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Code Block
V = np.array(...)
Vmin, Vmax, Nbins1 <--- scalar valuer
indarr = np.int32( factor * (V-Vmin) )
arr = np.select([V==Vmax, indarr<0, indarr>Nbins1], [Nbins1, 0, 0], default=indarr)

protected division:

Code Block
def divideZeroProteced(nda_num, nda_den, val_subst_zero=0) :
    pro_num = np.select([nda_den==0], [val_subst_zero], default=nda_num)
    pro_den = np.select([nda_den==0], [1],              default=nda_den)
    return pro_num / pro_den

 

SciPy

Import

Code Block
#!/usr/bin/env python
import numpy as np
from scipy.optimize import curve_fit

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