_OneSegmentLogTransform

class _OneSegmentLogTransform(in_column: str, base: int = 10, inplace: bool = True, out_column: Optional[str] = None)

Bases: etna.transforms.base.Transform

Instance of this class applies logarithmic transformation to one segment data.

Init OneSegmentLogTransform.

Parameters

• in_column (str) – column to apply transform.

• base (int) – base of logarithm to apply to series.

• inplace (bool) –

  • if True, apply logarithm transformation inplace to in_column,

  • if False, add transformed column to dataset.

• out_column (Optional[str]) – name of added column. If not given, use self.__repr__()

Inherited-members

Methods

fit(df)	Fit preprocess method, does nothing in OneSegmentLogTransform case.
fit_transform(df)	May be reimplemented.
inverse_transform(df)	Apply inverse transformation to the series from df.
transform(df)	Apply log transformation to series from df.

fit(df: pandas.core.series.Series) → etna.transforms.math.log._OneSegmentLogTransform

Fit preprocess method, does nothing in OneSegmentLogTransform case.

Parameters

df (pandas.core.series.Series) –

Return type

etna.transforms.math.log._OneSegmentLogTransform

inverse_transform(df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame

Apply inverse transformation to the series from df.

Parameters

df (pandas.core.frame.DataFrame) – series to transform

Returns

transformed series

Return type

pandas.core.frame.DataFrame

transform(df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame

Apply log transformation to series from df.

Parameters

df (pandas.core.frame.DataFrame) – series to transform

Returns

transformed series

Raises

ValueError: – if given series contains negative samples

Return type

pandas.core.frame.DataFrame