_OneSegmentResampleWithDistributionTransform¶
- class _OneSegmentResampleWithDistributionTransform(in_column: str, distribution_column: str, inplace: bool, out_column: Optional[str])[source]¶
Bases:
etna.transforms.base.Transform_OneSegmentResampleWithDistributionTransform resamples the given column using the distribution of the other column.
Init _OneSegmentResampleWithDistributionTransform.
- Parameters
in_column (str) – name of column to be resampled
distribution_column (str) – name of column to obtain the distribution from
inplace (bool) –
if True, apply resampling 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)Obtain the resampling frequency and distribution from
distribution_column.fit_transform(df)May be reimplemented.
inverse_transform(df)Inverse transforms dataframe.
transform(df)Resample the in_column using the distribution of distribution_column.
- fit(df: pandas.core.frame.DataFrame) etna.transforms.missing_values.resample._OneSegmentResampleWithDistributionTransform[source]¶
Obtain the resampling frequency and distribution from
distribution_column.- Parameters
df (pandas.core.frame.DataFrame) – dataframe with data to fit the transform.
- Return type
etna.transforms.missing_values.resample._OneSegmentResampleWithDistributionTransform