semantic-link-functions-validators

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(
        {"contact_email": ["[e-mail]", "d.com"],
         "amex": ["378282246310005", "4242424242424242"],
         "iban": ["DE29100500001061045672", "123456"],
         "es_nie": ["X0095892M", "X0095892X"]}
    )

df["contact_email"].validators.is_email()