Semantic link functions for meteostat package. Enables enrichment of FabricDataFrame with historical weather data.
Project description
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.
from sempy.fabric import FabricDataFrame
df = FabricDataFrame({
"lat": [40.7128, 47.8095, 47.8095, 47.8095],
"long": [-74.0060, 13.0550, 13.0550, 13.0550],
"date": ["2023-01-06", "2023-01-06", "2023-01-07", "2023-01-10"]
},
column_metadata={"lat": {"data_category": "Latitude"}, "long": {"data_category": "Longitude"}},
)
df["date"] = pd.to_datetime(df["date"])
df_weather = df.add_weather_meteostat("lat", "long", "date")
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