Answers for "numpy 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])

numpy mean

>> import numpy as np 
>> a=[1,2,3,4,5]
>> np.mean(a)
3.0

mean of a vector in python

>>> import numpy
>>> numbers = [3, 2, 8, 7]
>>> mean = numpy.mean(numbers)
>>> mean
5.0

numpy average

import numpy as np 
a = np.arange(6).reshape(3,2) 
average = np.average(a)