How to use the stingray.utils.excess_variance function in stingray
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StingraySoftware / dave / src / main / python / utils / dave_engine.py View on Github 
def lightcurve_excvar(lc):
return excess_variance(lc, normalization='none')def lightcurve_fractional_rms(lc):
return excess_variance(lc, normalization='fvar')stingray
Time Series Methods For Astronomical X-ray Data
Package Health Score
77 / 100Popular stingray functions
- stingray.AveragedCrossspectrum
- stingray.AveragedPowerspectrum
- stingray.Covariancespectrum
- stingray.Crossspectrum
- stingray.crossspectrum.Crossspectrum
- stingray.DynamicalPowerspectrum
- stingray.events.EventList
- stingray.gti._get_gti_from_extension
- stingray.gti.cross_two_gtis
- stingray.gti.gti_len
- stingray.io._retrieve_pickle_object
- stingray.Lightcurve
- stingray.lightcurve.Lightcurve
- stingray.modeling.ParameterEstimation
- stingray.modeling.PSDLogLikelihood
- stingray.modeling.PSDParEst
- stingray.modeling.PSDPosterior
- stingray.Powerspectrum
- stingray.simulator.simulator.Simulator
- stingray.utils.excess_variance