## create_schema_from_table()


Create a DSD, ConceptScheme, and Codelists from a DataFrame.


Usage

``` python
create_schema_from_table(
    dataframe,
    dimensions,
    measure,
    time_dimension,
    attributes=None,
    agency_id="WB.DP",
    schema_id="DP_SCHEMA",
    version="1.0",
    uppercase_code_ids=True
)
```


## Parameters


`dataframe: pd.DataFrame`  
The source DataFrame.

`dimensions: list[str]`  
Column names to use as SDMX dimensions.

`measure: str`  
Column name to use as the SDMX measure.

`time_dimension: str`  
Column name to use as the SDMX time dimension.

`attributes: list[str] | None = None`  
Optional column names to use as SDMX attributes.

`agency_id: str = ``"WB.DP"`  
Agency identifier for the generated artefacts.

`schema_id: str = ``"DP_SCHEMA"`  
Base identifier for the generated DSD and concept scheme.

`version: str = ``"1.0"`  
Version string for the generated artefacts.

`uppercase_code_ids: bool = ``True`  
If True (default), codelist code IDs are uppercased. Set to False to preserve the original casing of code values.


## Returns


`SchemaComponents: SchemaComponents`  
A named tuple with `dsd`, `concept_scheme`, and `codelists` fields.


## Raises


`ValueError`  
If any of the specified column names are missing from the DataFrame.