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
