GeoDataFrame.explode

Explode multi-part geometries into separate rows. Attribute columns remain alongside every geometry part. The operation uses Sedona’s native ST_Dump expression and remains distributed. Preserving row and part order while rebuilding the distributed index requires a global sort and shuffle.

Signature

explode(
    column=None,
    ignore_index: bool = False,
    index_parts: bool = False,
    **kwargs,
) -> GeoDataFrame

Parameters

column label

default:"None"

Column to explode. None selects the active geometry column. As in GeoPandas, selecting any geometry-typed column explodes the active geometry column; selecting a non-geometry column delegates to pandas-on-Spark.

bool

default:"False"

If True, label the result index 0, 1, …, n - 1 and ignore index_parts.

bool

default:"False"

If True, append a zero-based index level identifying each geometry produced from an input row. Ignored when exploding a non-geometry column, matching GeoPandas.

Additional keyword arguments are forwarded when exploding a non-geometry column.

Returns

GeoDataFrame

A distributed GeoDataFrame with one row per geometry part.

Examples

>>> from sedona.spark.geopandas import GeoDataFrame
>>> from shapely.geometry import MultiPoint
>>> gdf = GeoDataFrame(
...     {
...         "name": ["a", "b"],
...         "geometry": [
...             MultiPoint([(0, 0), (1, 1)]),
...             MultiPoint([(2, 2), (3, 3)]),
...         ],
...     }
... )
>>> gdf.explode(index_parts=True)
    name     geometry
0 0    a  POINT (0 0)
  1    a  POINT (1 1)
1 0    b  POINT (2 2)
  1    b  POINT (3 3)

​Signature

​Parameters

​Returns

​Examples

Signature

Parameters

Returns

Examples