dask_geopandas.GeoSeries.explode

GeoSeries.explode(ignore_index=False, index_parts=None)

Explode multi-part geometries into multiple single geometries.

This docstring was copied from geopandas.geoseries.GeoSeries.explode.

Some inconsistencies with the Dask version may exist.

Single rows can become multiple rows. This is analogous to PostGIS’s ST_Dump(). The ‘path’ index is the second level of the returned MultiIndex

Parameters:

ignore_indexbool, default False

If True, the resulting index will be labelled 0, 1, …, n - 1, ignoring index_parts.

index_partsboolean, default False

If True, the resulting index will be a multi-index (original index with an additional level indicating the multiple geometries: a new zero-based index for each single part geometry per multi-part geometry).

Returns:

A GeoSeries with a MultiIndex. The levels of the MultiIndex are the

original index and a zero-based integer index that counts the

number of single geometries within a multi-part geometry.

See also

GeoDataFrame.explode

Examples

>>> from shapely.geometry import MultiPoint
>>> s = geopandas.GeoSeries(
...     [MultiPoint([(0, 0), (1, 1)]), MultiPoint([(2, 2), (3, 3), (4, 4)])]
... )
>>> s
0           MULTIPOINT ((0 0), (1 1))
1    MULTIPOINT ((2 2), (3 3), (4 4))
dtype: geometry

>>> s.explode(index_parts=True)
0  0    POINT (0 0)
   1    POINT (1 1)
1  0    POINT (2 2)
   1    POINT (3 3)
   2    POINT (4 4)
dtype: geometry