polars.Expr.dt.quarter#

Expr.dt.quarter() → Expr[source]#

Extract quarter from underlying Date representation.

Applies to Date and Datetime columns.

Returns the quarter ranging from 1 to 4.

Returns:

Expr: Expression of data type Int8.

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.quarter().alias("quarter"))
shape: (3, 2)
┌────────────┬─────────┐
│ date       ┆ quarter │
│ ---        ┆ ---     │
│ date       ┆ i8      │
╞════════════╪═════════╡
│ 2001-01-01 ┆ 1       │
│ 2001-06-30 ┆ 2       │
│ 2001-12-27 ┆ 4       │
└────────────┴─────────┘