Hello! I am trying to write a python program which takes one command line argument i (i [2, 29]) (and the data file) and computes the following values for the i-th attribute of the dataset: N (number of objects), min, max, mean, standard deviation, Q1, median, Q3, and IQR.

I have a .csv file which contains energy data from: http://archive.ics.uci.edu/ml/machine-learning-databases/00374/

I have a template formatted so that:

def calcAttributes( file, ithAttr): # Default value of 0,infinity,-infinity are assigned to all the variables as required.

numObj, minValue, maxValue, mean, stdev, Q1, median, Q3, IQR = [0,"inf","-inf",0,0,0,0,0,0]

return numObj, minValue, maxValue, mean, stdev, Q1, median, Q3, IQR

In this function, I am trying to assign the values to the respective variables, utilizing the data set. However, I have no idea how to begin going about it. Any help would be greatly appreciated.

I do not just want the solution to this issue, a description of what each line does/ why it is important would really help me to understand what is going on in this code. (could just be commented into the code or whatever works best)