Numpy rolling average

Moving average numpy

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])

Source: stackoverflow.com

Numpy rolling average

import numpy as np

def moving_average(x, w):
    return np.convolve(x, np.ones(w), 'valid') / w

Source: stackoverflow.com

Similar codes

10 votes123 views1 answer
Https://docs.djangoproject.com/en/2.0/howto/static-files/
Python
0 vote128 views1 answer
Demploy django in vps
Python
1 vote151 views1 answer
Django admin slug auto populate
Python Django
1 vote143 views1 answer
ValueError: There may be at most 1 Subject headers in a message
Python
1 vote133 views2 answers
Urllib quote_plus
Python
2 votes127 views1 answer
How to return PIL image from opencv
Python
0 vote114 views3 answers
Selenium python login instagram
Python
1 vote198 views1 answer
Python logging basicconfig stdout
Python
0 vote115 views1 answer
Python [remote rejected] master -> master (pre-receive hook declined)
Python
28 votes129 views2 answers
Python string slicing
Python