baybe.utils.validation.preprocess_dataframe¶

baybe.utils.validation.preprocess_dataframe(df: DataFrame, /, parameters: Sequence[Parameter], objective: Objective | None = None, numerical_measurements_must_be_within_tolerance: bool = True)[source]¶

Preprocess an experimental dataframe by validating and normalizing its contents.

Checks that the dataframe contains all required columns for the given parameters/objective and adjusts their dtypes accordingly.

Parameters:

df (DataFrame) – The dataframe to preprocess.
parameters (Sequence[Parameter]) – The parameters to validate the dataframe columns against.
objective (Optional[Objective]) – The objective to validate the dataframe columns against.
numerical_measurements_must_be_within_tolerance (bool) – See validate_parameter_input().

Return type:

DataFrame

Returns:

The preprocessed dataframe.