polars.DataFrame.unnest
-
Decompose struct columns into separate columns for each of their fields.
The new columns will be inserted into the dataframe at the location of the struct column.
If no columns are provided, all struct columns are unnested.
- Parameters:
-
- columns
-
Name of the struct column(s) that should be unnested.
- *more_columns
-
Additional columns to unnest, specified as positional arguments.
- separator
-
Rename output column names as combination of the struct column name, name separator and field name.
Examples
>>> df = pl.DataFrame( ... { ... "before": ["foo", "bar"], ... "t_a": [1, 2], ... "t_b": ["a", "b"], ... "t_c": [True, None], ... "t_d": [[1, 2], [3]], ... "after": ["baz", "womp"], ... } ... ).select("before", pl.struct(pl.col("^t_.$")).alias("t_struct"), "after") >>> df shape: (2, 3) ┌────────┬─────────────────────┬───────┐ │ before ┆ t_struct ┆ after │ │ --- ┆ --- ┆ --- │ │ str ┆ struct[4] ┆ str │ ╞════════╪═════════════════════╪═══════╡ │ foo ┆ {1,"a",true,[1, 2]} ┆ baz │ │ bar ┆ {2,"b",null,[3]} ┆ womp │ └────────┴─────────────────────┴───────┘ >>> df.unnest("t_struct") shape: (2, 6) ┌────────┬─────┬─────┬──────┬───────────┬───────┐ │ before ┆ t_a ┆ t_b ┆ t_c ┆ t_d ┆ after │ │ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │ │ str ┆ i64 ┆ str ┆ bool ┆ list[i64] ┆ str │ ╞════════╪═════╪═════╪══════╪═══════════╪═══════╡ │ foo ┆ 1 ┆ a ┆ true ┆ [1, 2] ┆ baz │ │ bar ┆ 2 ┆ b ┆ null ┆ [3] ┆ womp │ └────────┴─────┴─────┴──────┴───────────┴───────┘Unnest all struct columns by calling without arguments:
>>> df.unnest() shape: (2, 6) ┌────────┬─────┬─────┬──────┬───────────┬───────┐ │ before ┆ t_a ┆ t_b ┆ t_c ┆ t_d ┆ after │ │ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │ │ str ┆ i64 ┆ str ┆ bool ┆ list[i64] ┆ str │ ╞════════╪═════╪═════╪══════╪═══════════╪═══════╡ │ foo ┆ 1 ┆ a ┆ true ┆ [1, 2] ┆ baz │ │ bar ┆ 2 ┆ b ┆ null ┆ [3] ┆ womp │ └────────┴─────┴─────┴──────┴───────────┴───────┘
>>> df = pl.DataFrame( ... { ... "before": ["foo", "bar"], ... "t_a": [1, 2], ... "t_b": ["a", "b"], ... "t_c": [True, None], ... "t_d": [[1, 2], [3]], ... "after": ["baz", "womp"], ... } ... ).select( ... "before", ... pl.struct(pl.col("^t_.$").name.map(lambda t: t[2:])).alias("t"), ... "after", ... ) >>> df.unnest("t", separator="::") shape: (2, 6) ┌────────┬──────┬──────┬──────┬───────────┬───────┐ │ before ┆ t::a ┆ t::b ┆ t::c ┆ t::d ┆ after │ │ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │ │ str ┆ i64 ┆ str ┆ bool ┆ list[i64] ┆ str │ ╞════════╪══════╪══════╪══════╪═══════════╪═══════╡ │ foo ┆ 1 ┆ a ┆ true ┆ [1, 2] ┆ baz │ │ bar ┆ 2 ┆ b ┆ null ┆ [3] ┆ womp │ └────────┴──────┴──────┴──────┴───────────┴───────┘
DataFrame.unnest(
columns: ColumnNameOrSelector | Collection[ColumnNameOrSelector] | None = None,
*more_columns: ColumnNameOrSelector,
separator: str | None = None,
) → DataFrame
© 2020 Ritchie Vink
© 2022 Polars contributors
Licensed under the MIT License.
https://docs.pola.rs/api/python/stable/reference/dataframe/api/polars.DataFrame.unnest.html