How to bin 2d data?
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Dear all,
I have a 2-dimension coordinate set (x,y) which contains 5000 points and I want to construct a 2d map to reflect the point density distribution. firstly I want to divide both of the ranges of the two coordinate sets (-3 to2 for x; and -2.5 to 3 for y) into like 37 bins,so there will be totally 37x37 bins. Then I want to assign each point into these bins.To do that I need to construct a indicator function δkij (k=1:5000; i=1:37; j=1:37) which denotes whether point k falls in bin (i,j): if point k falls into bin (i,j), then δkij=1, otherwiseδkij=0. Then the histogram at bin (i,j) is the sum of δkij (k=1:5000). At last I wish to plot a contour map or hotmap to show the hisrogram. How does matlab realize these computation?
All the best!
Yeping Sun
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Azzi Abdelmalek
2016-8-6
Your question is not clear, post a short example, give a brief explanation on what you want, then post the expected result
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Image Analyst
2016-8-6
编辑:Image Analyst
2016-8-6
Try (the badly named) hist3() to construct a 2-D histogram:
% Create sample data.
numPoints = 5000;
x = -3 + 5 * rand(numPoints, 1);
y = -2.5 + 5.5 * rand(numPoints, 1);
% Now construct the histogram
xy = [x, y];
subplot(1,2,1);
hist3(xy, [37, 37]); % Plots bar chart.
subplot(1,2,2);
counts = hist3(xy, [37, 37]);
imshow(counts, []); % Show as image
colormap(hot(256));
colorbar;
axis on;
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/174827/image.png)
8 个评论
Image Analyst
2016-8-9
SOrry, I meant XData and YData, like this:
imshow(heatMap, 'XData', [-3 3], 'YData', [-3,3]);
but you should really use histogram2() and get the BinEdges property and use that instead of [-3, 3] because [-3,3] may not be correct if the histogram was automatic. However if you passed in the edges, then you know what the edges are and you can use that.
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Steven Lord
2016-8-6
Use the histogram2 function. The DisplayStyle 'tile' looks like it's exactly what you're looking for.
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Thorsten
2016-8-9
编辑:Thorsten
2016-8-9
Have a look at this:
D = dlmread('/Users/hansen/Downloads/PC1-PC2.txt');
Nbins = 37;
H = hist3(D, {linspace(-3,3,Nbins) linspace(-3,3,Nbins)});
imshow(H, [])
colormap hot
colorbar
The values of H are in the range [0, 196], and that is the range of the colorbar.
For a contour plot, use:
contour(H)
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