Instantiate your Perceptron object below and have it read the percepGrades.csv file

Special Note: for the final results displayed in your lab report, instantiate your self.c1, self.c2, and self.c3 variables to: 0, 1 and -2 respectively!

Program the object to print out the values of your coefficient-sets as it processes each row of data in the file, and to output the Perceptron's final coefficients.

import csv

student_grades = []

# First open up your file containing the raw student grades

with open("studentGradeFrom.csv", "r") as file:

# Setup your reader with whatever your settings actually are

csv_file = csv.DictReader(file, delimiter=",", quotechar='"')

# Cycle through each row of the csv file

for row in csv_file:

# Calculate the numerical grade of the student

grade = grader(

int(row["test1"]),

int(row["test2"]),

int(row["test3"]),

int(row["test4"])

)

# Calculate the letter score for the student

score = gradeScores(grade)

# Assemble all the data into a dictionary

# Only need to save fields you need in the final output

student_grades.append({

"first_name": row["first_name"],

"last_name": row["last_name"],

"test1": row["test1"],

"test2": row["test2"],

"test3": row["test3"],

"test4": row["test4"],

"grade": grade,

"score": score

})

# Open up a new csv file to save all the grades

with open("studentGradeFrom.csv", "w", newline="") as file:

# List of column names to use as a header for the file

# These will be used to match the dictionary keys set above

# Only need to list the fields you saved above

column_names = [

"first_name", "last_name", "test1", "test2", "test3",

"test4", "grade", "score"

]

# Create the csv writer, using the above headers

csv_file = csv.DictWriter(file, column_names)

# Write the header

csv_file.writeheader()

# Write each dictionary to the csv file

for student in student_grades:

csv_file.writerow(student)

You would need to fine tune this to your exact requirements, but it will hopefully get you going in the right direction. Most of this is documented in the official documentation if you need a specific reference: https://docs.python.org/3.6/library/csv.html.

import csv

student_grades = []

# First open up your file containing the raw student grades

with open("studentGradeFrom.csv", "r") as file:

# Setup your reader with whatever your settings actually are

csv_file = csv.DictReader(file, delimiter=",", quotechar='"')

# Cycle through each row of the csv file

for row in csv_file:

# Calculate the numerical grade of the student

grade = grader(

int(row["test1"]),

int(row["test2"]),

int(row["test3"]),

int(row["test4"])

)

# Calculate the letter score for the student

score = gradeScores(grade)

# Assemble all the data into a dictionary

# Only need to save fields you need in the final output

student_grades.append({

"first_name": row["first_name"],

"last_name": row["last_name"],

"test1": row["test1"],

"test2": row["test2"],

"test3": row["test3"],

"test4": row["test4"],

"grade": grade,

"score": score

})

# Open up a new csv file to save all the grades

with open("studentGradeFrom.csv", "w", newline="") as file:

# List of column names to use as a header for the file

# These will be used to match the dictionary keys set above

# Only need to list the fields you saved above

column_names = [

"first_name", "last_name", "test1", "test2", "test3",

"test4", "grade", "score"

]

# Create the csv writer, using the above headers

csv_file = csv.DictWriter(file, column_names)

# Write the header

csv_file.writeheader()

# Write each dictionary to the csv file

for student in student_grades:

csv_file.writerow(student)