polars.Expr.dt.month#

Expr.dt.month() → Expr[source]#

Extract month from underlying Date representation.

Applies to Date and Datetime columns.

Returns the month number starting from 1. The return value ranges from 1 to 12.

Returns:

Expr: Expression of data type UInt32.

Examples

>>> from datetime import date
>>> df = pl.DataFrame(
...     {"date": [date(2001, 1, 1), date(2001, 6, 30), date(2001, 12, 27)]}
... )
>>> df.with_columns(pl.col("date").dt.month().alias("month"))
shape: (3, 2)
┌────────────┬───────┐
│ date       ┆ month │
│ ---        ┆ ---   │
│ date       ┆ u32   │
╞════════════╪═══════╡
│ 2001-01-01 ┆ 1     │
│ 2001-06-30 ┆ 6     │
│ 2001-12-27 ┆ 12    │
└────────────┴───────┘