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

2 votes164 views1 answer
Python typing as int or float
Python
1 vote131 views2 answers
Tkinter text color button
Python
0 vote172 views1 answer
How to convert categorical data to binary data in python
Python
0 vote190 views1 answer
How to chose right epoch
Python
0 vote163 views1 answer
Using pypyodbc
Python
1 vote197 views7 answers
LightGBM
Python
8 votes172 views3 answers
Cool Things To Do With Python
Python
0 vote194 views2 answers
Selenium check if driver is open python
Python
0 vote187 views1 answer
Dimension of an indez pandas
Python
0 vote168 views1 answer
Access twitter api using tweepy in python
Python