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 vote165 views1 answer
Code folding vim python
Python
0 vote157 views1 answer
Labelencoder update
Python
2 votes153 views2 answers
Copy image from one folder to another in python
Python
1 vote157 views1 answer
How to convert async function to sync function in python
Python
34 votes169 views2 answers
Train-test split code in pandas
Python
2 votes166 views4 answers
Python web scraping
Python
24 votes142 views6 answers
Display all rows pandas
Python
0 vote146 views1 answer
Proper function pandas
Python
5 votes156 views1 answer
Python pyautogui how to change the screenshot location
Python
0 vote173 views1 answer
How to config django templates with pathlib
Python