{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"}],"enrichment":{"capability":"Integrates GeoArrow geometry data with pandas and pyarrow, enabling efficient I/O to Arrow-friendly formats and coordinate transformations between WKT, WKB, and GeoArrow encodings.","skillfed_tags":["geospatial","columnar-storage","arrow-integration"],"use_cases":["Load large geographic datasets from GeoParquet files into pyarrow tables while preserving CRS metadata.","Convert between geopandas GeoDataFrames and Arrow-native formats for memory-efficient processing.","Transform coordinate encodings (WKT \u2194 WKB \u2194 GeoArrow) for interoperability with other geospatial tools.","Read geographic data directly from Arrow IPC streams with geometry type and CRS information intact.","Construct GeoArrow arrays programmatically from coordinate buffers for custom geometry pipelines."],"what_it_does":"geoarrow-pandas bridges GeoArrow geometry data with the pandas and pyarrow ecosystem. It registers pyarrow extension types so that coordinate reference systems (CRS) and geometry type metadata survive I/O operations on Arrow-native formats like Parquet and Arrow IPC files. The package provides utilities to read and write GeoParquet files, convert to and from geopandas GeoDataFrames, and perform coordinate transformations between WKT (well-known text), WKB (well-known binary), and native GeoArrow encodings.\n\nThe package is built on top of geoarrow-pyarrow and adds pandas-specific integration. It includes compute functions for common geometry operations (e.g., formatting to WKT) and tools for constructing GeoArrow arrays from buffers or existing geometry sources. The main use case is working with large geographic datasets in columnar format without the memory overhead of traditional GeoDataFrame representations.","worth_installing":"Yes, if you work with geographic data in Arrow or Parquet formats and need to preserve geometry metadata through I/O operations. The low install friction and permissive license make it a safe addition. However, note that the package itself has not been updated since October 2023\u2014check whether active development has consolidated into geoarrow-pyarrow before adopting it for new projects."},"id":"geoarrow-pandas","links":{"html":"https://skillfed.io/packages/geoarrow-pandas","md":"https://skillfed.io/packages/geoarrow-pandas.md","pypi":"https://pypi.org/project/geoarrow-pandas/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2023-10-05","license_spdx":null,"license_treatment":"permissive","name":"geoarrow-pandas","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":172650,"position":10330,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.1"}