#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Felix Muzny
11/1/2022
DS 2000
Lecture 16 - string functions, data, designing programs

Logistics:
    - Homework 7 is due Friday @ 9pm
        - Dictionaries are required.
    
    - Quiz 7 is available.
        
    - remote attendance (https://bit.ly/remote-ds2000-muzny)
    
    
 Three ways to participate (please do one of these!)
 1) via the PollEverywhere website: https://pollev.com/muzny
 2) via text: text "muzny" to the number 22333 to join the session
 3) via Poll Everywhere app (available for iOS or Android)
"""

"""
Warm-up 0: Lecture 15
---

Have you watched the asynchronous lecture from last Friday?
A. yes
B. no
C. no, but I'll do that later today

"""

"""
Strings!
---
What do we know so far?

"""

"""
Iterating through strings
---

"""

"""
Using string functions
---

"""


"""
Writing a string function
---

Write a function, count, that takes in one string and one 
letter and counts how many times that letter occurs in the 
given string.
"""

"""
Data: what questions are we asking?
---

Take a look at the dataset:
    https://provost.northeastern.edu/uds/facts/common-data-set/
    
What questions do we have?


For any data set that someone gives you, what questions 
would you want the answers to before you start any analysis?
"""




"""
Designing programs & Functions (warm-ups from Sec 2)
---
"""



"""
    
Given the following two functions, write one new function that 
has the same behavior and can be used for both cases.
"""

# *~*~ program 1 ~*~*
# import data_utils

# def max_rotten(data):
#     rottens = data_utils.get_column(data, 2)
#     return max(rottens)
    

# def max_imdb(data):
#     imdbs = data_utils.get_column(data, 3)
#     return max(imdbs)
    

# def main():    
#     data = data_utils.read_data("movies.csv", skip_header = True,
#                                 type_casts = [str, str, int, float])
    
#     highest_rotten = max_rotten(data)
#     print("maximum rotten tomatoes:", highest_rotten)
    
#     highest_imdb = max_imdb(data)
#     print("maximum imdb:", highest_imdb)
    
# if __name__ == "__main__":
#     main()

"""    
Given the following function, write two new functions that 
are more flexible in combination than this singular function is by
itself.
"""

# # *~*~ program 2 ~*~*
# import data_utils

# def max_rotten_R(data):
#     r_movies = []
#     for movie in data:
#         if movie[1] == "R":
#             r_movies.append(movie)
    
#     rottens = data_utils.get_column(r_movies, 2)
#     return max(rottens)
    

# def main():    
#     data = data_utils.read_data("movies.csv", skip_header = True,
#                                 type_casts = [str, str, int, float])
    
#     highest_rotten_R = max_rotten_R(data)
#     print("maximum rotten tomatoes for R-rated films:", highest_rotten_R)
    
# if __name__ == "__main__":
#     main()


"""    
Given the following function, write two new functions that 
are better designed according to the principle that each function
should do one of the following three things:
    - read in data
    - do a calculation or a data manipulation
    - display a result
    
# Update the corresponding main() function as needed!
"""

# # *~*~ program 3 ~*~*
# import data_utils

# def maximums(data):
#     column_nums = len(data[0])
#     for col_num in range(column_nums):
#         column = data_utils.get_column(data, col_num)

#         maximum_val = max(column)
#         print("The maximum value of this column is:", maximum_val)
    

# def main():    
#     data = data_utils.read_data("movies.csv", skip_header = True,
#                                 type_casts = [str, str, int, float])
    
#     maximums(data)
    
# if __name__ == "__main__":
#     main()









"""
Next time
    - string processing & string manipulation
    - data and data sources
"""