I have two series of scale, one is linear and the other is band, how can I make them to match up if there is some caps in the data.
Take a look at the example if necessary.
Mouse over and you see the boxes are not matching with the breaks of line.
If you want your scaleBand to be scaled (widened) where data is missing, I don't think that the scaleBand is the proper method for this, but it is unclear if that is something you want. Band scales are intended to provide equal spacing for each data value and that all values are present - it is an ordinal scale.
Assuming you only want the band scale to be aligned with your data where it is present:
If you log the domains of each of your x scales (scaleBand and scaleLinear) we find that the scaleBand has a domain of:
[ "1", "2", "8", "9", "13", "14", "20", "22" ] // 8 elements
And the scaleLinear has a domain of:
[ 1, 22 ] // a span of 22 'elements'
The scaleBand will need an equivalent domain to the scaleLinear. You can do this statically ( which I show mostly to demonstrate how d3.range will work):
let xBand = d3.scaleBand()
.domain(d3.range(1,23))
.rangeRound([0, width]);
This actually produces a domain that has 22 elements from 1 through 22.
or dynamically:
let xBand = d3.scaleBand()
.domain(d3.range(d3.min(testData1, d => d[0],
d3.max(testData1, d => d[0]+1)))
You could do this other ways, but the d3.range() function is nice and easy.
However, there is still one issue that remains, this is aligning the ticks between the two scales. For the linear scale, the tick for the first value (1) is on the y axis, but the band gap scale starts (and is not centered) on the y axis and fills the gap between 1 and 2. In other words, the center point of the band does not align vertically with the vertices of the line graph.
This can be addressed by adding 0.5 to both the lower and upper bounds of the linear scale's domain:
let xDomain = [
d3.min(testData1, d => d[0]-0.5),
d3.max(testData1, d => d[0]+0.5)
];
I've udpated your codepen with the relevant changes: codepen.
And in the event that that disappears, here is a snippet (the mouse over does not work for me for some reason in the snippet, it does in the codepen )
let width = 1000;
let height = 300;
let svg = d3.select(".wrapper-area-simple").append("svg")
.attr("width", width + 80)
.attr("height", height + 80)
.append('svg:g')
.attr('transform', 'translate(40, 30)');
let testData1 = [
[ 1, 10],
[ 2, 30],
[ 8, 34],
[ 9, 26],
[13, 37],
[14, 12],
[20, 23],
[22, 16],
];
let xDomain = [
d3.min(testData1, d => d[0]-0.5),
d3.max(testData1, d => d[0]+0.5)
];
let x = d3.scaleLinear()
.rangeRound([0, width])
.domain(xDomain);
let y = d3.scaleLinear()
.range([height, 0])
.domain(d3.extent(testData1, d => d[1]));
let line = d3.line()
.x(d => x(d[0]))
.y(d => y(d[1]));
svg.append('svg:g')
.datum(testData1)
.append('svg:path')
.attr('d', line)
.attr('fill', 'none')
.attr('stroke', '#000');
let xAxis = d3.axisBottom(x)
.ticks(testData1.length);
svg.append('svg:g')
.call(xAxis)
.attr('transform', `translate(0, 300)`);
let xBand = d3.scaleBand()
.domain(d3.range(d3.min(testData1, d => d[0]),
d3.max(testData1, d => d[0]+1)
))
.rangeRound([0, width]);
svg.append('svg:g')
.selectAll('rect')
.data(testData1)
.enter()
.append('svg:rect')
.attr('x', d => xBand(d[0]))
.attr('width', xBand.bandwidth())
.attr('height', height)
.attr('fill', '#000')
.on('mouseover', function() {
d3.select(this).classed('over', true);
})
.on('mouseout', function() {
d3.select(this).classed('over', false);
});
svg {
border: 1px solid red;
}
rect {
opacity: .1;
}
rect.over {
opacity: .2;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.5.0/d3.min.js"> </script>
<div class="wrapper-area-simple"></div>
Well, bad news for you: they will never match up (in your case). Let's see why.
This is your data:
let testData1 = [
[1, 10],
[2, 30],
[8, 34],
[9, 26],
[13, 37],
[14, 12],
[20, 23],
[22, 16],
];
As you can see, regarding the x coordinate, the line jumps from 1 to 2, but then from 2 to 8, from 8 to 9, and then from 9 to 13... That is, the x range intervals are not regular, evenly spaced. So far, so good.
However, when you pass the same data to the band scale, this is what it does: it divides the range ([0, width], which is basically the width) by testData1.length, that is, it divides the range by 8, and creates 8 equal intervals. Those are your bands, and that's the expected behaviour of the band scale. From the documentation:
Discrete output values are automatically computed by the scale by dividing the continuous range into uniform bands. (emphasis mine)
One solution here is simply using another linear scale:
let xBand = d3.scaleLinear()
.domain(xDomain)
.rangeRound([0, width]);
And this math to the width of the rectangles:
.attr('width', (d,i) => testData1[i+1] ? xBand(testData1[i+1][0]) - xBand(d[0]) : 0)
Here is your updated Codepen: http://codepen.io/anon/pen/MJdGyY?editors=0010
Related
I've got this kind of non uniforme datas :
[{'time':0,'sum':0},{'time':600,'sum':2},{'time':700,'sum':4},{'time':1200,'sum':1},{'time':1300,'sum':3},{'time':1600,'sum':1},{'time':2000,'sum':0}];
"time" is on x axis and "sum" on y axis. If I make an area, I've got these shapes (curved in red, not curved in white) :
https://codepen.io/kilden/pen/podadRW
But the meaning of this is wrong. I have to interpret the "missing" datas. A bit like the "kernel density estimation" charts (example here :https://bl.ocks.org/mbostock/4341954) where values are at zero when there is no data, but there is a "fall off" around the point with data. (a gaussian curve)
It's hard to explain with words (and English is not my mother tongue). So I did this second codepen to show the idea of the shape. The area in red is the shape I want (White one is the reference of the first codepen) :
https://codepen.io/kilden/pen/VwrQrbo
I wonder if there is a way to make this kind of cumulative gaussian curves with a (hidden?) d3 function or a trick function ?
A. Your cheating yourself when you use the Epanechnikov kernel, evaluate these on a rather coarse grid and make a smooth line interpolation so that it looks gaussian. Just take a gaussian kernel to start with.
B. You're comparing apples and oranges. A kernel density estimate is an estimate of a probability density that cannot be compared to the count of observations. The integral of the kernel density estimate is always equal to 1. You can scale the estimate by the total count of observations, but even then your curve would not "stick" to the point, since the kernel spreads the observation away from the point.
C. What comes close to what you want to achieve is implemented below. Use a gaussian curve which is 1 at 0, i. e. without the normalizing factor and the rescaling by the bandwidth. The bandwidth now scales only the width of the curve but not its height. Then use your original data array and add up all these curves with the weight sum from your data array.
This will match your data points when there are no clustered observations. Naturally, when two observations are close to each other, their individual gaussian curves can add up to something bigger than each observation.
DISCLAIMER: As I already pointed out in the comments, this just produces a pretty chart and is mathematical nonsense. I strongly recommend working out the mathematics behind what it is you really want to achieve. Only then you should make a chart of your data.
const WIDTH = 600;
const HEIGHT = 150;
const BANDWIDTH = 25;
let data = [
{time: 0, sum: 0},
{time: 200, sum: 4},
{time: 250, sum: 2},
{time: 500, sum: 1},
{time: 600, sum: 2},
{time: 1500, sum: 5},
{time: 1600, sum: 4},
{time: 1800, sum: 3},
{time: 2000, sum: 0},
];
// svg
const svg = d3.select("body")
.append("svg")
.attr("width", WIDTH)
.attr("height", HEIGHT)
.style("background-color", "grey");
// scales
const x_scale = d3.scaleLinear()
.domain([0, 2000])
.range([0, WIDTH]);
const y_scale = d3.scaleLinear()
.range([HEIGHT, 0]);
// curve interpolator
const line = d3.line()
.x(d => x_scale(d.time))
.y(d => y_scale(d.sum))
.curve(d3.curveMonotoneX);
const grid = [...Array(2001).keys()];
svg.append("path")
.style("fill", "rgba(255,255,255,0.4");
// gaussian "kernel"
const gaussian = k => x => Math.exp(-0.5 * x / k * x / k);
// similar to kernel density estimate
function estimate(kernel, grid) {
return obs => grid.map(x => ({time: x, sum: d3.sum(obs, d => d.sum * kernel(x - d.time))}));
}
function render(data) {
data = data.sort((a, b) => a.time - b.time);
// make curve estimate with these kernels
const curve_estimate = estimate(gaussian(BANDWIDTH), grid)(data);
// set endpoints to zero for area plot
curve_estimate[0].sum = 0;
curve_estimate[curve_estimate.length-1].sum = 0;
y_scale.domain([0, 1.5 * Math.max(d3.max(data, d => d.sum), d3.max(curve_estimate, d => d.sum))]);
svg.select("path")
.attr("d", line(curve_estimate))
const circles = svg.selectAll("circle")
.data(data, d => d.time)
.join(
enter => enter.append("circle")
.attr("fill", "red"),
update => update.attr("fill", "white")
)
.attr("r", 2)
.attr("cx", d => x_scale(d.time))
.attr("cy", d => y_scale(d.sum));
}
render(data);
function randomData() {
data = [];
for (let i = 0; i < 10; i++) {
data.push({
time: Math.round(2000 * Math.random()),
sum: Math.round(10 * Math.random()) + 1,
});
}
render(data);
}
function addData() {
data.push({
time: Math.round(2000 * Math.random()),
sum: Math.round(10 * Math.random()) + 1,
});
render(data);
}
d3.select("#random_data").on("click", randomData);
d3.select("#add_data").on("click", addData);
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/7.3.0/d3.min.js"></script>
<button id="random_data">
Random Data
</button>
<button id="add_data">
Add data point
</button>
I have a file world.topo.json in TopoJson format which I took from https://datamaps.github.io/ and use it in a d3 geo chart (using merchant projection).
It works well, but I find quite odd why, when I call path.bounds(<TopoJson File Content>.objects.world.feature) and get these values:
[
[-25.272818452358365, -114.9648719971861],
[917.2049776245796, 507.5180814546301]
]
So, why is the botom/left corner pointing to -25 and -114? Shouldn't them be either 0,0 or -917, -507 instead?
Update: I have a zoom behavior object bound to my d3 chart, which works for me exactly as expected. So, I've written a console.log for every zoom/drag even like below:
const topojson = <response of an ajax request>;
const bounds = path.bounds(topojson.objects.world.feature);
console.log(translate, JSON.stringify(path.bounds(feature))); // XXX
So, every single time zoom/drag even is called, this is the type of output I get:
[25, 120] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
The first array being the current translate and the second being the bounds.
But, when I drag/pan or zoom, here is the output:
[0.021599999999999998, 0.10368] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[24.88185889212827, 119.4329226822157] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[25, 120] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[25, 120] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[-15, 119] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[-27, 117] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[-27.32184332502962, 117.03468139278337] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[-125.83796642848066, 127.65064293410353] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[-165.15379127139124, 131.88726199045166] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[-173.98081187505056, 132.83844955550114] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[-173.98081187505056, 132.83844955550114] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[-173.4557969093005, 132.7818746669505] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[-89.06290511198648, 123.68781305086063] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
[-89.06290511198648, 123.68781305086063] "[[-25.272818452358365,-114.9648719971861],[917.2049776245796,507.5180814546301]]"
As you can see, although the first argument changes constantly according to zoom and pan events, the bounds remain untouched.
The documentation about path.bounds(object)has it covered:
Returns the projected planar bounding box (typically in pixels) for the specified GeoJSON object. The bounding box is represented by a two-dimensional array: [[x₀, y₀], [x₁, y₁]], where x₀ is the minimum x-coordinate, y₀ is the minimum y-coordinate, x₁ is maximum x-coordinate, and y₁ is the maximum y-coordinate.
So, -25 and -114 are the minimum x and y values, and refer to the top left corner (in the SVG coordinates system), not the bottom left.
Have in mind that path.bounds is different from geoBounds, which:
Returns the spherical bounding box for the specified GeoJSON feature. The bounding box is represented by a two-dimensional array: [[left, bottom], [right, top]], where left is the minimum longitude, bottom is the minimum latitude, right is maximum longitude, and top is the maximum latitude.
How does it work?
path.bounds(object) will use your projection to drawn a "rectangle" around your object and will return an array with the four corners of that rectangle, as described above. Let's see how it works in these demos (this code is not mine):
In this first demo, the map of Japan has an scale of 1000. Check the console to see path.bounds.
var topoJsonUrl = "https://dl.dropboxusercontent.com/u/1662536/topojson/japan.topo.json";
var width = 500,
height = 500,
scale = 1;
d3.select("body").append("svg")
.attr("width", width)
.attr("height", height)
.append("g").attr("id", "all-g");
var projection = d3.geo.mercator()
.center([138, 38])
.scale(1000)
.translate([width / 2, height / 2]);
d3.json(topoJsonUrl, onLoadMap);
function onLoadMap (error, jpn) {
var path = d3.geo.path()
.projection(projection);
var features = topojson.object(jpn, jpn.objects.japan);
var mapJapan = features;
console.log(JSON.stringify(path.bounds(mapJapan)))
d3.select("#all-g")
.append("g").attr("id", "path-g").selectAll("path")
.data(features.geometries)
.enter()
.append("path")
.attr("fill", "#f0f0f0")
.attr("id", function(d,i){ return "path" + i})
.attr("stroke", "#999")
.attr("stroke-width", 0.5/scale)
.attr("d", path);
}
path {
stroke: black;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<script src="https://d3js.org/topojson.v0.min.js"></script>
It logs:
[[-12.878670523380151,73.71036362631844],[529.0014631418044,535.5463567314675]]
Which are [[x0, y0],[x1, y1]] values.
Now the same code, but with a scale of 500:
var topoJsonUrl = "https://dl.dropboxusercontent.com/u/1662536/topojson/japan.topo.json";
var width = 500,
height = 500,
scale = 1;
d3.select("body").append("svg")
.attr("width", width)
.attr("height", height)
.append("g").attr("id", "all-g");
var projection = d3.geo.mercator()
.center([138, 38])
.scale(500)
.translate([width / 2, height / 2]);
d3.json(topoJsonUrl, onLoadMap);
function onLoadMap (error, jpn) {
var path = d3.geo.path()
.projection(projection);
var features = topojson.object(jpn, jpn.objects.japan);
var mapJapan = features;
console.log(JSON.stringify(path.bounds(mapJapan)))
d3.select("#all-g")
.append("g").attr("id", "path-g").selectAll("path")
.data(features.geometries)
.enter()
.append("path")
.attr("fill", "#f0f0f0")
.attr("id", function(d,i){ return "path" + i})
.attr("stroke", "#999")
.attr("stroke-width", 0.5/scale)
.attr("d", path);
}
path {
stroke: black;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<script src="https://d3js.org/topojson.v0.min.js"></script>
It logs different values:
[[118.56066473830992,161.85518181315928],[389.5007315709022,392.77317836573377]]
Here is a jsbin of what I have so far.
My sine wave is not going to the y value of 1 or -1, i.e the amplitude.
My yScale is defined like this:
const yScaleAxis = d3.scale.linear()
.domain([-1, 1])
.range([radius, -radius]);
And I am creating the values like this:
const xValues = [0, 1.57, 3.14, 4.71, 6.28]; // 0 to 2PI
const sineData = xValues.map((x) => {
console.log(Math.sin(x));
return {x: x, y: Math.sin(x)};
});
The values for y are logged as:
0
0.9999996829318346
0.0015926529164868282
-0.999997146387718
-0.0031853017931379904
I then use the scale to set the values:
const sine = d3.svg.line()
.interpolate('basis')
.x( (d) => {return xScaleAxis(d.x);})
.y( (d) => {return yScaleAxis(d.y);});
circleGroup.append('path')
.datum(sineData)
.attr('class', 'sine-curve')
.attr('d', sine);
But as you can see in the jsbin the amplitude of the sine wave is not reaching 1 or -1 and I am not sure why.
Change the line interpolation method to monotone, basis corresponds to a B-spline
More info about the interpolation options provided by d3
I have timeseries data. On the server, I generate an x array, and three arrays of values (all of equal length).
However, the x array doesn't always go month to month. Sometimes it skips a couple of months. When this happens, the x-axis is very spaced out. Is there a good way to generate range of labels on the x-axis, and pass key values for different lines so that the entire line's values are still represented in the chart.
Currently I have:
var chart = c3.generate({
bindto: "#" + this.chart.chartId,
data: {
x: 'x',
columns: [
["x", "2015-01-01", "2015-02-01, "2015-06-01", "2016-01-01"],
["data1", 5, 8, 2, 9]
["data2", 3, 10, 2, 1]
["data3", 1, 8, 4, 9]
},
subchart: {
show: true
},
axis: {
x: {
type: 'timeseries',
extent: ['2015-01-01', '2016-01-01'],
tick: {
format: '%Y-%m-%d'
}
}
}
});
Any advice is appreciated to solve this spaced out issue for timeseries.
You appear to be asking about addressing x axes with c3, but your tags suggest that you are open to a solution with D3. Looking at your JSON string and seeing the node x.extent I would suggest trying something like this:
// setup x axes
var minDate = yourJSON.x.extent[0], maxDate = yourJSON.x.extent[1],
xScale = d3.time.scale().domain([maxDate,maxDate]).range([0, width]),
xAxis = d3.svg.axis().scale(xScale).orient("bottom").tickFormat(d3.time.format("%Y-%m-%d"));
var svg = d3.select("#chart-content").append("svg")...etc;
// x-axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", -6)
.style("text-anchor", "end");
Since you are specifying a range, D3 will expose time in between those dates.
Code available here http://jsfiddle.net/zeleniy/ea1uL7w9/
data = [47, 13, 61, 46, 26, 32, 6, 85, 1, 14, 86, 77, 13, 66, 0, 20, 11, 87, 5, 15];
data = [52, 33, 53, 45, 59, 45, 42, 50, 53, 50, 37, 45, 52, 50, 46, 48, 52, 56, 58, 59];
width = 300;
height = 100;
xScale = d3.scale.linear()
.domain([0, data.length])
.range([0, width]);
yScale = d3.scale.linear()
.domain([d3.min(data), d3.max(data)])
.range([0, height])
area = d3.svg.area()
.interpolate("basis")
.x(function(d, i) { return xScale(i); })
.y0(function(d) { return yScale(-d / 2); })
.y1(function(d) { return yScale(d / 2); });
svg = d3.select("#stream")
.append("svg")
.attr("width", width)
.attr("height", height);
svg.selectAll("path")
.data([this.data])
.enter()
.append("path")
.attr("transform", "translate(0," + (height / 2) + ")")
.style("fill", "red")
.attr("d", area);
With first data set chart drawn in the center of svg element, as i expect. But with second data set stream shifts to the top of svg element. And i can't understand why. So why?
The first array contains values close to 0 and it's opening up your range. This line, then, is a fudge to shift the path into that open window:
.attr("transform", "translate(0," + (height / 2) + ")")
That said, you are setting up your scales in a confusing way (to me at least). I think about my domain as the min/max of my (plotted) dataset, in your case -max(d/2) and max(d/2). Further, I also think about my y-scale going from bottom to top as it would in a normal plot. With these changes, you don't need to artificially move anything:
var dataMax = d3.max(data);
yScale = d3.scale.linear()
.domain([ -dataMax/2, dataMax/2 ]) // real min/max of plotted data
.range([height, 0]) //<- bottom to top, although it still works without this change...
In this example, I left an axis overlayed for illustration.