Transformer
ColumnSelect
Column selection transformer.
In transform, subsets X to columns provided as hyper-parameters.
Sequence of columns in Xt=transform(X) is as in columns hyper-parameter. Caveat: this means that transform may change sequence of columns,
even if no columns are removed from X in transform(X).
Schnellstart
python
from sktime.transformations.subset import ColumnSelect
estimator = ColumnSelect(columns=None, integer_treatment='col', index_treatment='remove')Tags
Fähigkeiten
- Multivariat
- Reihen ungleicher Länge
- Inverse Transformation: Nicht unterstützt
- Fehlende Werte: Nicht unterstützt
- Entfernt fehlende Werte: Nicht unterstützt
- Gleicht Reihenlängen an: Nicht unterstützt
Eigenschaften
- Eingabetypscitype:transform-input
- Series
- Ausgabetypscitype:transform-output
- Series
- Label-Typscitype:transform-labels
- None
- Fit ist leerfit_is_empty
- Ja
- Behält den Zeitindextransform-returns-same-time-index
- Ja
- Benötigt Xrequires_X
- Ja
- Benötigt yrequires_y
- Nein
- X und y brauchen denselben IndexX-y-must-have-same-index
- Nein
Parameter(3)
- columnspandas compatible index or index coercible, optional, default = None
- columns to which X in transform is to be subset
- integer_treatmentstr, optional, one of “col” (default) and “coerce”
- determines how integer index columns are treated “col” = subsets by column iloc index, even if columns is not in X.columns “coerce” = coerces to integer pandas.Index and attempts to subset
- index_treatmentstr, optional, one of “remove” (default) or “keep”
determines which column are kept in
Xt = transform(X, y)“remove” = only indices that appear in both X and columns are present in Xt. “keep” = all indices in columns appear in Xt. If not present in X, NA is filled.
Beispiele
>>> from sktime.transformations.subset import ColumnSelect
>>> from sktime.datasets import load_longley
>>> X = load_longley ()[1 ]
>>> transformer = ColumnSelect (columns = ["GNPDEFL", "POP", "FOO" ])
>>> X_subset = transformer. fit_transform (X = X)