Transformer
FourierTransform
Simple Fourier transform for time series.
The implementation is based on the real fast fourier transform from numpy.fft.rfft Returns pd.Series of amplitudes of integer range frequencies. Even-Sampling of data is assumed and frequency range converted to integer.
Quickstart
python
from sktime.transformations.fourier import FourierTransform
estimator = FourierTransformTags
Capabilities
- Unequal-length series
- Multivariate: Not supported
- Inverse transform: Not supported
- Missing values: Not supported
- Removes missing values: Not supported
- Equalizes series length: Not supported
Properties
- Input typescitype:transform-input
- Series
- Output typescitype:transform-output
- Series
- Label typescitype:transform-labels
- None
- Fit is emptyfit_is_empty
- Yes
- Keeps the time indextransform-returns-same-time-index
- No
- Requires Xrequires_X
- Yes
- Requires yrequires_y
- No
- X and y need the same indexX-y-must-have-same-index
- No
Examples
>>> from sktime.transformations.fourier import FourierTransform
>>> from sktime.datasets import load_airline
>>> X = load_airline ()
>>> transformer = FourierTransform ()
>>> X_ft = transformer. fit_transform (X)