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)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