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semantic-link-functions-validators
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Semantic link functions for validators package. Enables validation of email addresses, credit card numbers, ... in FabricDataFrames.
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": ["a@b.com", "d.com"],
"amex": ["378282246310005", "4242424242424242"],
"iban": ["DE29100500001061045672", "123456"],
"es_nie": ["X0095892M", "X0095892X"]}
)
df["contact_email"].validators.is_email()
FAQs
Semantic link functions for validators package. Enables validation of email addresses, credit card numbers, ... in FabricDataFrames.
We found that semantic-link-functions-validators demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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