Comments (1)
I am not aware of a better approach to speed this up. Certainly creating spatialpandas
geometry arrays includes some potentially slow copying of data and iterating over sequences, which could be better.
There is some hope for improvement on the horizon though. We have been looking into replacing some of the spatialpandas
internal ragged arrays with awkward
arrays, which will provide improvements in both speed and maintainability. This is proceeding relatively slowly though as it is not a high priority for any of the interested parties.
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Related Issues (20)
- linearrings TypeError using shapely 2.0 HOT 1
- Support numpy 1.24
- ValueError: Keyword 'validate_schema' is not yet supported with the new Dataset API HOT 1
- Set python-snappy as optional dependency to work with Python 3.11 on pip install HOT 2
- Being able to instanciate empty GeoDataFrame HOT 1
- `RecursionError` After Pandas 2.1.0 Release
- Geometry test failures in CI
- Pandas 2.2.0 rc0 emit warning HOT 1
- DaskGeoDataFrame parquet write error - Series object has no attribute total_bounds HOT 7
- GeometryArray.__geitem__ does not preserve dtype
- DaskDataFrame to DaskGeoDataFrame HOT 3
- spatialpandas failure on Dask Remote Cluster HOT 2
- error when importing DaskGeoDataFrame HOT 11
- Does spatialpandas read shapefiles or do I need to convert from geopandas? HOT 8
- dask.dataframe containing spatialpandas doesn't seem to work with hvplot
- Process for creating new release HOT 2
- dask `2021.8.0` breaks parquet io HOT 3
- Fixes required for new release HOT 2
- Set up code coverage
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