something to do with the scale of the axis but I can't find any solutions. There is a line being drawn but it's to small to see. The example I was using had a time scale of several years where as I am only doing one week.
Below is the code.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
</style>
</head>
<body>
<script src="http://d3js.org/d3.v3.js" charset="utf-8"></script>
<script>
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("%d-%b-%y").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");
var line = d3.svg.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.close); });
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 = [{"close":71,"date":"9-Apr-13"},{"close":14,"date":"9-Apr-13"},{"close":10,"date":"9-Apr-13"},{"close":109,"date":"9-Apr-13"},{"close":62,"date":"9-Apr-13"},{"close":61,"date":"9-Apr-13"},{"close":62,"date":"9-Apr-13"},{"close":32,"date":"9-Apr-13"},{"close":19,"date":"9-Apr-13"}];
data.forEach(function(d) {
d.date = parseDate(d.date);
d.close = +d.close;
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain(d3.extent(data, function(d) { return d.close; }));
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("Price ($)");
svg.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);
</script>
</body>
</html>
Based on the data you've provided, there is only one instance of time: Apr 9, 2013. Since there is no difference between min and max, the x axis won't display.
If you change one date to Apr 11, It looks right.
Bear in mind that your css says
.x.axis path {
display: none;
}
so the actual line for the x axis won't display no matter what