Example 1: 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])
Example 2: numpy mean
>> import numpy as np
>> a=[1,2,3,4,5]
>> np.mean(a)
3.0
Example 3: mean of a vector in python
>>> import numpy
>>> numbers = [3, 2, 8, 7]
>>> mean = numpy.mean(numbers)
>>> mean
5.0
Example 4: numpy average
import numpy as np
a = np.arange(6).reshape(3,2)
average = np.average(a)