mode

Mode(features, *, replace=False)

Bases: Transform

Mode finds the value that appears most often in time-series features.

Initializes the Mode transform.

Parameters:

Name	Type	Description	Default
features	str | Iterable[str]	The features to apply this transform to.	required
replace	bool	Whether to replace the original features with the transformed ones. If set to False, the default, the value will be added as a new feature named {feature}_mode.	False

Source code in src/flowcean/polars/transforms/mode.py

def __init__(
    self,
    features: str | Iterable[str],
    *,
    replace: bool = False,
) -> None:
    """Initializes the Mode transform.

    Args:
        features: The features to apply this transform to.
        replace: Whether to replace the original features with the
            transformed ones. If set to False, the default, the value will
            be added as a new feature named `{feature}_mode`.
    """
    self.features = [features] if isinstance(features, str) else features
    self.replace = replace