🐛 Convert just the geometry column to spatialpandas.GeoDataFrame

Probably wanted to preserve all the columns when converting from geopandas.GeoDataFrame to spatialpandas.GeoDataFrame, but it doesn't work sometimes when the vector is wrapped by StreamWrapper. Decided to pass the vector.geometry GeoSeries as input instead (alternative was to do a view like vector.loc[:]). Partially reverts 6805418 in #35.

Wanted to add a unit test, but it was hard to get a minimal reproducible example. Only know that this helps with a complicated data pipeline reading vector GeoJSON data from a HTTP request.

zen3geo/datapipes/datashader.py

@@ -214,8 +214,7 @@ def __iter__(self) -> Iterator[xr.DataArray]:
             # Convert vector to spatialpandas format to allow datashader's
             # rasterization methods to work
             try:
-                columns = ["geometry"] if not hasattr(vector, "columns") else None
-                _vector = spatialpandas.GeoDataFrame(data=vector, columns=columns)
+                _vector = spatialpandas.GeoDataFrame(data=vector.geometry)
             except ValueError as e:
                 if str(e) == "Unable to convert data argument to a GeometryList array":
                     raise NotImplementedError(