Numpy moving 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 moving average

import numpy as np

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

Source: stackoverflow.com

Similar codes

1 vote164 views1 answer
How to get last values or data in django orm
Python
2 votes174 views2 answers
Python last index of item in list
Python
0 vote172 views1 answer
Euclidean algorithm recursive python
Python
0 vote217 views1 answer
Django ninja "schema"
Python Django
1 vote232 views1 answer
Django update increment
Python Django
0 vote181 views1 answer
Run git pull from python script
Python
1 vote156 views2 answers
Get pytorch version
Python
0 vote214 views2 answers
Update a package with pip in django
Python Django
1 vote199 views1 answer
Ubuntu cant find python installation
Python
0 vote142 views1 answer
Bfs in python 3
Python