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 vote191 views1 answer
Timedelta to float
Python
1 vote171 views1 answer
Replace all spacec column with underscore in pandas
Python
2 votes177 views1 answer
Python get all variables in class
Python
1 vote185 views1 answer
Django round 2 decimal
Python
0 vote192 views1 answer
Error 302 heroku django
Python
0 vote177 views1 answer
C="He is {} and he is {}".format(a,b) python
Python
0 vote183 views1 answer
How to define an empyt dic tin python
Python
18 votes174 views2 answers
Lists to dictionary python
Python
0 vote179 views1 answer
Jupyter notebook GET 500
Python
3 votes191 views2 answers
Python copy list
Python