Remove the newline character in a list read from a file [duplicate]

Solution 1:

str.strip() returns a string with leading+trailing whitespace removed, .lstrip and .rstrip for only leading and trailing respectively.

grades.append(lists[i].rstrip('\n').split(','))

Solution 2:

You can use the strip() function to remove trailing (and leading) whitespace; passing it an argument will let you specify which whitespace:

for i in range(len(lists)):
    grades.append(lists[i].strip('\n'))

It looks like you can just simplify the whole block though, since if your file stores one ID per line grades is just lists with newlines stripped:

Before

lists = files.readlines()
grades = []

for i in range(len(lists)):
    grades.append(lists[i].split(","))

After

grades = [x.strip() for x in files.readlines()]

(the above is a list comprehension)

Finally, you can loop over a list directly, instead of using an index:

Before

for i in range(len(grades)):
    # do something with grades[i]

After

for thisGrade in grades:
    # do something with thisGrade

Solution 3:

You could actually put the newlines to good use by reading the entire file into memory as a single long string and then use them to split that into the list of grades by using the string splitlines() method which, by default, removes them in the process.

with open("grades.dat") as file:
    grades = [line.split(",") for line in file.read().splitlines()]
...

Solution 4:

Here are various optimisations and applications of proper Python style to make your code a lot neater. I've put in some optional code using the csv module, which is more desirable than parsing it manually. I've also put in a bit of namedtuple goodness, but I don't use the attributes that then provides. Names of the parts of the namedtuple are inaccurate, you'll need to correct them.

import csv
from collections import namedtuple
from time import localtime, strftime

# Method one, reading the file into lists manually (less desirable)
with open('grades.dat') as files:
    grades = [[e.strip() for e in s.split(',')] for s in files]

# Method two, using csv and namedtuple
StudentRecord = namedtuple('StudentRecord', 'id, lastname, firstname, something, homework1, homework2, homework3, homework4, homework5, homework6, homework7, exam1, exam2, exam3')
grades = map(StudentRecord._make, csv.reader(open('grades.dat')))
# Now you could have student.id, student.lastname, etc.
# Skipping the namedtuple, you could do grades = map(tuple, csv.reader(open('grades.dat')))

request = open('requests.dat', 'w')
cont = 'y'

while cont.lower() == 'y':
    answer = raw_input('Please enter the Student I.D. of whom you are looking: ')
    for student in grades:
        if answer == student[0]:
            print '%s, %s      %s      %s' % (student[1], student[2], student[0], student[3])
            time = strftime('%a, %b %d %Y %H:%M:%S', localtime())
            print time
            print 'Exams - %s, %s, %s' % student[11:14]
            print 'Homework - %s, %s, %s, %s, %s, %s, %s' % student[4:11]
            total = sum(int(x) for x in student[4:14])
            print 'Total points earned - %d' % total
            grade = total / 5.5
            if grade >= 90:
                letter = 'an A'
            elif grade >= 80:
                letter = 'a B'
            elif grade >= 70:
                letter = 'a C'
            elif grade >= 60:
                letter = 'a D'
            else:
                letter = 'an F'

            if letter = 'an A':
                print 'Grade: %s, that is equal to %s.' % (grade, letter)
            else:
                print 'Grade: %.2f, that is equal to %s.' % (grade, letter)

            request.write('%s %s, %s %s\n' % (student[0], student[1], student[2], time))


    print
    cont = raw_input('Would you like to search again? ')

print 'Goodbye.'