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Import timestamps with alternating date formats

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Hello!
I have .csv data files that contain gps coordinates with timestamps. I want to import these data files into MATLAB. The problem I am having is the timestamp has an alternating date format, or at least matlab import is treating it as such. Timestamps look like:
Timestamp
16:15:29
16:15:29.500000
16:15:30
16:15:30.500000
etc.
Using import tool I can set a custom date format to HH:mm:ss.SSSSSS but this doesn't work for the timestamps that don't include the .SSSSSS
The import tool assigns NaT to those timestamps. Any ideas?
  1 Comment
Stephen23
Stephen23 on 22 Jun 2024
Edited: Stephen23 on 22 Jun 2024
If there are no date units then DURATION objects may be more suitable than DATETIME:
T = {'16:15:29'; '16:15:29.500000'; '16:15:30'; '16:15:30.500000'}
T = 4x1 cell array
{'16:15:29' } {'16:15:29.500000'} {'16:15:30' } {'16:15:30.500000'}
M = str2double(split(T,':'));
D = duration(M, 'Format','hh:mm:ss.SSSS')
D = 4x1 duration array
16:15:29.0000 16:15:29.5000 16:15:30.0000 16:15:30.5000

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Accepted Answer

Star Strider
Star Strider on 21 Jun 2024
It does not actually appear to be alternating, although the trailing zeros on some may indicate that the time is not exactly those values and instead something close to them (perhaps an additional second).
This is a bit more convoluted than I’d like it to be, however itt has the virtue of working —
Timestamp = {'16:15:29'
'16:15:29.500000'
'16:15:30'
'16:15:30.500000'}
Timestamp = 4x1 cell array
{'16:15:29' } {'16:15:29.500000'} {'16:15:30' } {'16:15:30.500000'}
TimestampMtx = str2double(split(Timestamp,':')) % Convert To Numeric Array
TimestampMtx = 4x3
16.0000 15.0000 29.0000 16.0000 15.0000 29.5000 16.0000 15.0000 30.0000 16.0000 15.0000 30.5000
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Timestamps = compose('%2d:%2d:%4.1f',TimestampMtx) % Convert To Cell Array Of Strings
Timestamps = 4x1 cell array
{'16:15:29.0'} {'16:15:29.5'} {'16:15:30.0'} {'16:15:30.5'}
Timestamp2 = datetime(Timestamps, 'InputFormat','HH:mm:ss.S', 'Format','HH:mm:ss.S') % 'datetime' Array
Timestamp2 = 4x1 datetime array
16:15:29.0 16:15:29.5 16:15:30.0 16:15:30.5
.
  3 Comments
Stephen23
Stephen23 on 22 Jun 2024
Edited: Stephen23 on 22 Jun 2024
Without the intermediate COMPOSE:
T = {'16:15:29'; '16:15:29.500000'; '16:15:30'; '16:15:30.500000'}
T = 4x1 cell array
{'16:15:29' } {'16:15:29.500000'} {'16:15:30' } {'16:15:30.500000'}
M = str2double(split(T,':'));
D = datetime(0,0,0,M(:,1),M(:,2),M(:,3), 'Format','HH:mm:ss.SSSS')
D = 4x1 datetime array
16:15:29.0000 16:15:29.5000 16:15:30.0000 16:15:30.5000

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More Answers (1)

Steven Lord
Steven Lord on 22 Jun 2024 at 16:50
A different approach is to convert all the data with the input format of the first entry in the list, then convert all the data that resulted in NaT values in the datetime array using a different input format or formats.
Timestamp = {'16:15:29'
'16:15:29.500000'
'16:15:30'
'16:15:30.500000'};
format1 = 'HH:mm:ss';
dt = datetime(Timestamp, InputFormat = format1, Format = format1)
dt = 4x1 datetime array
16:15:29 NaT 16:15:30 NaT
This shows that entries 2 and 4 in Timestamp were not compatible with the input format in format1. So let's try converting those with a slightly different input format.
format2 = 'HH:mm:ss.SSSSSS';
dt(isnat(dt)) = datetime(Timestamp(isnat(dt)), InputFormat = format2)
dt = 4x1 datetime array
16:15:29 16:15:29 16:15:30 16:15:30
To confirm that entries 2 and 4 in dt have the fractional seconds:
dt.Format = format2
dt = 4x1 datetime array
16:15:29.000000 16:15:29.500000 16:15:30.000000 16:15:30.500000
If dt had still contained any NaT values I could have repeated this process with a third, fourth, etc. input format.
  1 Comment
Stephen23
Stephen23 on 22 Jun 2024 at 18:14
This topic has come up a few times before. Perhaps a useful enhancement would be to let DATETIME's "InputFormat" value be a string array or cell array of chars, and which provides exactly this behavior.

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