twistpy.polarization.TimeFrequencyAnalysis6C.plot_classification#
- TimeFrequencyAnalysis6C.plot_classification(ax: Axes, classified_eigenvector: int = 0, clip: float = 0.05) None[source]#
Plot wave type classification labels as a function of time and frequency.
- Parameters
- ax
Axes Matplotlib Axes instance where the classification should be plotted
- classified_eigenvector
int, default = 0 Specify for which eigenvector the classification is plotted
- clip
float, default=0.05 (between 0 and 1) Results are only plotted at time-frequency points where the signal amplitudes exceed a value of amplitudes * maximum amplitude in the signal (given by the l2-norm of all three components).
- ax