polars.date#

polars.date(year: Expr | str | int, month: Expr | str | int, day: Expr | str | int) Expr[source]#

Create a Polars literal expression of type Date.

Parameters:
year

column or literal.

month

column or literal, ranging from 1-12.

day

column or literal, ranging from 1-31.

Returns:
Expr

Expression of data type Date.

Examples

>>> df = pl.DataFrame(
...     {
...         "month": [1, 2, 3],
...         "day": [4, 5, 6],
...     }
... )
>>> df.with_columns(pl.date(2024, pl.col("month"), pl.col("day")))
shape: (3, 3)
┌───────┬─────┬────────────┐
│ month ┆ day ┆ date       │
│ ---   ┆ --- ┆ ---        │
│ i64   ┆ i64 ┆ date       │
╞═══════╪═════╪════════════╡
│ 1     ┆ 4   ┆ 2024-01-04 │
│ 2     ┆ 5   ┆ 2024-02-05 │
│ 3     ┆ 6   ┆ 2024-03-06 │
└───────┴─────┴────────────┘