Moving average or running mean

Question

Is there a SciPy function or NumPy function or module for Python that calculates the running mean of a 1D array given a specific window?

Answer 1

Use Only Python Standard Library (Memory Efficient)

Just give another version of using the standard library deque only. It's quite a surprise to me that most of the answers are using pandas or numpy.

def moving_average(iterable, n=3):
    d = deque(maxlen=n)
    for i in iterable:
        d.append(i)
        if len(d) == n:
            yield sum(d)/n

r = moving_average([40, 30, 50, 46, 39, 44])
assert list(r) == [40.0, 42.0, 45.0, 43.0]

Actually I found another implementation in python docs

def moving_average(iterable, n=3):
    # moving_average([40, 30, 50, 46, 39, 44]) --> 40.0 42.0 45.0 43.0
    # http://en.wikipedia.org/wiki/Moving_average
    it = iter(iterable)
    d = deque(itertools.islice(it, n-1))
    d.appendleft(0)
    s = sum(d)
    for elem in it:
        s += elem - d.popleft()
        d.append(elem)
        yield s / n

However the implementation seems to me is a bit more complex than it should be. But it must be in the standard python docs for a reason, could someone comment on the implementation of mine and the standard doc?