iterating through two numpy arrays applying a function in Python -

i have

import numpy np = np.array([np.nan,2,3]) b = np.array([1,np.nan,2])

i want apply function a,b, there fast way of doing this. (like in pandas, can apply)

specifically interesting in averaging , b, take average 1 of numbers when other number missing.

i.e. want return

 np.array([1,2,2.5])

for example above. however, know answer in more general setting (where want apply operation element-wise number of numpy arrays)

you can use numpy.nanmean, ignores nans:

np.nanmean([a, b], axis=0) # array([ 1. ,  2. ,  2.5])

wiki

tL