## validate_duplicates()


Validate that there are no duplicate rows for a given set of key columns.


Usage

``` python
validate_duplicates(
    df,
    dim_comp,
    max_errors=1000,
)
```


## Parameters


`df: pd.DataFrame`  
The DataFrame to validate.

`dim_comp: list[str]`  
Column names forming the uniqueness key (dimensions).

`max_errors: int = ``1000`  
Maximum number of duplicate key combinations to include in the error message. Defaults to `1000`.


## Raises


`ValueError`  
If duplicate rows are found, reporting the count and the offending key combinations (up to `max_errors`).