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 vote139 views1 answer
Subprocess the system cannot find the file specifie
Python
7 votes131 views2 answers
Python deepcopy
Python
1 vote127 views1 answer
How to write a python variable to a file
Python
0 vote129 views1 answer
Cv2.imwrite save to folder
Python
0 vote139 views2 answers
Flask heroku
Python
0 vote146 views1 answer
Selenium save page as image
Python
0 vote163 views1 answer
Rotating circular queue in python
Python
94 votes128 views5 answers
How to rename columns using panda object
Python
8 votes161 views2 answers
Python copy paste file
Python
0 vote142 views1 answer
Python - count number of occurence in a column
Python