polars.Expr.backward_fill#

Expr.backward_fill(limit: int | None = None) → Self[source]#

Fill missing values with the next to be seen values.

Parameters:

limit: The number of consecutive null values to backward fill.

See also

forward_fill
shift

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [1, 2, None],
...         "b": [4, None, 6],
...         "c": [None, None, 2],
...     }
... )
>>> df.select(pl.all().backward_fill())
shape: (3, 3)
┌──────┬─────┬─────┐
│ a    ┆ b   ┆ c   │
│ ---  ┆ --- ┆ --- │
│ i64  ┆ i64 ┆ i64 │
╞══════╪═════╪═════╡
│ 1    ┆ 4   ┆ 2   │
│ 2    ┆ 6   ┆ 2   │
│ null ┆ 6   ┆ 2   │
└──────┴─────┴─────┘
>>> df.select(pl.all().backward_fill(limit=1))
shape: (3, 3)
┌──────┬─────┬──────┐
│ a    ┆ b   ┆ c    │
│ ---  ┆ --- ┆ ---  │
│ i64  ┆ i64 ┆ i64  │
╞══════╪═════╪══════╡
│ 1    ┆ 4   ┆ null │
│ 2    ┆ 6   ┆ 2    │
│ null ┆ 6   ┆ 2    │
└──────┴─────┴──────┘