polars.Expr.dt.nanosecond#

Expr.dt.nanosecond() → Expr[source]#

Extract nanoseconds from underlying DateTime representation.

Applies to Datetime columns.

Returns:

Expr: Expression of data type Int32.

Examples

>>> from datetime import datetime
>>> df = pl.DataFrame(
...     {
...         "datetime": [
...             datetime(1978, 1, 1, 1, 1, 1, 0),
...             datetime(2024, 10, 13, 5, 30, 14, 500_000),
...             datetime(2065, 1, 1, 10, 20, 30, 60_000),
...         ]
...     }
... )
>>> df.with_columns(
...     pl.col("datetime").dt.hour().alias("hour"),
...     pl.col("datetime").dt.minute().alias("minute"),
...     pl.col("datetime").dt.second().alias("second"),
...     pl.col("datetime").dt.nanosecond().alias("nanosecond"),
... )
shape: (3, 5)
┌─────────────────────────┬──────┬────────┬────────┬────────────┐
│ datetime                ┆ hour ┆ minute ┆ second ┆ nanosecond │
│ ---                     ┆ ---  ┆ ---    ┆ ---    ┆ ---        │
│ datetime[μs]            ┆ i8   ┆ i8     ┆ i8     ┆ i32        │
╞═════════════════════════╪══════╪════════╪════════╪════════════╡
│ 1978-01-01 01:01:01     ┆ 1    ┆ 1      ┆ 1      ┆ 0          │
│ 2024-10-13 05:30:14.500 ┆ 5    ┆ 30     ┆ 14     ┆ 500000000  │
│ 2065-01-01 10:20:30.060 ┆ 10   ┆ 20     ┆ 30     ┆ 60000000   │
└─────────────────────────┴──────┴────────┴────────┴────────────┘