A data processing problem

Hi guys.
I've got another data processing problema . Hope to get some ideas from you.
I'm dealing with a table and it looks like Table I. I've shortened it a bit to show here. Now, based on Table I, I'm going to get the first row when a BSid first appeared and the last row when the same BSid lastly appeared. For example, I'd like to obtain a table which looks like Table II. I've been thinking about this for a while but unfortunately, no good idea has come into my mind.
Any good idea is welcom and thank you in advance.
Table I:
ID Time BSid
59 08:47:31 19
59 08:47:32 19
59 08:47:33 19
59 08:47:34 19
59 08:47:35 22
59 08:47:36 22
59 08:47:37 22
59 08:47:38 22
59 08:47:39 22
59 08:47:45 24
59 08:47:46 24
59 08:47:47 24
59 08:47:48 24
59 08:47:49 24
59 08:47:50 22
59 08:47:51 22
59 08:47:52 22
59 08:48:00 22
59 08:48:01 24
59 08:48:02 24
59 08:48:03 24
59 08:48:04 24
59 08:48:05 24
Table II:
ID Time BSid
59 08:47:31 19
59 08:47:34 19
59 08:47:35 22
59 08:47:39 22
59 08:47:45 24
59 08:47:49 24
59 08:47:50 22
59 08:48:00 22
59 08:48:01 24
59 08:48:05 24

 Accepted Answer

Adam Danz
Adam Danz on 11 Nov 2019
Edited: Adam Danz on 12 Nov 2019
% Determine where BSid values change
deltaBSid = diff(I.BSid)~=0;
% Create a logical vector identifying the first and last row of each
% consecutive BSid
rowIdx =[true; deltaBSid] | [deltaBSid; true];
% Extract desired rows from table
I(rowIdx,:)

3 Comments

Tested with fake table:
I = table([ 19 19 19 19 22 22 22 22 22 22 24 24 24 24 24 24 22 22 22 22 24 24 24 24]','VariableNames', {'BSid'});
Really appreciate your idea. It worked perfectly. Thank you for helping me out.
Glad I could help!

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R2018a

Asked:

on 11 Nov 2019

Commented:

on 12 Nov 2019

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