{ "info": { "author": "D'Arcy Roche", "author_email": "d.arcy@posteo.de", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: GIS" ], "description": "# GeoParquet\n\nGeoParquet for Python is a GeoPandas API designed to facilitate fast\ninput/output of GIS data in the open source Parquet file format.\n\nThe project is currently a proof of concept.\n\n__Why is this project needed?__\n\nThe GIS community currently lacks a fast, efficient, open-source file format for\npersisting and sharing data with. The purpose of the GeoParquet project is to\ndevelop such a file format.\n\n__How does it work?__\n\nThe GeoParquet file format is simple adaptation of the existing Parquet file\nformat: geometries are stored as well-known binary (WKB), and the coordinate\nreference system is stored as a WKT string (specifically WKT2_2018) in the\nfile's metadata.\n\n__Basic usage__\n\n```python\nimport geopandas as gpd\nimport geoparquet as gpq\n\n# read in file from shapefile or other format using geopandas\ngdf = gpd.read_file('example file.shp')\n\n# call .to_geoparquet() method on geopandas GeoDataFrame to write to file\ngdf.to_geoparquet('example file.geoparquet')\n\n# read from file by calling gpq.read_geoparquet() function\ngdf = gpq.read_geoparquet('example file.geoparquet')\n```\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": 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