1import numpy
2def running_mean(x, N):
3 """ x == an array of data. N == number of samples per average """
4 cumsum = numpy.cumsum(numpy.insert(x, 0, 0))
5 return (cumsum[N:] - cumsum[:-N]) / float(N)
6
7val = [-30.45, -2.65, 56.61, 47.13, 47.95, 30.45, 2.65, -28.31, -47.13, -95.89]
8print(running_mean(val, 3))
9""" [ 7.83666667 33.69666667 50.56333333 41.84333333 27.01666667
10 1.59666667 -24.26333333 -57.11 ] """