moving average numpy

Bored Beaver answered on November 21, 2020 Popularity 9/10 Helpfulness 7/10

answer moving average numpy

moving average numpy

Comment

def moving_average(a, n=3) :
    ret = np.cumsum(a, dtype=float)
    ret[n:] = ret[n:] - ret[:-n]
    return ret[n - 1:] / n

>>> a = np.arange(20)
>>> moving_average(a)
array([  1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.,  10.,  11.,
        12.,  13.,  14.,  15.,  16.,  17.,  18.])
>>> moving_average(a, n=4)
array([  1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,
        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5])

Popularity 9/10 Helpfulness 7/10 Language python

Source: stackoverflow.com

Tags: moving-average numpy python

Link to this answer
Share Copy Link

Contributed on Nov 21 2020

Bored Beaver

0 Answers Avg Quality 2/10

moving average numpy

Contents

More Related Answers

moving average numpy

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.