geopandas

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Guidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or vector-data I/O.

AI & Automation 44,401 stars 4028 forks Updated today MIT

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Skill Content

# GeoPandas Use GeoPandas for planar vector data represented as pandas-like `GeoSeries` and `GeoDataFrame` objects. This skill targets stable **GeoPandas 1.1.4** (released 2026-06-26), not the unreleased 1.2 documentation. ## Reproducible environment GeoPandas 1.1.4 requires Python 3.10+; its tagged source requires NumPy >=1.24, pandas >=2.0, Shapely >=2.0, pyproj >=3.5, pyogrio >=0.7.2, and `packaging`. This exact Python 3.12 snapshot was smoke-tested on 2026-07-23: ```bash uv venv --python 3.12 uv pip install \ "geopandas==1.1.4" \ "numpy==2.5.1" \ "pandas==3.0.5" \ "shapely==2.1.2" \ "pyproj==3.7.2" \ "pyogrio==0.13.0" \ "pyarrow==25.0.0" \ "packaging==26.2" ``` Keep optional plotting and PostGIS packages pinned in the project lock as well. Do not mix binary geospatial packages from incompatible package channels. ## Safety and privacy contract - Treat exact coordinates, addresses, parcel boundaries, trajectories, and small-area joins as sensitive. Default reports to counts, categories, coarse extents, and redacted identifiers. Generalize before publication. - Never automatically load a URL, cloud URI, GDAL `/vsi*` path, archive, or geocode an address. Obtain explicit approval, validate provenance and hashes, then stage an unpacked local file in an isolated workspace. - GDAL/OGR drivers, GEOS, PROJ, pyogrio, Shapely, pyproj, and their wheels are a native-code trust boundary. Prefer official wheels/conda-forge, record native versions, restr...

Details

Author
K-Dense-AI
Repository
K-Dense-AI/scientific-agent-skills
Created
10 months ago
Last Updated
today
Language
Python
License
MIT

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