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

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

==== Code:Summation Program plus Filter ====

<sourcesyntaxhighlight lang="python">

<source lang="python">

from math import sqrt, pow

def summarize(x, y, z):

timesumT = []0

val1 = 0

for i in range(40):

time.append(val2 = abs(sqrt(pow(x,2)+pow(y,2)+pow(z,2))-1.0))

if abs(val2 - val1) > 2:

return sum(time)

val2 = val1

</source>

totalsumT = sum(finRes)sumT + val2

val1 = val2

return sum(time)sumT

</syntaxhighlight>

This code represents the function Summarize, which summarizes theeach quarter secondsinput using <math>|(\sqrt ({x^2 + y^2 + z^2)}{-1}|</math>. Then, these values are summarized for ''i in range(40)'', which gives a value for 1 minutesecond. To prevent against data spikes the programs checks the difference between the previous value and the current value, and if the difference is greater than 2 it replaces the current value with the previous value.

==== Core Program ====

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.

<sourcesyntaxhighlight lang="python">

def getData(file):

infile = open(file)

for i in range(100):

line = infile.readline()

finRestotal = []0

for i in range(2419200010080):

lis = 0

for i in range(60):

"""avg all values over min"""

Line 26 ⟶ 34:

row = line.split(",")

res = summarize(float(row[1]), float(row[2]), float(row[3]))

ave lis = lis + res/60.0

if ave <= 5lis/60.0:

total = total + finRes.append(ave)

total = sum(finRes)

return total

print getData("/usr/local/share/cs12/Test1.csv")

</syntaxhighlight>

</source>

The second part of code is responsible for averaging the values over a minute then adding all the minutes over the course of a week 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.