polars.duration#

polars.duration(
*,
weeks: Expr | str | int | None = None,
days: Expr | str | int | None = None,
hours: Expr | str | int | None = None,
minutes: Expr | str | int | None = None,
seconds: Expr | str | int | None = None,
milliseconds: Expr | str | int | None = None,
microseconds: Expr | str | int | None = None,
nanoseconds: Expr | str | int | None = None,
time_unit: TimeUnit | None = None,
) Expr[source]#

Create polars Duration from distinct time components.

Parameters:
weeks

Number of weeks.

days

Number of days.

hours

Number of hours.

minutes

Number of minutes.

seconds

Number of seconds.

milliseconds

Number of milliseconds.

microseconds

Number of microseconds.

nanoseconds

Number of nanoseconds.

time_unit{None, ‘us’, ‘ms’, ‘ns’}

Time unit of the resulting expression. If set to None (default), the time unit will be inferred from the other inputs: 'ns' if nanoseconds was specified, 'us' otherwise.

Returns:
Expr

Expression of data type Duration.

Notes

A duration represents a fixed amount of time. For example, pl.duration(days=1) means “exactly 24 hours”. By contrast, Expr.dt.offset_by('1d') means “1 calendar day”, which could sometimes be 23 hours or 25 hours depending on Daylight Savings Time. For non-fixed durations such as “calendar month” or “calendar day”, please use polars.Expr.dt.offset_by() instead.

Examples

>>> from datetime import datetime
>>> df = pl.DataFrame(
...     {
...         "dt": [datetime(2022, 1, 1), datetime(2022, 1, 2)],
...         "add": [1, 2],
...     }
... )
>>> df
shape: (2, 2)
┌─────────────────────┬─────┐
│ dt                  ┆ add │
│ ---                 ┆ --- │
│ datetime[μs]        ┆ i64 │
╞═════════════════════╪═════╡
│ 2022-01-01 00:00:00 ┆ 1   │
│ 2022-01-02 00:00:00 ┆ 2   │
└─────────────────────┴─────┘
>>> with pl.Config(tbl_width_chars=120):
...     df.select(
...         (pl.col("dt") + pl.duration(weeks="add")).alias("add_weeks"),
...         (pl.col("dt") + pl.duration(days="add")).alias("add_days"),
...         (pl.col("dt") + pl.duration(seconds="add")).alias("add_seconds"),
...         (pl.col("dt") + pl.duration(milliseconds="add")).alias("add_millis"),
...         (pl.col("dt") + pl.duration(hours="add")).alias("add_hours"),
...     )
shape: (2, 5)
┌─────────────────────┬─────────────────────┬─────────────────────┬─────────────────────────┬─────────────────────┐
│ add_weeks           ┆ add_days            ┆ add_seconds         ┆ add_millis              ┆ add_hours           │
│ ---                 ┆ ---                 ┆ ---                 ┆ ---                     ┆ ---                 │
│ datetime[μs]        ┆ datetime[μs]        ┆ datetime[μs]        ┆ datetime[μs]            ┆ datetime[μs]        │
╞═════════════════════╪═════════════════════╪═════════════════════╪═════════════════════════╪═════════════════════╡
│ 2022-01-08 00:00:00 ┆ 2022-01-02 00:00:00 ┆ 2022-01-01 00:00:01 ┆ 2022-01-01 00:00:00.001 ┆ 2022-01-01 01:00:00 │
│ 2022-01-16 00:00:00 ┆ 2022-01-04 00:00:00 ┆ 2022-01-02 00:00:02 ┆ 2022-01-02 00:00:00.002 ┆ 2022-01-02 02:00:00 │
└─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────────┴─────────────────────┘

If you need to add non-fixed durations, you should use polars.Expr.dt.offset_by() instead:

>>> with pl.Config(tbl_width_chars=120):
...     df.select(
...         add_calendar_days=pl.col("dt").dt.offset_by(
...             pl.format("{}d", pl.col("add"))
...         ),
...         add_calendar_months=pl.col("dt").dt.offset_by(
...             pl.format("{}mo", pl.col("add"))
...         ),
...         add_calendar_years=pl.col("dt").dt.offset_by(
...             pl.format("{}y", pl.col("add"))
...         ),
...     )
shape: (2, 3)
┌─────────────────────┬─────────────────────┬─────────────────────┐
│ add_calendar_days   ┆ add_calendar_months ┆ add_calendar_years  │
│ ---                 ┆ ---                 ┆ ---                 │
│ datetime[μs]        ┆ datetime[μs]        ┆ datetime[μs]        │
╞═════════════════════╪═════════════════════╪═════════════════════╡
│ 2022-01-02 00:00:00 ┆ 2022-02-01 00:00:00 ┆ 2023-01-01 00:00:00 │
│ 2022-01-04 00:00:00 ┆ 2022-03-02 00:00:00 ┆ 2024-01-02 00:00:00 │
└─────────────────────┴─────────────────────┴─────────────────────┘