Count occurrence of unique categories in time blocks

Cat=categorical({'A';'B';'C';'A';'B'});
Date={'01-Jan-1000 00:00:00';'01-Jan-1000 00:00:01';'01-Jan-1000 00:01:06';'01-Jan-1000 00:02:10';'01-Jan-1000 00:02:10'};
T=table(Cat,Date)

I have a table in the above format, except that the Date column is datetime and the Cat column is categorical (not sure how to put that into code for this forum, sorry).

I want to count the number of unique occurrences of A, B, C etc within a time block of 2min, starting from a certain time.

eg. Starting at 00:00:00 output should be: 0-1min A=1, B=1, C=1 and 2-3min A=1, B=1 ..whereas starting at 00:02:05 output should be: 0-1min B=1, C=1

I know I can use C=unique(T.Cat) to list the unique categories. I can also use:

TimeStep = datetime('1-Jan-1000 00:00:00') + minutes(0:29)'
[~,bin] = ismember(dateshift(T.Date,'start','minute'),TimeStep)
CountWindow = histcounts(bin,1:31)'
[CountWindowT]=table(TimeStep,CountWindow)

...to get a table of the TOTAL occurrences for the first half hour, split by minute.

How do I combine these to get an output that is split by 2min, and also the number of each unique category within the 2min blocks rather than the total count?

Answer 1

[UQFG]

Never mind - got around the issue.