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

20 votes354 views3 answers
Accommodation
Python
0 vote316 views1 answer
Numpy prod
Python
0 vote327 views1 answer
Flask send email gmail
Python
7 votes316 views2 answers
Traceback python
Python
0 vote348 views1 answer
Jupiter lab
Python
0 vote323 views2 answers
Generate secret key python
Python
0 vote310 views1 answer
Add new dimension
Python
0 vote289 views1 answer
Python remove middle of string
Python
2 votes366 views2 answers
Flask 'export' is not recognized as an internal or external command, operable program or batch file.
Python Flask
0 vote314 views1 answer
Hewwo wowwd
Python