python numpy ndarray element-wise mean
I'd like to calculate element-wise average of numpy ndarray.
In [56]: a = np.array([10, 20, 30])
In [57]: b = np.array([30, 20, 20])
In [58]: c = np.array([50, 20, 40])
What I want:
[30, 20, 30]
Is there any in-built function for this operation, other than vectorized sum and dividing?
Answer
You can just use np.mean directly:
>>> np.mean([a, b, c], axis=0)
array([ 30., 20., 30.])