🥅 Catch specific ValueError on conversion to spatialpandas

On converting a vector geometry in a geopandas.GeoDataFrame (which could be wrapped in StreamWrapper) to a spatialpandas.GeoDataFrame, there could be several different types of `ValueError`s raised. This modifies the exception raising to target only the one specific ValueError caused by invalid geometry type. See logic at https://github.com/holoviz/spatialpandas/blame/v0.4.8/spatialpandas/geometry/base.py#L805-L849 for how the original ValueError is raised. Also clarified that MultiPoint, MultiLineString and MultiPolygon geometry types are supported.

zen3geo/datapipes/datashader.py

@@ -217,10 +217,14 @@ def __iter__(self) -> Iterator[xr.DataArray]:
                 columns = ["geometry"] if not hasattr(vector, "columns") else None
                 _vector = spatialpandas.GeoDataFrame(data=vector, columns=columns)
             except ValueError as e:
-                raise NotImplementedError(
-                    f"Unsupported geometry type(s) {set(vector.geom_type)} detected, "
-                    "only point, line or polygon vector geometry types are supported."
-                ) from e
+                if str(e) == "Unable to convert data argument to a GeometryList array":
+                    raise NotImplementedError(
+                        f"Unsupported geometry type(s) {set(vector.geom_type)} detected, "
+                        "only point, line or polygon vector geometry types "
+                        "(or their multi- equivalents) are supported."
+                    ) from e
+                else:
+                    raise e
 
             # Determine geometry type to know which rasterization method to use
             vector_dtype: spatialpandas.geometry.GeometryDtype = _vector.geometry.dtype