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

0 vote230 views1 answer
Resizing django embed player
Python Django
0 vote186 views1 answer
Sqlite query using string as parameter in python
Python
0 vote191 views1 answer
Python equivalent of R sample function
Python
0 vote181 views1 answer
How to sum the revenue from every day in a dataframe python
Python
11 votes190 views2 answers
Set os environment variable python
Python
0 vote218 views1 answer
1024x768
Python
16 votes176 views4 answers
Sort tuple list python
Python
1 vote153 views1 answer
Adding new column to existing DataFrame in Pandas by assigning a list
Python
0 vote192 views1 answer
Check if file already existing
Python
33 votes185 views5 answers
Python check if string contains symbols
Python