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 vote336 views1 answer
Django model query add annotation field to show duplicate count
Python
0 vote336 views2 answers
Selenium delete cookies python
Python
3 votes345 views1 answer
Remove commas from string python
Python
0 vote347 views1 answer
Installing required libraries in conda environment
Python
0 vote342 views1 answer
Python Sorted Word frequency count
Python
0 vote355 views1 answer
Switch case python 3.10
Python
1 vote322 views1 answer
Install sklearn-features
Python
0 vote346 views1 answer
Snake water gun game in python
Python
0 vote384 views1 answer
Permission denied when converting dataframe to csv
Python
1 vote346 views1 answer
String to tuple python
Python