paleolimbot commented on code in PR #1050:
URL: https://github.com/apache/sedona-db/pull/1050#discussion_r3576234399
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python/sedonadb/python/sedonadb/dataframe.py:
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@@ -504,6 +504,49 @@ def drop(self, *cols: str) -> "DataFrame":
return DataFrame(self._ctx, self._impl.drop_columns(list(cols)))
+ def unnest(self, *columns: str) -> "DataFrame":
+ """Expand list/array column(s) so each element becomes its own row.
+
+ This is the relational form of `pandas`/`GeoPandas` `explode()`: for
+ each input row, a list-typed column is expanded to one output row per
+ element, with the other columns repeated. When several columns are
+ given, they are unnested in parallel (position by position).
+
+ A common spatial use is flattening a multi-geometry: `ST_Dump(geom)`
+ returns a list of parts, and `unnest()` turns each part into its own
+ row.
+
Review Comment:
It would be nice to show an example of this (I think you have to select() or
mutate() with `df.geometry.geo.dump()` and then unnest and then
`col("geometry")["parts"]` to get the struct field).
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