Metadata-Version: 2.1
Name: semantic-link-functions-phonenumbers
Version: 0.7.7
Summary: Semantic link functions for phonenumbers package. Enables validation of phone 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: phonenumbers
Requires-Dist: semantic-link-sempy ==0.7.7

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(
    {"num": ["+442083661177", "ABC000-0000", "abc"], "country": ["US", "AT", "Unknown"]},
    column_metadata={"country": {"data_category": "Country"}},
)

is_phone_series = df.is_phonenumber(col_num="num", col_country="country")
```


