How to change HH:mm:ss:SSS to HH:mm:ss.SSS for a column?
42 views (last 30 days)
Show older comments
Hi, I'm collecting a data .txt file with multiple columns. One column is time but the issue is that the software I use exports the time data as HH:mm:ss:SSS (Note the last semicolon should be a period) and theres around 70,000 data points. I'm using readtable to create graphs. My question is: How to convert each data point of time in the column from HH:mm:ss:SSS to HH:mm:ss.SSS? Thank you for your help and insight.
2 Comments
Walter Roberson
on 20 Apr 2023
Could you confirm that the data is currently read in as cell array of character vectors stored in the table?
Accepted Answer
Walter Roberson
on 21 Apr 2023
Moved: Walter Roberson
on 21 Apr 2023
time = {'01:18:34:754'; '13:04:19:999'}
converted = duration(string(datetime(time, 'InputFormat', 'HH:mm:ss:SSS', 'Format', 'HH:mm:ss.SSS')), 'format', 'hh:mm:ss.SSS')
2 Comments
Walter Roberson
on 21 Apr 2023
Unfortunately, duration() will only accept a small number of InputFormat, so the conversion cannot be direct.
Walter Roberson
on 21 Apr 2023
time = {'01:18:34:754'; '13:04:19:999'}
temp = char(time);
temp(:,end-3) = '.';
converted = duration(cellstr(temp), 'Format', 'hh:mm:ss.SSS')
More Answers (2)
chicken vector
on 20 Apr 2023
Edited: chicken vector
on 20 Apr 2023
if the time format is imported from the .txt as a string, you can do the following using a for loop for every element:
time = '01:18:34:754';
semicolons = strfind(time, ':');
time(semicolons(end)) = '.'
time =
'01:18:34.754'
To speed things up, since the format is standardsed, you can also do directly:
time(9) = '.';
Otherwise you need to specify what format are you working with.
2 Comments
Walter Roberson
on 21 Apr 2023
This needs a bit of modification for entries coming from a table, as those would either be a cell array of character vectors (more likely) or a string array (only if specifically configured for.)
chicken vector
on 21 Apr 2023
Edited: chicken vector
on 21 Apr 2023
You are right, I was trying not to speculate too much given the little information provided, but assuming a cell array is definetly the right choice.
See Also
Categories
Find more on Data Type Conversion in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!