Transformer
TimeBinner
Turns time series/panel data into tabular data based on intervals.
This estimator converts nested pandas dataframe containing time-series/panel data with numpy arrays or pandas Series in dataframe cells into a tabular pandas dataframe with only primitives in cells. The primitives are calculated based on Intervals defined by the IntervalIndex and aggregated by aggfunc.
This is useful for transforming time-series/panel data into a format that is accepted by standard validation learning algorithms (as in sklearn).
Schnellstart
python
from sktime.transformations.reduce import TimeBinner
estimator = TimeBinner(idx, aggfunc=None)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
- Primitives
- Label-Typscitype:transform-labels
- None
- Fit ist leerfit_is_empty
- Ja
- Behält den Zeitindextransform-returns-same-time-index
- Nein
- Benötigt Xrequires_X
- Ja
- Benötigt yrequires_y
- Nein
- X und y brauchen denselben IndexX-y-must-have-same-index
- Nein
Parameter(2)
- idxpd.IntervalIndex
- IntervalIndex defining intervals considered by aggfunc
- aggfunccallable
- Function used to aggregate the values in intervals. Should have signature 1D -> float and defaults to mean if None