How to sort 3D data into bins?
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Hey,
I'm looking for some function like 'gridfunc' in the example beneath.
Datapoints:
x: torque = [12,13,20,30]
y: speed = [512,800,1300,1506]
z: z = [2,2,1,4]
Intervalls of my desired grid:
torque_intervall = [10,20,30]
speed_intervall = [500,1000,1500,2000]
The function im looking for:
output = gridfunc(torque,speed,z,torque_intervall,speed_intervall)
output(torque=10..20,speed=500..1000)= [z(1),z(2)]
Thanks for any suggestions!
采纳的回答
Walter Roberson
2016-7-5
For each variable, histc() and take the second output, or histcounts() and take the third output. This will be the bin number along that dimension. Now you can use
output = accumarray([firstbinnum(:), secondbinnum(:), thirdbinnum(:)], z(:), [], @(vals) {vals}, {});
The result will be a 3D cell array where the first dimension reflects the bin numbers along the first variable, the second dimension reflects the bin numbers along the second variable, the third dimension reflects the bin number along the third variable. Each element of the cell array will be a cell array of z values that fell into the combination of the three bins; this might be empty if nothing happened to fall into that voxel.
2 个评论
wkm42
2016-7-5
Ramesh Venkatasubramanian
2020-10-27
Can you explain your code with the above example?
更多回答（1 个）
Thorsten
2016-7-4
0 个投票
Try hist3.
3 个评论
wkm42
2016-7-4
Star Strider
2016-7-4
It’s going to be very difficult to create any sort of meaningful interpolation surface from your data:
torque = [12,13,20,30];
speed = [512,800,1300,1506];
z = [2,2,1,4];
figure(1)
stem3(torque, speed, z)
grid on
axis square
view([-60, 30])
xlabel('Torque')
ylabel('Speed')
zlabel('Z')
wkm42
2016-7-5
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