datatable.time.ymdt()¶
Create a time64 column out of year, month, day, hour, minute,
second and nanosecond (optional) components. Alternatively, instead
of year-month-day triple you can pass date argument of type date32.
This function performs range checks on month and day columns: if a
certain combination of year/month/day is not valid in the Gregorian
calendar, then an NA value will be produced in that row.
At the same time, there are no range checks for time components. Thus,
you can, for example, pass second=3600 instead of hour=1.
Parameters¶
FExpr[int]The year part of the resulting time64 column.
FExpr[int]The month part of the resulting time64 column. Values in this column must be in the 1 .. 12 range.
FExpr[int]The day part of the resulting time64 column. Values in this column
should be from 1 to last_day_of_month(year, month).
FExpr[int]The hour part of the resulting time64 column.
FExpr[int]The minute part of the resulting time64 column.
FExpr[int]The second part of the resulting time64 column.
FExpr[int]The nanosecond part of the resulting time64 column. This parameter is optional.
FExpr[time64]Examples¶
DT = dt.Frame(Y=[2001, 2003, 2005, 2020, 1960],
M=[1, 5, 4, 11, 8],
D=[12, 18, 30, 1, 14],
h=[7, 14, 22, 23, 12],
m=[15, 30, 0, 59, 0],
s=[12, 23, 0, 59, 27],
ns=[0, 0, 0, 999999000, 123000])
DT[:, [f[:], dt.time.ymdt(f.Y, f.M, f.D, f.h, f.m, f.s, f.ns)]]
| Y | M | D | h | m | s | ns | C0 | ||
|---|---|---|---|---|---|---|---|---|---|
| int32 | int32 | int32 | int32 | int32 | int32 | int32 | time64 | ||
| 0 | 2001 | 1 | 12 | 7 | 15 | 12 | 0 | 2001-01-12T07:15:12 | |
| 1 | 2003 | 5 | 18 | 14 | 30 | 23 | 0 | 2003-05-18T14:30:23 | |
| 2 | 2005 | 4 | 30 | 22 | 0 | 0 | 0 | 2005-04-30T22:00:00 | |
| 3 | 2020 | 11 | 1 | 23 | 59 | 59 | 999999000 | 2020-11-01T23:59:59.999999 | |
| 4 | 1960 | 8 | 14 | 12 | 0 | 27 | 123000 | 1960-08-14T12:00:27.000123 |