Python - Calculate average for every column in a csv file

Question

I\'m new in Python and I\'m trying to get the average of every (column or row) of a csv file for then select the values that are higher than the double of the average of its

Answer 1

I hope this helps you out......Some help....here is what I would do - which is use numpy:

    # ==========================
    import numpy as np
    import csv as csv

    #  Assume that you have 2 columns and a header-row: The Columns are (1) 
    #  question # ...1; (2) question 2
    # ========================================

    readdata = csv.reader(open('filename.csv', 'r'))  #this is the file you 
    # ....will write your original file to....============
    data = []
    for row in readdata:
    data.append(row)
    Header = data[0]
    data.pop(0)
    q1 = []
    q2 = []
    # ========================================

    for i in range(len(data)):
        q1.append(int(data[i][1]))
        q2.append(int(data[i][2]))
    # ========================================
    # ========================================
    # === Means/Variance - Work-up Section ===
    # ========================================
    print ('Mean - Question-1:            ', (np.mean(q1)))
    print ('Variance,Question-1:          ', (np.var(q1)))
    print ('==============================================')
    print ('Mean - Question-2:            ', (np.mean(q2)))
    print ('Variance,Question-2:          ', (np.var(q2)))