polars.DataFrame.shift_and_fill¶

DataFrame.shift_and_fill(periods: int, fill_value: Union[int, str, float]) → polars.internals.frame.DF¶

Shift the values by a given period and fill the parts that will be empty due to this operation with the result of the fill_value expression.

Parameters

periods: Number of places to shift (may be negative).
fill_value: fill None values with this value.

Examples

>>> df = pl.DataFrame(
...     {
...         "foo": [1, 2, 3],
...         "bar": [6, 7, 8],
...         "ham": ["a", "b", "c"],
...     }
... )
>>> df.shift_and_fill(periods=1, fill_value=0)
shape: (3, 3)
┌─────┬─────┬─────┐
│ foo ┆ bar ┆ ham │
│ --- ┆ --- ┆ --- │
│ i64 ┆ i64 ┆ str │
╞═════╪═════╪═════╡
│ 0   ┆ 0   ┆ 0   │
├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
│ 1   ┆ 6   ┆ a   │
├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
│ 2   ┆ 7   ┆ b   │
└─────┴─────┴─────┘

polars.DataFrame.shift polars.DataFrame.shrink_to_fit