tabsdata.tableframe.selectors.datetime#
- datetime(time_unit: Literal['ns', 'us', 'ms'] | Collection[Literal['ns', 'us', 'ms']] | None = None, time_zone: str | timezone | Collection[str | timezone | None] | None = ('*', None)) SelectorProxy [source]#
Select all columns of datetime data type.
- Parameters:
time_unit – One or more of the supported time precision units: “ms”, “us”, or “ns”. If omitted, selects datetime columns with any time unit.
time_zone –
Specifies which time zone(s) to match: * Pass one or more valid time zone strings (as defined by the
zoneinfo module). To list all available zones, use:
import zoneinfo; zoneinfo.available_timezones().
Use None to select datetime columns with no time zone.
Use “*” to match any column with any time zone.
Example
>>> import tabsdata.tableframe as td_tf >>> from datetime import datetime, timedelta, timezone >>> >>> tf = td_tf.TableFrame({ ... "TimestampUTC": [ ... datetime(2024, 1, 1, 9, 0, tzinfo=timezone.utc), ... datetime(2024, 1, 2, 10, 0, tzinfo=timezone.utc), ... datetime(2024, 1, 3, 11, 0, tzinfo=timezone.utc), ... datetime(2024, 1, 4, 12, 0, tzinfo=timezone.utc), ... datetime(2024, 1, 5, 13, 0, tzinfo=timezone.utc), ... datetime(2024, 1, 6, 14, 0, tzinfo=timezone.utc), ... datetime(2024, 1, 7, 15, 0, tzinfo=timezone.utc), ... datetime(2024, 1, 8, 16, 0, tzinfo=timezone.utc), ... ], ... "Event": ["A", "B", "C", "D", "E", "F", "G", "H"], ... "TimestampLocal": [ ... datetime(2024, 1, 1, 10, 0, tzinfo=timezone(timedelta(hours=1))), ... datetime(2024, 1, 2, 11, 0, tzinfo=timezone(timedelta(hours=1))), ... datetime(2024, 1, 3, 12, 0, tzinfo=timezone(timedelta(hours=1))), ... datetime(2024, 1, 4, 13, 0, tzinfo=timezone(timedelta(hours=1))), ... datetime(2024, 1, 5, 14, 0, tzinfo=timezone(timedelta(hours=1))), ... datetime(2024, 1, 6, 15, 0, tzinfo=timezone(timedelta(hours=1))), ... datetime(2024, 1, 7, 16, 0, tzinfo=timezone(timedelta(hours=1))), ... datetime(2024, 1, 8, 17, 0, tzinfo=timezone(timedelta(hours=1))), ... ] ... })
Original: ┌───────────────────────────┬───────┬───────────────────────────┐ │ TimestampUTC ┆ Event ┆ TimestampLocal │ │ — ┆ — ┆ — │ │ datetime[μs, UTC] ┆ str ┆ datetime[μs, +01:00] │ ╞═══════════════════════════╪═══════╪═══════════════════════════╡ │ 2024-01-01 09:00:00+00:00 ┆ “A” ┆ 2024-01-01 10:00:00+01:00 │ │ 2024-01-02 10:00:00+00:00 ┆ “B” ┆ 2024-01-02 11:00:00+01:00 │ │ 2024-01-03 11:00:00+00:00 ┆ “C” ┆ 2024-01-03 12:00:00+01:00 │ │ 2024-01-04 12:00:00+00:00 ┆ “D” ┆ 2024-01-04 13:00:00+01:00 │ │ 2024-01-05 13:00:00+00:00 ┆ “E” ┆ 2024-01-05 14:00:00+01:00 │ │ 2024-01-06 14:00:00+00:00 ┆ “F” ┆ 2024-01-06 15:00:00+01:00 │ │ 2024-01-07 15:00:00+00:00 ┆ “G” ┆ 2024-01-07 16:00:00+01:00 │ │ 2024-01-08 16:00:00+00:00 ┆ “H” ┆ 2024-01-08 17:00:00+01:00 │ └───────────────────────────┴───────┴───────────────────────────┘
>>> tf.select(td_tf.selectors.datetime(time_zone="UTC"))
Selected: ┌───────────────────────────┐ │ TimestampUTC │ │ — │ │ datetime[μs, UTC] │ ╞═══════════════════════════╡ │ 2024-01-01 09:00:00+00:00 │ │ 2024-01-02 10:00:00+00:00 │ │ 2024-01-03 11:00:00+00:00 │ │ 2024-01-04 12:00:00+00:00 │ │ 2024-01-05 13:00:00+00:00 │ │ 2024-01-06 14:00:00+00:00 │ │ 2024-01-07 15:00:00+00:00 │ │ 2024-01-08 16:00:00+00:00 │ └───────────────────────────┘