Why wont unique function eliminate duplicate rows in timetable?

I have a table of a large data set that contains many duplicate time and am trying to remove them. The documentation say that when using the "unique" function on a timetable, it will take into account the row times and row values independently. However, when I use this function, it returns the exact same datatable even though there are hundreds of duplicate times. I used dateshift to round off the times to the nearest second but this didn't help. In my code, "Date_time" is the name of the first column of the table which contains the datetime values.

RadarTable = readtable('RADAR_DATA.xlsx');
RadarTable.Date_time = dateshift(RadarTable.Date_time,'start','second','nearest');
RadarTimeTable = table2timetable(RadarTable);
RadarTableFiltered = unique(RadarTimeTable);

Answer 1

[David Hill]

RadarTable = readtable('RADAR_DATA.xlsx');
RadarTimeTable = table2timetable(RadarTable);
[~,idx]=unique(RadarTimeTable.time);%not sure what your time column is called.
RadarTimeTable=RadarTimeTable(idx,:);

[Nicholas Gaug]

Thank you!

[David Hill]

If the answer is acceptable, please accept it to close out your question.

[Kevin Johnson]

%David, I have a similar problem and this did not work for me. 
%The original timetable looks like this:

%tt=
19-Apr-2022 11:50:00    6.9388    6.9402    6.9354    6.9364    12.308     NaN  
19-Apr-2022 12:00:00    6.9365    6.9373    6.9346    6.9361    12.299     NaN  
19-Apr-2022 12:10:00    6.9361    6.9368    6.9344     6.935    11.226     NaN  

% Let's say for some reason I download the same data again into ttagain and 
% concatenate it with the original data, then attempt to remove the duplicates 
% as follows:

tt=[tt;ttagain];
[~,idx]=unique(tt);
newtt=tt(idx,:);

%the results look like this:

%newtt=
19-Apr-2022 11:50:00    6.9388    6.9402    6.9354    6.9364    12.308     NaN  
19-Apr-2022 11:50:00    6.9388    6.9402    6.9354    6.9364    12.308     NaN  
19-Apr-2022 12:00:00    6.9365    6.9373    6.9346    6.9361    12.299     NaN  
19-Apr-2022 12:00:00    6.9365    6.9373    6.9346    6.9361    12.299     NaN  
19-Apr-2022 12:10:00    6.9361    6.9368    6.9329    6.9338    11.966     NaN  
19-Apr-2022 12:10:00    6.9361    6.9368    6.9329    6.9338    11.966     NaN  

%Duplicate rows are not eliminated. Why? What alternate approach might I use?

%Thanks,
%Kevin