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 How to spatially reduce a dataset?		  New Topic  Reply to Topic
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rdeleu

2 Posts
Posted - 12/19/2023 :  10:30:35 AM  Show Profile  Edit Topic  Reply with Quote  View user's IP address  Delete Topic
I have a dataset with XYXY vectors. The density of the vectors is way too high in some areas of the profile (see screenshot) which makes it unreadable.


I tried reducing my dataset using a random distribution, it is better, but the density remains too high near the bottom of the profile and becomes too low in the other parts:


I need to find a way to reduce the dataset differently depending on the density, so that the number of vectors is evenly distributed throughout the profile (along X and Y axis). Is there any way to do that? I tried to do this upstream in the Paraview software from where the data come from, but no success.

Thanks!

YimingChen

1651 Posts
Posted - 12/19/2023 :  12:28:55 PM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
Please check the attached project file. One way is to use the 1D Binning App to categorize each vector according to its XY coordinates.
https://www.originlab.com/FileExchange/details.aspx?fid=489

Next, group the arrows and compute the average value for each location group to obtain evenly spaced data along the X and Y axes.


https://my.originlab.com/ftp/forum_and_kbase/Images/EvenlySpaceXY.opju

James
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rdeleu

2 Posts
Posted - 12/21/2023 :  08:37:12 AM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
Many thanks YimingChen! I didn't know anything about binning.

Turns out my version of OriginPro does not support the 1D Binnning app, but I learned that it has a 2D binning already included! So after a few tries, I ended up using this to compute average values of X and Y velocities for each 2D XY classes. After a few tweaks with the method, it worked like a charm, here is the result:
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