polars.Expr.list.drop_nulls

Expr.list.drop_nulls() → Expr

Drop all null values in the list.

The original order of the remaining elements is preserved.

Examples

>>> df = pl.DataFrame({"values": [[None, 1, None, 2], [None], [3, 4]]})
>>> df.with_columns(drop_nulls=pl.col("values").list.drop_nulls())
shape: (3, 2)
┌────────────────┬────────────┐
│ values         ┆ drop_nulls │
│ ---            ┆ ---        │
│ list[i64]      ┆ list[i64]  │
╞════════════════╪════════════╡
│ [null, 1, … 2] ┆ [1, 2]     │
│ [null]         ┆ []         │
│ [3, 4]         ┆ [3, 4]     │
└────────────────┴────────────┘