Putting data into tree branches by path

Hello everyone,

not sure if its still too early, just friday or its really not as easy as I thought.

I have 2 lists of data, one containing groups of data and one containing the path indexes I want each item to go into:

So how do I turn both of those into something like:

{0} N=72

{1} N=50

etc. (numbers are just examples)

Thanks for your help, I have been trying most of the Tree components, including obscure ones, but just cant seem to figure it out.

ps: just noticed a bug, that you can internalise a list of groups, but you cant copy it over into a new file - the groups just end up being empty - hence the modified attached file. Also noticed that the group parameter component doesn't even let you internalise. Why? I'll post in Bugs..

Attachments:

data_tree_put_into_branches_by_path.gh, 6 KB

Replies to This Discussion

Permalink Reply by Joseph Oster on March 24, 2017 at 6:48am

This pattern is so handy I created a placeholder thread for it:

Set Member Index Example (MIndex)
http://www.grasshopper3d.com/forum/topics/set-member-index-example-...

Attachments:

data_tree_put_into_branches_by_path_2017Mar24a.gh, 10 KB

Permalink Reply by Armin Seltz on March 24, 2017 at 7:37am

Thanks so much!

Yeah, I always somehow look past the Sets section. And thanks for creating the example patch, I think it would be nice to have more of those "common patterns" somewhere. Also I think the help popups for each component could be much improved with examples. Right now they just state the obvious. I like how vvvv handles it, where each component has a whole example file linked to it, with different scenarios and explainations.

Permalink Reply by Andrew Heumann on April 10, 2017 at 5:29am

tree frog "assign paths" does exactly this. (and faster than native component methods for large sets of data!) http://www.food4rhino.com/app/human

Permalink Reply by Armin Seltz on April 10, 2017 at 1:07pm

Oh nice, I will check it out. Not sure when a "large" dataset starts, but surely helpful in the future. My datasets for this are around 500 - 5000 items. Human is one of those plugins I keep coming back to that solves something super specific I am after :)

Btw, only just noticed why its called H(e)uman(n) !

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