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 vote230 views1 answer
Flask buildspec.yml
Python Flask
31 votes152 views3 answers
How to adda vaslues to data frame
Python
0 vote157 views1 answer
Expecting property name enclosed in double quotes json
Python
0 vote154 views1 answer
Runtime errors in python
Python
0 vote147 views1 answer
Newsapi in python
Python
6 votes159 views2 answers
Update jupyter notebook
Python
13 votes142 views2 answers
Google tuner
Python
0 vote149 views1 answer
Reportlab page size a4
Python
7 votes146 views2 answers
Dataframe slice by list of values
Python
-1 vote171 views2 answers
Rename folder python
Python