Retrieves the nanosecond for a datetime column.
Examples:
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14 | >>> import datetime
>>> import daft
>>> from daft.functions import nanosecond
>>> df = daft.from_pydict(
... {
... "datetime": [
... datetime.datetime(1978, 1, 1, 1, 1, 1, 0),
... datetime.datetime(2024, 10, 13, 5, 30, 14, 500_000),
... datetime.datetime(2065, 1, 1, 10, 20, 30, 60_000),
... ]
... }
... )
>>>
>>> df.select(nanosecond(df["datetime"])).show()
|
╭───────────╮
│ datetime │
│ --- │
│ UInt32 │
╞═══════════╡
│ 0 │
├╌╌╌╌╌╌╌╌╌╌╌┤
│ 500000000 │
├╌╌╌╌╌╌╌╌╌╌╌┤
│ 60000000 │
╰───────────╯
(Showing first 3 of 3 rows)
Source code in daft/functions/datetime.py
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311 | def nanosecond(expr: Expression) -> Expression:
"""Retrieves the nanosecond for a datetime column.
Examples:
>>> import datetime
>>> import daft
>>> from daft.functions import nanosecond
>>> df = daft.from_pydict(
... {
... "datetime": [
... datetime.datetime(1978, 1, 1, 1, 1, 1, 0),
... datetime.datetime(2024, 10, 13, 5, 30, 14, 500_000),
... datetime.datetime(2065, 1, 1, 10, 20, 30, 60_000),
... ]
... }
... )
>>>
>>> df.select(nanosecond(df["datetime"])).show()
╭───────────╮
│ datetime │
│ --- │
│ UInt32 │
╞═══════════╡
│ 0 │
├╌╌╌╌╌╌╌╌╌╌╌┤
│ 500000000 │
├╌╌╌╌╌╌╌╌╌╌╌┤
│ 60000000 │
╰───────────╯
<BLANKLINE>
(Showing first 3 of 3 rows)
"""
return Expression._call_builtin_scalar_fn("nanosecond", expr)
|