def rebin(self, df=None, f=None, method="mean"): """ Rebin the power spectrum. Parameters ---------- df: float The new frequency resolution Other Parameters ---------------- f: float the rebin factor. If specified, it substitutes ``df`` with ``f*self.df`` Returns ------- bin_cs = :class:`Powerspectrum` object The newly binned power spectrum. """ bin_ps = Crossspectrum.rebin(self, df=df, f=f, method=method) bin_ps.nphots = bin_ps.nphots1 return bin_ps
def rebin(self, df=None, f=None, method="mean"): """ Rebin the power spectrum. Parameters ---------- df: float The new frequency resolution Other Parameters ---------------- f: float the rebin factor. If specified, it substitutes ``df`` with ``f*self.df`` Returns ------- bin_cs = :class:`Powerspectrum` object The newly binned power spectrum. """ bin_ps = Crossspectrum.rebin(self, df=df, f=f, method=method) bin_ps.nphots = bin_ps.nphots1 return bin_ps
def rebin(self, df=None, f=None, method="mean"): bin_ps = Crossspectrum.rebin(self, df=df, f=f, method=method) bin_ps.nphots = bin_ps.nphots1 return bin_ps
def rebin(self, df, method="mean"): bin_ps = Crossspectrum.rebin(self, df=df, method=method) bin_ps.nphots = bin_ps.nphots1 return bin_ps