In Tonry and Davis (1979)(http://adsabs.harvard.edu/abs/1979AJ.....84.1511T), they formulated a cross-correlation method for extracting velocity redshifts. They bin the linear spectra into logarithmic wavelength scale. Similar work was done by Baldry et. al (2014) (https://arxiv.org/abs/1404.2626) and I have inserted relevant excerpt from TD79. I understand that log wavelength binning is a pre-requisite of cross-correlation procedure.
I have been trying to follow this approach and trying to rebin the linear spectra (3000 to 9000 Angstroms) in equal intervals of log wavelength. Could someone please give me a guidance about how to do this logarithmic re-binning in Python?