polars.Expr.dt.is_leap_year#

Expr.dt.is_leap_year() → Expr[source]#

Determine whether the year of the underlying date is a leap year.

Applies to Date and Datetime columns.

Returns:

Expr: Expression of data type Boolean.

Examples

>>> from datetime import date
>>> df = pl.DataFrame(
...     {"date": [date(2000, 1, 1), date(2001, 1, 1), date(2002, 1, 1)]}
... )
>>> df.with_columns(
...     leap_year=pl.col("date").dt.is_leap_year(),
... )
shape: (3, 2)
┌────────────┬───────────┐
│ date       ┆ leap_year │
│ ---        ┆ ---       │
│ date       ┆ bool      │
╞════════════╪═══════════╡
│ 2000-01-01 ┆ true      │
│ 2001-01-01 ┆ false     │
│ 2002-01-01 ┆ false     │
└────────────┴───────────┘