{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"}],"enrichment":{"capability":"Adds geospatial semantic functions to FabricDataFrame, enabling automatic discovery and application of location-aware operations based on detected latitude/longitude columns and metadata.","skillfed_tags":["geospatial","fabric-integration","semantic-functions"],"use_cases":["Convert Fabric datasets with latitude/longitude columns to GeoDataFrames for spatial analysis and mapping","Automatically surface location-aware functions in IDE autocomplete when working with geographic data","Integrate Power BI data categories with geopandas workflows for seamless geospatial operations","Build data pipelines that combine Fabric's semantic metadata with folium-based map visualizations","Classify geographic data using mapclassify within a Fabric-native data structure"],"what_it_does":"This package extends FabricDataFrame with geospatial semantic functions that automatically appear in autocomplete when your data contains location columns and appropriate metadata. It bridges Microsoft's Fabric data model with the geopandas geospatial ecosystem, allowing you to convert a FabricDataFrame with latitude and longitude columns into a GeoDataFrame for spatial analysis.\n\nThe package uses the @semantic_function decorator pattern to register functions that inspect data types, column metadata (such as Power BI data categories), and actual data values to determine when they should be available. This means functions like is_holiday or geospatial operations show up contextually rather than cluttering every namespace. It's designed for developers working with Fabric data who need to perform geographic operations without manual function discovery or explicit imports.","worth_installing":"Yes, if you work with Fabric data and need geospatial operations. The package is actively maintained, has low install friction, carries a permissive MIT license, and integrates cleanly with geopandas. However, it is in beta status and has modest adoption (16 repository stars), so expect potential API changes and verify compatibility with your specific versions of geopandas and mapclassify before production use."},"id":"semantic-link-functions-geopandas","links":{"html":"https://skillfed.io/packages/semantic-link-functions-geopandas","md":"https://skillfed.io/packages/semantic-link-functions-geopandas.md","pypi":"https://pypi.org/project/semantic-link-functions-geopandas/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-21","license_spdx":null,"license_treatment":"permissive","name":"semantic-link-functions-geopandas","python_support":"supports_current","summary":"Semantic link functions for Geopandas. Enables conversion of a FabricDataFrame to a GeoDataFrame."},"popularity":{"monthly_downloads":473149,"position":6466,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.14.2"}