Try this —
Input_data = ['9/5/2021 11:30:00'
'9/5/2021 11:30:00'
'9/5/2021 11:30:00'
'9/5/2021 11:30:00'
'9/5/2021 11:30:00'
'9/5/2021 11:31:00'
'9/5/2021 11:31:00'
'9/5/2021 11:31:00'
'9/5/2021 11:32:00'
'9/5/2021 11:32:00'
'9/5/2021 11:32:00'
'9/5/2021 11:32:00'];
TV = datetime(Input_data, 'InputFormat','MM/dd/yyyy HH:mm:ss'); % Convert To 'datetime' Array
[TVu,~,Idx] = unique(TV,'stable'); % Unique Values In Original Order
Counts = accumarray(Idx,1); % Count Unique Occurrences
for k = 1:numel(Counts)
ss{k,:} = (0:Counts(k)-1).'*60/Counts(k); % Create 'seconds' Column Vector
end
cs = seconds(cell2mat(ss)); % Convert Numeric Values To 'duration' 'seconds'
TV = TV + cs % Add 'seconds' To Original Vector To Produce Desired Result
I am not certain that this is robust enough to work with any ‘Input_data’ vector, however it works with the example provided.
(To understand how it works, remove the ending semicolons to see the interim results.)
.
