User:Kithira/Course Pages/CSCI 12/Assignment 2/Group 1/Homework 4

Final Project by: Christopher Chandler, Ashley Kim, Marina Chaves Caldieraro

Code:

from math import sqrt, pow
def summarize(x, y, z):
    time = []
    for i in range(40):
        time.append(abs(sqrt(pow(x,2)+pow(y,2)+pow(z,2))-1.0))
    return sum(time)

This code represents the function Summarize, which summarizes the quarter seconds using |(sqrt (x^2 + y^2 + z^2)-1|. Then, these values are summarized for i in range(40), which gives a value for 1 minute.

def getData(file):
    infile = open(file)
    for i in range(100):
        line = infile.readline()
    finRes = []
    for i in range(24192000):
        for i in range(60):
            """avg all values over min"""
            line = infile.readline()
            row = line.split(",")
            res = summarize(float(row[1]), float(row[2]), float(row[3]))
        ave = res/60.0
        if ave < 5.0:
            finRes.append(ave)
        total = sum(finRes)
    return total
print getData("/usr/local/share/cs12/Test1.csv")

The second part of code is responsible for averaging the values over a minute then adding all the minutes to find a total result that determines the intensity classification. The filter we used deletes any value above 5.0 per minute. We determined this boundary value based off of the plot of the original summarized data over 10 hours. The range of 24192000 represents the total seconds in a week. Finally, we determined that our test subject was a moderately active person.