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

0 vote156 views1 answer
Na.kalman in python
Python
3 votes179 views2 answers
Install decouple python
Python
13 votes164 views6 answers
Python format decimal
Python
1 vote213 views2 answers
Django password hashing
Python Django
0 vote202 views1 answer
Pytorch older versions
Python
1 vote208 views1 answer
For loop in django
Python Django
4 votes175 views2 answers
Python socket recv timeout
Python
0 vote182 views2 answers
Fix python code
Python
0 vote152 views1 answer
Python max function with lambda
Python
0 vote173 views1 answer
Take union of two dataframes pandas
Python