Metadata-Version: 2.1
Name: semantic-link-functions-validators
Version: 0.8.5
Summary: Semantic link functions for validators package. Enables validation of email addresses, credit card numbers, ... in FabricDataFrames.
Home-page: https://github.com/microsoft/semantic-link-functions
Author: Microsoft
Author-email: semanticdatascience@service.microsoft.com
License: MIT License
Platform: Microsoft Fabric
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.10
Description-Content-Type: text/markdown; charset=UTF-8
License-File: ../LICENSE.txt
Requires-Dist: validators
Requires-Dist: semantic-link-sempy==0.8.5

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.

```python
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()
```


