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Wes McKinney commented on ARROW-270: ------------------------------------ Some other systems define an absolute "timedelta" type consisting of a particular number of days, seconds, milliseconds, microseconds, etc. The unit is fixed, and the timedelta is stored in int64 format {code} In [9]: import pandas as pd In [10]: ts = pd.Timedelta(1000, unit='s') In [11]: ts Out[11]: Timedelta('0 days 00:16:40') In [12]: ts.seconds Out[12]: 1000 In [13]: ts.asm8 # Internal representation Out[13]: numpy.timedelta64(1000000000000,'ns') {code} What do you think about this kind of data (it would share the same absolute time units as timestamp, basically)? > [Format] Define more generic Interval logical type > -------------------------------------------------- > > Key: ARROW-270 > URL: https://issues.apache.org/jira/browse/ARROW-270 > Project: Apache Arrow > Issue Type: Improvement > Reporter: Wes McKinney > > Per discussion in > https://github.com/apache/arrow/commit/e7e399db5fc6913e67426514279f81766a0778d2#commitcomment-18711366, > we can create an {{Interval}} type with a unit to be more general. -- This message was sent by Atlassian JIRA (v6.3.4#6332)