Permanent Nan in NP

[Antigr]

I'll give it a go.

import numpy as np
from PIL import Image
import math
#np.seterr(divide='ignore', invalid='ignore')
image=Image.open('E:/test.jpg')
imgr,imgg,imgb=image.split()
r=np.asarray(imgr).astype('float64')
g=np.asarray(imgg).astype('float64')
b=np.asarray(imgb).astype('float64')
vari=(g-r)/(g+r-b)
nan=0
a=[]
for i in range (len(vari)):
    for j in range(len(vari[i])):
        if not np.isnan(vari[i][j]):
            b=float(vari[i][j])
            a.append(b)
        else:
            vari[i][j]=1
            nan=nan+1
print('len vari',len(vari)*len(vari[0]))
print('len a (no NaN elements)',len(a))
print('TOTAL NAN',nan)
for i in range (len(vari)):
    for j in range(len(vari[i])):
        if np.isnan(vari[i][j]):
            print ('new NAN object',i,j)
s=0
vari=vari.ravel()
for i in range (len(a)):
    if math.isnan(a[i]):
        print ('new NAN object in a massiv',i,j)
for i in range(len(a)):
    s=s+a[i]
print ('summa iz a',s)
s2=0
for i in range(len(vari)):
    s2=s2+vari[i]
print ('summa',s2)

this is new version, sum is nan