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")
```
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"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.\n\nEach 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.\n\nSemantic 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.\n\n```python\nfrom sempy.fabric import FabricDataFrame\n\ndf = FabricDataFrame(\n {\"num\": [\"+442083661177\", \"ABC000-0000\", \"abc\"], \"country\": [\"US\", \"AT\", \"Unknown\"]},\n column_metadata={\"country\": {\"data_category\": \"Country\"}},\n)\n\nis_phone_series = df.is_phonenumber(col_num=\"num\", col_country=\"country\")\n```\n\n\n",
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