In many engineering and measurement applications, the time is counted from 01-24 to indicate the end of a measurement or integration period.
This issue is to propose that pandas IO functions support importing such timestamps from CSV, Excel etc. out of the box and furthermore, Series can have a flag indicating the reference interval for integration or aggregation fo values (e.g. averaging).
See also: page 9, clause 5.3 of ISO 8601 http://www.probabilityof.com/iso/8601.pdf "Time is the time of the recording in the format of hh:mm. Midnight should be referenced as 24 h in the previous day, not 0 h in the next day;
or: IEC 61724, clause 6.1b, page6 https://law.resource.org/pub/in/bis/S05/is.iec.61724.1998.pdf
Comment From: dacoex
See also:
https://github.com/pydata/pandas/issues/4332
https://github.com/pydata/pandas/pull/6934
Comment From: MarcoGorelli
there's been no interest in this in nearly a decade, and to be honest I don't really understand the request. clear input and expected output would help
closing for now then, if there's a need for this someone can open a new issue