Is it possible to use customize binning of scale?

[bencooper1]

Is there any method to set customize binning of scale instead of set dim1_max and dim1_nbin? For example with monopole correlation function, I want to set spatial scale "r" to estimate the xi(r) at r=np.array([0, 4, 10, 16, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 104, 108, 112, 116, 120]) #Mpc/h

Thank you in advance for your reply!

Cheers!

[damonge]

Hi @bencooper1
I'm sorry I didn't see this issue sooner. Unfortunately there is no immediate way of doing this with the code. One option would be to use a very fine regular binning at the beginning, and then re-bin the pair histograms yourself into whatever wins you want. Hope this helps.