np.mean() vs np.average() in Python NumPy?
I notice that
In : np.mean([1, 2, 3]) Out: 2.0 In : np.average([1, 2, 3]) Out: 2.0
However, there should be some differences, since after all they are two different functions.
What are the differences between them?
try: mean = a.mean except AttributeError: return _wrapit(a, 'mean', axis, dtype, out) return mean(axis, dtype, out)
... if weights is None : avg = a.mean(axis) scl = avg.dtype.type(a.size/avg.size) else: #code that does weighted mean here if returned: #returned is another optional argument scl = np.multiply(avg, 0) + scl return avg, scl else: return avg ...