Is there any d3 function like scalePoint but for two dimensions? - javascript

I want to place clusters like in this block:
https://bl.ocks.org/SpaceActuary/d6b5ca8e5fb17842d652d0de21e88a05
However, I want the clusters to be on a 2d grid rather than in a line and specify range in each dimension so that I can have e.g. a short but wide lattice.
I tried playing with scalePoint range but couldn't get it to return an array.
I could manually compute positions, but would be a lot cleaner if there's already a built-in way to do this in d3.

Related

Triangulating contours into 2d mesh with color data intact

I am using a Javascript library 'Tess2' to triangulate a series of contours.
https://github.com/memononen/tess2.js/blob/master/src/tess2.js
It generates a perfect 2d mesh of any shape consisting of multiple contours:
A contour consists of a series of points (in a negative winding order for solid fills, in a positive winding order for holes)
However, the resulting triangles output by the algorithm are no longer tied to a contour and its fill color.
How would I alter Tess2 (or any other javascript library that tesselates contours) to allow for the retention of color data in the resulting triangles?
I've tried looking everywhere and I cannot find a solution.
From what I've seen in the source code, the tessalation function contains a vertex indices in an returned object:
Tess2.tesselate = function(opts) {
...
return {
vertices: tess.vertices,
vertexIndices: tess.vertexIndices,
vertexCount: tess.vertexCount,
elements: tess.elements,
elementCount: tess.elementCount,
mesh: debug ? tess.mesh : undefined
};
You can create a new array with the colors for each vertex, and then use vertexIndices from the object to get a color of the vertex.
If you would like to have a color per face, you would just need to generate an array like above, which means putting the same vertex color for each vertex in a array. You would also like to wrap all of this data in some kind of convienent object or class.
[EDIT]
It turns out that the tesselation algorithm merges vertices in the same position, meaning that it reorganizes vertex array completely. There are a solution to explicitly not merge different contours with overlapping vertices:
Tess2.tesselate({ contours: yourContours, elementType: Tess2.BOUNDARY_CONTOURS });
That should preserve the original vertices, however not in an original order, use vertexIndices to get the original position of these.
After many failed attempts I finally got there.
I've been trying all this time to try and process a huge amount of contours all at once with a single tessellation pass.
I tried editing the tessellation library to make each half edge retain it original contour ID. I had several eureka moments when it finally seemed to work, only to be disappointed when I stress tested it and found it to be less than perfect.
But it turns out I've been incredibly daft...
All I had to do was group each contour with a particular fill, and then tesselate each group independently.
I didn't understand that for every interior contour fill, there would always be an opposite contour that effectively enclosed the outer contour loop.
For instance, to represent a red box with a blue box inside there would be 2 red contours and 1 blue. I thought it could be represented with only 1 blue contour and 1 red, where the blue would also represent the red contour's hole, and so processing each colour group of contours independently didn't make sense to me.
When I finally realised this, I figured it out.
I've published a solution on github but I'm not sure how much use it is to anyone:
https://github.com/hedgehog90/triangulate-contours-colour-example
I've included a pretty comprehensive exporter script for converting contours (including curves) into polygonal paths for Adobe Flash/Animate which might be useful for someone.
I will be writing an OBJ exporter on top of this shortly, so I can represent vector graphics in a 3D engine.

When having mulitple Y lines data, how can I let the chart automatically scale to show them all?

Suppose I have a linechart with multiple lines (the number is dynamic) and I would need to always scale the Y so that all lines are shown - so the scale should always be based on the range with highest values. Is there a way how to it automatically? I found some example with automatic yScaling using d3.max but that is done for a known dataset. In my case, I do not know what range will be the one to use.

Parallel coordinates with d3.js

I need to to represent a Parallel Coordinates with d3.js. First of all I have no idea if what I think is possible to achieve (and if the Parallel Coordinates is the right chart).
I will explain my idea: I take data from a database and I expose them in a JSON and I store them in an array of objects (with JavaScript).
This is an example of the data http://pastebin.com/DZcMqDMc.
I would like to represent along the abscissa axis years (though there are years repeating themself, as you can see from data example), while along the ordinate axis values of those years (values are in percent, ranging from 1 to 100).
I would like to represent two lines according to "value1" and "value2" property in the JSON file.
Is it possible? Is Parallel Coordinates the right chart?
The main problem I have right now is that I do not understand how to set right the two domains (abscissa and ordinate).
I am basing on the example Parellel Coordinates of Bostock.
For abscissa I am thinking something like that:
x.domain(
d3.extent(test,
function(d) {
return d.years;
}
)
);
It makes sense or?
Try a multi line chart.That might suit your need.
I am not sure what you are trying.
Simply do a line chart, and produce the vertical lines by formatting the ticks to go from 0 to height ( in your var xAxis code include .tickSize(0-height)). You will have to pick the right number of ticks, as in ticks(), so you just get the lines where you want them.
Check out Parcoords, a d3-based parallel coordinates library. For compatibility with d3 v5 see https://github.com/BigFatDog/parcoords-es which is based on the original Parcoords library (https://github.com/syntagmatic/parallel-coordinates) which relies on an outdated version of d3.
For examples and sample code, check out the following link: http://syntagmatic.github.io/parallel-coordinates/.

Plotting extra linear data on D3 js graph

Check out this fiddle, using D3 and plotting a line graph against dates.
http://jsfiddle.net/T546B/172/
I want to plot some further data on my graph and want to know if its possible, I would ideally like the graph to look like below:-
The extra data is linear and doesn't have a price value and I want it to be included somewhere near the middle of the graph. The data array would be in a format along the lines of:-
var eventArray = [[startdate, enddate, name]];
I was basically wondering if this is possible, plotting two types of data, using different SVG elements on one graph. - not sure how to approach this problem. Any help appreciated!
you just need to set up a second line generator with the coordinates that you want for x and y

Charting thousands of points with dojo

I need to plot thousands of points, perhaps close to 50,000 with the dojo charting library. It works, but it's definitely very slow and lags the browser. Is there any way I can get better performance?
EDIT:
I solved by applying a render filter to the data. Essentially, I have a new item parameter called "render" which is set to false by my json source if the point is expected to overlap others. My DataSeries then queries for all points where render:true. This way all of the data is there still for non-visual sources that want all of the points, while my charts now run smoothly.
Psuedocode:
def is_overlapped(x, y, x_round, y_round)
rounded_x = round(x, x_round)
rounded_y = round(y, y_round)
hash = hash_xy(rounded_x, rounded_y)
if(#overlap_filter[hash].nil?)
#overlap_filter[hash] = true
return false
end
return true
end
x_round and y_round can be determined by the x and y ranges, say for example range / 100
I know this isn't probably exactly the answer you're looking for, but have you considered simply reducing the number of points you are plotting? I don't know the specific function of the graph(s), but I'd imagine most graphs with that many points are unnecessary; and no observer is going to be able to take that level of detail in.
Your solution could lie with graphing techniques rather than JavaScript. E.g. you could most likely vastly reduce the number of points and use a line graph instead of a scatter plot while still communicating similar levels of information to your intended target.

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