SOLVED;HOMEWORK 06: FILE I/O

The goal of this homework is for you to showcase your knowledge about how to properly manipulate files. Refer to the rubric to see how points will be rewarded for each function. You have been given HW6.py to fill out with instructions in the docstrings. However, below you will find more detailed information to complete your assignment.  
Part 1: CSV and Data Analysis

You have been provided with a comma-separated values file (a .csv). In this section of the assignment you will be reading this file and writing functions to get statistics and data from it. You are not required to use the csv module, but it might be useful to do so. In order to get some more practice with CSV in Python, these resources might be helpful:

    • https://pythonprogramming.net/reading-csv-files-python-3/
    • https://docs.python.org/3/library/csv.html

Description of the Dataset:

The file, data.csv, contains ~900 entries. It has the Real Estate data from house sales in Sacramento over a two-month period. This data is in no way representative of larger data sets, but it has very good and interesting data we can use. It includes the following variables/columns: street, city, zip,

state, beds, baths, sq__ft, typ, sale_date, price, latitude, and  longitude.

Assignment:

Do not modify in any way the dataset that has been given to you as small changes might make your assignment fail test cases. For the purpose of this assignment you can assume that the strings of the house types are case sensitive. This means that the for example the house type ‘Condo’ is not the same as ‘condo’.

Complete the following functions:

Function name: affordable_homes

Parameters: max_price (int), min_size (int), num_homes (int), out_file (string)
Return value: None

Description: You will write to the file, outFile, a certain number of homes, given by the parameter num_homes, that cost strictly less than the max_price and are strictly greater than the min_size. If no homes meet the qualifications, then leave out_file empty. The homes that meet the qualifications will be written to out_file in order from cheapest to most expensive in the following format:

    1. ADDRESS: [HOUSE ADDRESS] COST: $[HOUSE COST]
    2. ADDRESS: [HOUSE ADDRESS] COST: $[HOUSE COST]

...

...

Notes on Formatting:

    1. Every line of the file must end in a newline character '\n' including the last line of the file.

    2. The Cost line must be indented by a tab character '\t' from the left side of the file, and each monetary amount must be preceded by a dollar sign.
    3. Run HW6_test.py to verify that your formatting is correct. 
Test Cases:

>>> affordable_homes(200000, 1000, 2, 'homes.txt')





















>>> affordable_homes(100000, 1100, 5, 'homes.txt')




















Function name: home_profile

Parameters: address (string), redo_file (boolean)
Return value: None

Description: Write a profile of the home whose address (string) is passed into the function to a file named profileFile.txt. Assume the address given is always valid. If the boolean value redo_file is True, then start the file over (begin at a blank file and write the house description to the initially empty file). If redo_file is False, then simply append the description of the address passed in to the bottom of the file. Write the address of the home to profileFile.txt in the following format:

Address:

CS1301 - HOMEWORK 06: FILE I/O
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[ADDRESS OF HOME PASSED IN]

[CITY], [STATE]
Rooms:

[NUMBER OF BEDROOMS] beds, [NUMBER OF BATHS], baths


Notes on Formatting:

    1. Every line of the file must end in a newline character '\n'.
    2. The last line of the file must end in two newline characters (to make a distinction between houses when more than one description is contained in the file) '\n\n'.

    3. Run HW6_test.py to verify that your formatting is correct.
Test Cases:

>>> home_profile('3820 NATOMA WAY', True)















>>> home_profile('2015 PROMONTORY POINT LN', False)





















>>> home_profile('1500 ORANGE HILL LN', True)

CS1301 - HOMEWORK 06: FILE I/O
5


















Function name: sold_day

Parameters: day (string)

Return value: int

Description: Write a function called sold_days that will take in a three letter abbreviation of a day of the week. Count up how many houses were sold on that day of the week. Return the number of houses sold on that day as an int. If an invalid string is passed in as the day, return -1.

Test Cases:

    • test1 = sold_day("Tue")
    • print(test1)

177

    • test2 = sold_day("Mon")

    • print(test2)

268

    • test3 = sold_day("Tuesday")

    • print(test3)

-1

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Part 2: Writing to Files

Function name: make_roster

Parameters: students (str), filename (str)

Return value:  None

Description: Take in a string of students. The format of the students will be “First Last, First Last, First Last”. Write the names of the students to the file specified by the parameter. Write each line in the format “Last, First”. Each student should be in a different line, and the students should be sorted alphabetical by last name. Make sure there is no newline character after the last student

Test Cases:

>>> make_roster("Caroline Kish, David Wang, First Last", "out1.txt")















>>> make_roster("Rodrigo Mejia, Daniel Marcos, Daniel Barrundia", "out2.txt")


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Function name: choose_group

Parameters: aList(str), num (int), filename (str)

Return value:  Boolean (True or False)

Description: Write a function that takes in a list of student names. You will form a group of size num from the group of names. You will choose the last num students in the list. You will write out the names of the students who will form the group to the filename passed in. This will be the format:


Team: [Name1], [Name2], ..., [NameNum]

If there are not enough students for a group, write ‘Not enough people for a group.’ to the file. If there are zero people on a team, then leave the file empty. Finally, return True if there are enough people to form a group and False otherwise.

Notes on Formatting:

    1. The file will only be one line no matter how many names there are so it should contain no newline characters ('\n').

Test Cases:

    • test_01 = choose_group(["Cathy", "Kelly", "Caroline", "Elena"], 4, 'group_test_01.txt')
    • print(test_01)
True

    • test_02 = choose_group(["David", "John", "Daniel", "Cory"], 10, 'group_test_02.txt')
    • print(test_02)
False

    • test_03 = choose_group(["Betty", "Veronica", "Jughead", "Archie", "Zack"], 2, 'group_test_03.txt')
    • print(test_03)

True

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Part 3: Reading Files

Assume the text files in this section are formatted in the following way:

Student 1

Test 1: score

Test 2: score

...

Student 2

Test 1: score

Test 2: DNT

Test 3: score

...

The student’s name will be followed by a variable number of tests, each on its own line. After the test number and a colon, if the student took that test then the float of their score is given. If the student did not take a certain test, DNT will be written instead.


Function name: get_roster

Parameters: file_name (str)

Return value:  roster    (list)

Description: Read in a file (that has the same format shown above). Generate a list with every student’s name. Make sure the names do not contain newline characters (\n) and are in the order they appear in the file. Assume the passed in filename is a valid file.

Test Cases:

    • test1 = get_roster("scores1.txt")

    • print(test1)

['Iron Man', 'Hulk', 'Captain America']

    • test2 = get_roster("scores2.txt")

    • print(test2)

['Batman', 'Wonder Woman', 'Superman']

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Function name: tests_missed

Parameters: file_name (str)

Return value: tests_missed (list)

Description: Read in a file (that has the same format shown above). For every DNT scores, add the test number to a list. Return the list at the end. The order of tests should be the same order as the DNT scores are encountered. If multiple people did not take the same test, the test number should be included in the list multiple times. Assume the passed in filename is a valid file.

Test Cases:

    • tests_missed("scores1.txt") [4, 5]

    • tests_missed("scores2.txt") [4, 5, 2, 3, 5]


Function name: find_avg

Parameters: file_name (str), student_name (str)

Return value: student_avg (float)

Description: Read in a file (that has the same format shown above). Find the student specified by the parameter. Generate the average of all the student’s score and return the average. If the student has a DNT, disregard that score (do not use that to compute the average). Round the answer to 2 decimal places. Assume not two students have the same name and every student will have at least one valid test. If the name of the student passed in is not in the file, return 0. Assume the passed in filename is a valid file.

Test Cases:

    • find_avg("scores1.txt", "Iron Man") 95.44
    • test1 = find_avg("scores1.txt", "Iron Man")

    • print(test1)

95.44

    • test2 = find_avg("scores2.txt", "Wonder Woman")

    • print(test2)

97.86

    • test3 = find_avg("scores1.txt", "Superman")

    • print(test3)

0.0

CS1301 - HOMEWORK 06: FILE I/O


Grading Rubric

-  affordable_homes:
15
pts
-  home_profile:
10
pts
-
sold_day:
10
pts
-
make_roster:
15
pts
-
choose_group:
10
pts
-
get_roster:
10
pts
-
tests_missed:
10
pts
-
find_avg:
20
pts
-
Total
100/100 pts


Provided
10


The following file(s) have been provided to you. There are several, but you will only edit one of them:

1. HW6.py

This is the file you will edit and implement. All instructions for what the methods should do are in the docstrings.
2. HW6test.py
This is a file containing tests for you to use if you will like to debug and test your code. You are not required to edit, submit, or even use this file.



Deliverables

You must submit all of the following file(s). Please make sure the filename matches the filename(s) below. Be sure you receive the confirmation email from T-Square, and then download your uploaded files to a new folder and run them.

1.  HW6.py

If this file does not run (if it encounters an error while trying to run), you will get no credit on the assignment.