polars.arange#

polars.arange(low: int | Expr | Series, high: int | Expr | Series, step: int = 1, *, eager: Literal[False]) → Expr[source]#
polars.arange(low: int | Expr | Series, high: int | Expr | Series, step: int = 1, *, eager: Literal[True], dtype: PolarsDataType | None = None) → Series
polars.arange(low: int | Expr | Series, high: int | Expr | Series, step: int = 1, *, eager: bool = False, dtype: PolarsDataType | None = None) → Expr | Series

Create a range expression (or Series).

This can be used in a select, with_column etc. Be sure that the resulting range size is equal to the length of the DataFrame you are collecting.

Parameters:
low

Lower bound of range.

high

Upper bound of range.

step

Step size of the range.

eager

Evaluate immediately and return a Series. If set to False (default), return an expression instead.

dtype

Apply an explicit integer dtype to the resulting expression (default is Int64).

Examples

>>> df.lazy().filter(pl.col("foo") < pl.arange(0, 100)).collect()