semantic-link-functions-geopandas 0.14.1
pip install semantic-link-functions-geopandas
Released:
Semantic link functions for Geopandas. Enables conversion of a FabricDataFrame to a GeoDataFrame.
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- License: MIT License (MIT License)
- Author: Microsoft
- Requires: Python >=3.10
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FabricDataFrames dynamically expose semantic functions based on logic defined by each function. For example, the is_holiday function shows up in the autocomplete suggestions when you're working on a FabricDataFrame containing both a datetime column and a country column.
Each semantic function uses information about the data types, metadata (such as Power BI data categories), and the data in a FabricDataFrame or FabricSeries to determine its relevance to the particular data on which you're working.
Semantic functions are automatically discovered when annotated with the @semantic_function decorator. You can think of semantic functions as being similar to C# extension methods applied to the popular DataFrame concept.
fromsempy.fabricimport FabricDataFrame df = FabricDataFrame( {"country": ["US", "AT"], "lat": [40.7128, 47.8095], "long": [-74.0060, 13.0550]}, column_metadata={"lat": {"data_category": "Latitude"}, "long": {"data_category": "Longitude"}}, ) df_geo = df.to_geopandas(lat_col="lat", long_col="long")
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- License: MIT License (MIT License)
- Author: Microsoft
- Requires: Python >=3.10
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