Periodicity

Several methods for analyzing periodicity are included.

Autocorrelation

Autocorrelation is plotted using pandas.plotting.autocorrelation_plot().

traja.plotting.plot_autocorrelation(trj: TrajaDataFrame, coord: str = 'y', unit: str = 'Days', xmax: int = 1000, interactive: bool = True)

Plot autocorrelation of given coordinate.

Parameters

• Trajectory (trj -) –

• 'y' (coord - 'x' or) –

• string (unit -) –

• eg –

• 'Days' –

• value (xmax - max xaxis) –

• immediately (interactive - Plot) –

Returns

Matplotlib Figure

(Source code, png, hires.png, pdf)

Note

Convenience wrapper for pandas autocorrelation_plot().

Periodogram (Power Spectum)

Convenience wrapper for scipy.signal.periodogram().

traja.plotting.plot_periodogram(trj, coord: str = 'y', fs: int = 1, interactive: bool = True)

Plot power spectral density of coord timeseries using a periodogram.

Parameters

• Trajectory (trj -) –

• 'y' (coord - choice of 'x' or) –

• frequency (fs - Sampling) –

• immediately (interactive - Plot) –

Returns

Figure

(Source code)

Note

Convenience wrapper for scipy.signal.periodogram().