Df validation
Submodules
Classes
Package Contents
- class DataFrameValidation(df, label, columns_validations, required_columns=None)
- Parameters:
df (pandas.DataFrame)
label (str)
columns_validations (List[Columnvalidation])
required_columns (List[str])
- label: str
- df: pandas.DataFrame
- required_columns: List[str] | None = None
- columns_validations: List[Columnvalidation]
- df_failures: pandas.DataFrame | None = None
- _run_required_columns()
- Return type:
pandas.DataFrame
- _run_column_validation()
- Return type:
pandas.DataFrame
- run()
- to_excel(directory)
- Parameters:
directory (str)
- Return type:
Optional[str]
- class ColumnValidation(column_name, requirements)
- Parameters:
column_name (str)
requirements (List[Validationrequirement])
- column_name
- requirements
- class ValidationRequirement(requirement, failure_msg, filters=None, stop_validation_on_failure=False)
- Parameters:
requirement (Callable[[pandas.Series], pandas.Series])
failure_msg (str)
filters (Optional[Callable[[pandas.DataFrame], pandas.Series]])
stop_validation_on_failure (bool)
- requirement
- filters = None
- failure_msg
- stop_validation_on_failure: bool = False
- validate(df, column)
- Parameters:
df (pandas.DataFrame)
column (str)
- Return type:
pandas.DataFrame