Description: Answers to Problem 6 answer sheet (MIE 304)
Example command line usage:
$ python problem_6.py --q1 True
'''
import argparse
import os
from utils.load_data import load_csv
from utils.viz_data import x_bar_any_chart_plot
from utils.calc_stats import s_chart_values, x_bar_s_chart_values, chart_control_type
# Globals
Q6_DATA_FP = "../data/06_data.csv"
DATA = load_csv(Q6_DATA_FP)
# Command line arguments
parser = argparse.ArgumentParser()
parser.add_argument('--q5', help='Run question 5')
args = parser.parse_args()
if args.q5:
sample_size = 3 # In each sample, there are 3 values
# Calculate S-chart values
# NOTE: Custom implementation for future questions will require changes to the category information to parse dataframe within the function
S_VALS, S_BAR, S_UCL, S_LCL = s_chart_values(DATA, sample_size,
'Thickness')
# Calculate X-bar chart values
Description: Answers to Problem 2 answer sheet (MIE 304)
Example command line usage:
$ python problem_2.py --q1 True
'''
import argparse
import os
from utils.load_data import load_csv
from utils.viz_data import stem_plot, histogram_plot, cumulative_frequency_plot, box_plot, time_series_plot
from utils.calc_stats import mode_mean_median_calc, IQR, binom, geometric, hyper_geometric, poisson, normal
# Globals
Q2_DATA_FP = "../data/02_data.csv"
DATA = load_csv(Q2_DATA_FP)
# Command line arguments
parser = argparse.ArgumentParser()
parser.add_argument('--q1', help='Run question 1')
parser.add_argument('--q2', help='Run question 2')
parser.add_argument('--q3', help='Run question 3')
parser.add_argument('--q4', help='Run question 4')
parser.add_argument('--q5', help='Run question 5')
parser.add_argument('--q6', help='Run question 6')
parser.add_argument('--q7', help='Run question 7')
parser.add_argument('--q8', help='Run question 8')
parser.add_argument('--q9', help='Run question 9')
parser.add_argument('--q10', help='Run question 10')
parser.add_argument('--q11', help='Run question 11')
parser.add_argument('--q12', help='Run question 12')
'''
import argparse
import os
from utils.load_data import load_csv
from utils.calc_stats import A2, D3, D4
import sys
import pandas as pd
import numpy as np
import scipy.stats as stat
import matplotlib
matplotlib.use('TkAgg') # This is for Debian OS issues
import matplotlib.pyplot as plt
import math
# Globals
DATA_FP = "../data/12_data.csv"
DATA = load_csv(DATA_FP)
# Command line arguments
parser = argparse.ArgumentParser()
parser.add_argument('--q1', help='Run question 1')
args = parser.parse_args()
if args.q1:
'''
This question addresses Q1
'''
print(DATA)
Owner: Mit Jothiravi (1002321258)
Description: Answers to Problem 3 answer sheet (MIE 304)
Example command line usage:
$ python problem_3.py --q1 True
'''
import argparse
import os
from utils.load_data import load_csv
from utils.calc_stats import null_hypothesis_testing, type_2_beta
# Globals
Q3_DATA_FP = "../data/03_data.csv"
DATA = load_csv(Q3_DATA_FP)
# Command line arguments
parser = argparse.ArgumentParser()
parser.add_argument('--q1', help='Run question 1')
parser.add_argument('--q2', help='Run question 2')
parser.add_argument('--q3', help='Run question 3')
parser.add_argument('--q4', help='Run question 4')
args = parser.parse_args()
if args.q1:
null_hypothesis = 12.00 # Given in question
null_hypothesis_testing(DATA, 'Net Contents (Oz)', null_hypothesis)
if args.q2:
given_population_mean = 12.00
import os
from utils.load_data import load_csv
import sys
import pandas as pd
import numpy as np
import scipy.stats as stat
import matplotlib
matplotlib.use('TkAgg') # This is for Debian OS issues
import matplotlib.pyplot as plt
import math
# Globals
Q8_DATA_FP = "../data/08_data.csv"
DATA = load_csv(Q8_DATA_FP)
# Command line arguments
parser = argparse.ArgumentParser()
parser.add_argument('--q1', help='Run question 1')
parser.add_argument('--q2', help='Run question 2')
parser.add_argument('--q3', help='Run question 3')
parser.add_argument('--q4', help='Run question 4')
parser.add_argument('--q6', help='Run question 6')
parser.add_argument('--q7', help='Run question 7')
args = parser.parse_args()
if args.q1:
'''
Will address Q1 Problem 8 sheet
Description: Answers to Problem 5 answer sheet (MIE 304)
Example command line usage:
$ python problem_5.py --q1 True
'''
import argparse
import os
from utils.load_data import load_csv
from utils.viz_data import x_bar_any_chart_plot
from utils.calc_stats import r_chart_values, x_bar_r_chart_values, chart_control_type
# Globals
Q5_DATA_FP = "../data/05_data.csv"
DATA = load_csv(Q5_DATA_FP)
# Command line arguments
parser = argparse.ArgumentParser()
parser.add_argument('--q1', help='Run question 1')
parser.add_argument('--q2', help='Run question 2')
parser.add_argument('--q3', help='Run question 3')
parser.add_argument('--q4', help='Run question 4')
args = parser.parse_args()
if args.q1:
sample_size = 4 # In each sample, there are 4 values
# Calculate R-chart values
# NOTE: Custom implementation for future questions will require changes to the
## parsing mechanism within r_chart_values function
subprocess.check_output(['2to3', '-w', '--no-diffs', file_name + '.py'], stderr=subprocess.PIPE)
except (json.decoder.JSONDecodeError, simplejson.errors.JSONDecodeError) as e:
print("Incorrect ipynb(json) format")
print(e)
continue
except subprocess.CalledProcessError as e:
error_msg = e.stderr.decode()
print(error_msg)
continue
if not is_analyzable(file_name + '.py'):
print("Unassociated codes are exist")
continue
refine_python_code(file_name + '.py')
load_csv(file_name + '.py', repo_path)
# tracer = trace.Trace(ignoredirs=[sys.prefix, sys.exec_prefix], trace=1, count=1)
prev_pkg_name = None
is_useless_repo = True
while True:
print("Start notebook: %s" % REPO_PATH + repo_path['repo'] + '/' + file_name + '.py')
try:
# Trace the python file
ignore_dir = ":".join(sys.path[1:])
subprocess.check_output([PYTHON_BIN, '-m', 'trace',
"--ignore-dir=" + ignore_dir,
'--count', '-C',
"cover/",
file_name + '.py'], stderr=subprocess.PIPE)
