Python moving average of list

import numpy
def running_mean(x, N):
  """ x == an array of data. N == number of samples per average """
    cumsum = numpy.cumsum(numpy.insert(x, 0, 0)) 
    return (cumsum[N:] - cumsum[:-N]) / float(N)
  
val = [-30.45, -2.65, 56.61, 47.13, 47.95, 30.45, 2.65, -28.31, -47.13, -95.89]
print(running_mean(val, 3))
""" [  7.83666667  33.69666667  50.56333333  41.84333333  27.01666667
   1.59666667 -24.26333333 -57.11      ]	"""

Source: stackoverflow.com

Similar codes

0 vote168 views1 answer
Norm 2 or ocklidos of matrix in python
Python
1 vote171 views1 answer
Calculate highest frequency or mode in pandas dataframe
Python
1 vote159 views1 answer
Two elements at a time in list comprehension
Python
0 vote169 views1 answer
Compare if 2 numbers are relatively equal
Python
4 votes177 views5 answers
Numpy add new column
Python
0 vote165 views1 answer
Import word_tokenize
Python
1 vote175 views1 answer
Python csv update row
Python
1 vote179 views3 answers
Django reverse
Python Django
11 votes159 views2 answers
Format python number with commas
Python
0 vote165 views1 answer
Python math inf
Python