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@glucksfall
Created November 29, 2018 20:28
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import numpy as np
if __name__ == "__main__":
forr=30
nkx=5
spff1= [x * 0.3 for x in range(0, 200)]
spff= [x * 0.3 for x in range(0, 200)]
spff1 = np.array(spff1)
spff = np.array(spff)
mean_aux=range(-5,6)
for j in range(forr):
u=nkx
for k in range(nkx+1, len(spff) - nkx + 1):
kx = range(k-nkx-1, k+nkx)
spff[u] = np.multiply(spff1[kx], mean_aux).sum()
u=u+1
spff1[:] = spff[:]
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