EDIT: I added two other ways to get the average of a list (which are relevant only for Python 3.8+). Here is the comparison that I made:

Neither of things I tried below gives me the average of the column weight >>> allDF ID birthyear weight 0 619040 1962 0.1231231 1 600161 1963 0.981742 2 25602033 1963 1.3123124 3 624870 1987 0.94212

I was building a moving average feature extractor for an sklearn pipeline, so I required that the output of the moving average have the same dimension as the input. What I want is for the moving average to assume the series stays constant, ie a moving average of [1,2,3,4,5] with window 2 would give [1.5,2.5,3.5,4.5,5.0].

Python 3.8 added function fmean to statistics module. Which is faster and always returns float. Which is faster and always returns float. Convert data to floats and compute the arithmetic mean.

Jan 29, 2009 · def exponential_moving_average(period=1000): """ Exponential moving average. Smooths the values in v over ther period. Send in values - at first it'll return a simple average, but as soon as it's gahtered 'period' values, it'll start to use the Exponential Moving Averge to …

Nov 2, 2015 · Enter Score 1: 75 That's a(n) C. Then when it figures the average of the 5 scores I'm trying to get the letter grade to display with the average of the 5 scores. Basically the last thing that prints for the average would be : Average grade is:_ Which is a (n) _. Hopefully that explains it a little better. –

I would like to add the calculated Moving Average as a new column to the right after Value using the same index (Date). Preferably I would also like to rename the calculated moving average to MA . python

Sep 1, 2014 · This definitely worked for me! import numpy as np import csv readdata = csv.reader(open('C:\\...\\your_file_name.csv', 'r')) data = [] for row in readdata: data.append(row) #incase you have a header/title in the first row of your csv file, do the next line else skip it data.pop(0) q1 = [] for i in range(len(data)): q1.append(int(data[i][your_column_number])) print ('Mean of your_column_number ...

Oct 4, 2013 · def average(x): # find average of x which is defined when the function is called print average(my_list) # call function with argument (my_list) The benefit of this is if you have multiple lists, you don't need a new function, just change the argument in the function call.

Jan 27, 2015 · Given an sequence of numbers, for example, seq = [2, 4, 2, 4] Then calculate its mean value using reduce and lambda in python. I've already know one solution: def my_mean(seq): return reduce(l...