polars.int_ranges#

polars.int_ranges( start: int | IntoExprColumn, end: int | IntoExprColumn, step: int = 1, *, dtype: PolarsIntegerType = Int64, eager: Literal[False] = False, ) → Expr[source]#

polars.int_ranges( start: int | IntoExprColumn, end: int | IntoExprColumn, step: int = 1, *, dtype: PolarsIntegerType = Int64, eager: Literal[True], ) → Series

polars.int_ranges( start: int | IntoExprColumn, end: int | IntoExprColumn, step: int = 1, *, dtype: PolarsIntegerType = Int64, eager: bool, ) → Expr | Series

Generate a range of integers for each row of the input columns.

Parameters:

start: Lower bound of the range (inclusive).
end: Upper bound of the range (exclusive).
step: Step size of the range.
dtype: Integer data type of the ranges. Defaults to Int64.
eager: Evaluate immediately and return a Series. If set to False (default), return an expression instead.

Returns:

Expr or Series: Column of data type List(dtype).

See also

int_range: Generate a single range of integers.

Examples

>>> df = pl.DataFrame({"start": [1, -1], "end": [3, 2]})
>>> df.with_columns(pl.int_ranges("start", "end"))
shape: (2, 3)
┌───────┬─────┬────────────┐
│ start ┆ end ┆ int_range  │
│ ---   ┆ --- ┆ ---        │
│ i64   ┆ i64 ┆ list[i64]  │
╞═══════╪═════╪════════════╡
│ 1     ┆ 3   ┆ [1, 2]     │
│ -1    ┆ 2   ┆ [-1, 0, 1] │
└───────┴─────┴────────────┘