jorisvandenbossche commented on PR #12528:
URL: https://github.com/apache/arrow/pull/12528#issuecomment-1131369183
Lubridate:
```
> x <- ymd_hms(c("2015-03-29 01:50:00", "2015-03-29 01:59:59", "2015-03-29
03:00:00", "2015-03-29 03:10:00"), tz = "Europe/Brussels")
> x
[1] "2015-03-29 01:50:00 CET" "2015-03-29 01:59:59 CET"
[3] "2015-03-29 03:00:00 CEST" "2015-03-29 03:10:00 CEST"
> round_date(x, "16 mins")
[1] "2015-03-29 01:48:00 CET" "2015-03-29 03:04:00 CEST"
[3] "2015-03-29 03:00:00 CEST" "2015-03-29 03:16:00 CEST"
```
(I haven't yet tried to understand the logic behind those results, but so
none of the 4 values match with any of the values that this PR currently
returns ...)
In pandas:
```
x = pd.Series(pd.to_datetime(["2015-03-29 01:50:00", "2015-03-29 01:59:59",
"2015-03-29 03:00:00", "2015-03-29 03:10:00"]).tz_localize("Europe/Brussels"))
In [9]: x
Out[9]:
0 2015-03-29 01:50:00+01:00
1 2015-03-29 01:59:59+01:00
2 2015-03-29 03:00:00+02:00
3 2015-03-29 03:10:00+02:00
dtype: datetime64[ns, Europe/Brussels]
In [12]: x.dt.round("16min", nonexistent="NaT")
Out[12]:
0 2015-03-29 01:52:00+01:00
1 2015-03-29 01:52:00+01:00
2 NaT
3 2015-03-29 03:12:00+02:00
dtype: datetime64[ns, Europe/Brussels]
```
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