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.select(pl.col("date").dt.is_leap_year())
shape: (3, 1)
┌───────┐
│ date  │
│ ---   │
│ bool  │
╞═══════╡
│ true  │
│ false │
│ false │
└───────┘