Commit 215c49a4 by Martin Reinecke

better documentation

parent 662203ec
 ... ... @@ -45,9 +45,14 @@ class PowerSpace(Space): (If binbounds has n entries, there will be n+1 bins, the first bin starting at -inf, the last bin ending at +inf.) (default : None) if binbounds == None : if binbounds == None: Calculates the bounds from the kindex while applying the logarithmic and nbin keywords. Note: if "bindounds" is not None, both "logarithmic" and "nbin" must be None! Note: if "binbounds", "logarithmic", and "nbin" are all None, then "natural" binning is performed, i.e. there will be one bin for every distinct k-vector length. Attributes ---------- ... ... @@ -93,11 +98,16 @@ class PowerSpace(Space): dists = self._harmonic_partner.get_distance_array( distribution_strategy) # sanity check if binbounds is not None and not(nbin is None and logarithmic is None): raise ValueError( "if binbounds is defined, nbin and logarithmic must be None") self._binbounds = None if logarithmic is None and nbin is None and binbounds is None: # compute the "natural" binning, i.e. there # is one bin for every distinct k-vector length tmp = dists.unique() tmp = dists.unique() # expensive! tol = 1e-12*tmp[-1] # remove all points that are closer than tol to their right # neighbors. ... ... @@ -142,7 +152,7 @@ class PowerSpace(Space): distribution_strategy=distribution_strategy) self._pindex.set_local_data(np.searchsorted( bb, dists.get_local_data())) bb, dists.get_local_data())) # also expensive! self._rho = self._pindex.bincount().get_full_data() self._kindex = self._pindex.bincount( weights=dists).get_full_data()/self._rho ... ...
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