homework_3.py

# -*- coding: utf-8 -*-
"""
Spyder Editor

This is a temporary script file.
"""

"""
Homework 3.

We will be submitting this assignment on Canvas.
It's due before Feb 4th 11:59pm.

"""


# Problem 1
# This exercise is taken from Think Python 2nd Edition
# The following functions are all intended to check whether a string contains
# any lowercase letters, but at least some of them are wrong.
# For each function, describe what the function actually does
# (assuming that the parameter is a string).
# Write your answer in this file.

# This function checks if the first letter is upper or lower case, but ends 
# every time after chacking the first (one) letter.
def any_lowercase1(s):
    for c in s:
        if c.islower():
            return True
        else:
            return False

# This function checks if "c" is lowecase which is always "True" as a string 
# and not a boolean value, therefore this function doesn't work either. 
def any_lowercase2(s):
    for c in s:
        if 'c'.islower():
            return 'True'
        else:
            return 'False'

# For every letter in string it writes T/F in flag, but overwrites for each letter,
# so it will return if the last letter is lowercase. This function does not give us what we want.
            
def any_lowercase3(s):
    for c in s:
        flag = c.islower()
    return flag

# This function works. Logical OR: accumulating the value by using the logical OR operator. 
# It starts with False as a value of the flag for the case when all letters in a 
# string are upper case c.islower() is always False. Whenever there is a lowercase letter c.islower()
# will be true. Once the flag is true it will always be true, because any combination 
# (True, False) = True.
def any_lowercase4(s):
    flag = False
    for c in s:
        flag = flag or c.islower()
    return flag

# This function doesn't work for our purpose. It works the opposite way,
# it checks if all the letters are lower case. If there is one or more upper
# case it returns False
def any_lowercase5(s):
    for c in s:
        if not c.islower():
            return False
    return True

# Problem 2
# You retrieved data from a file and get timestamps
# The timestamps are strings are on a 24 hr clock.
# They are formatted like this: "1990-12-01 1300" "1990-01-01 0100"
# The timestamps are contained in a list.
# Write code that creates a list of dictionaries where each dictionary
# looks like {"year": 1990, "month": 1, "day": 1, "hour": 1, "minute": 0}
# Note that you need to convert the times to ints

### NEEDS CORRECT SORTING
data = ["1990-12-01 1300", "1990-01-01 0100"]

def create_date_dictionary(date_string):
    '''Creates a dictionary from a date_time string in format "yyyy-mm-dd hhmm"'''
    date = (date_string[:10])
    time = date_string[11:]
    year = int(date[:4])
    month = int(date[5:7])
    day = int(date[8:10])
    hour = int(time[:2])
    minute = int(time[2:])
    return {"year" : year,
            "month" : month,
            "day" : day,
            "hour" : hour,
            "minute" : minute}
    

new_list = [create_date_dictionary(element) for element in data]
print(new_list)

# Problem 3
# You will have the oscar_awards for some years as a list. The list is separated by: year of award (integer), 
# first name of actress (string), last name of actress (string), role (string), movie(string),date of birth (string).
# Create a dictionary using the the first name as a key, and the rest of the info as a list.
# You may use a dictionary comprehension or a for loop.

oscar_list = [
    [2012, 'Jennifer', 'Lawrence', 'Tiffany Maxwell', 'Silver Linings Playbook', '08/15/1990'],
    [2011, 'Meryl', 'Streep', 'Margaret Thatcher', 'The Iron Lady', '06/22/1949'],
    [2010, 'Natalie', 'Portman', 'Nina Sayers', 'Black Swan', '06/09/1981'],
    [2009, 'Sandra', 'Bullock', 'Leigh Anne Tuohy', 'The Blind Side', '07/26/1964']
]

def create_oscar_dictionary(sequence):
    oscar_dictionary = {}
    for oscar in sequence:
        first_name = oscar[1]
        the_rest = oscar[:1] + oscar[2:]
        oscar_dictionary.update({first_name : the_rest})
    return oscar_dictionary

print(create_oscar_dictionary(oscar_list))

# Problem 4
# You will have a dictionary of the oscar_awards for some years and the name of actress as a key.
# The last value of each list contains the timestamp of the actress's birthday.
# Get the age on 01/01/2019 of each winner.
# Print their first name and age e.g. Sandra 20 (not her real age in the example)

from datetime import date

oscar_awards = {
    'Sandra':   [2009, 'Leigh Anne Tuohy', 'The Blind Side', '07/26/1964'],
    'Natalie':  [2010, 'Nina Sayers', 'Black Swan', '06/09/1981'],
    'Meryl':    [2011, 'Margaret Thatcher', 'The Iron Lady', '06/22/1949'],
    'Jennifer': [2012, 'Tiffany Maxwell', 'Silver Linings Playbook', '08/15/1990']
}

def create_date_from_string(string, delimiter = "/"):
    my_date = string.split(delimiter)
    my_date_list = [int(number) for number in my_date]
    return date(my_date_list[2], my_date_list[0], my_date_list[1])
    
print(create_date_from_string('06/22/1949')) 
   
def calculate_age(born):
    new_year_2019 = create_date_from_string('01/01/2019')
    born_date = create_date_from_string(born)
    return new_year_2019.year - born_date.year - ((new_year_2019.month, new_year_2019.day) < (born_date.month, born_date.day))

for first_name, the_rest in oscar_awards.items():
    date_of_birth = the_rest[-1]
    print(first_name, calculate_age(date_of_birth))
    
# Problem 5
# Same dataset of problem 4. The last value of the list contain the timestamp of their birthday
# Replace each last index by their age in 2019. Output:
# Oscar_awards = {'Sandra':   [2009, 'Leigh Anne Tuohy', 'The Blind Sid', '55 yrs'], 
#				'Natalie':  [2010, 'Nina Sayers', 'Black Swan', '38 yrs'], 
#				'Meryl':    [2011, 'Margaret Thatcher', 'The Iron Lady', '70 yrs'], 
#				'Jennifer': [2012, 'Tiffany Maxwell', 'Silver Linings Playbook', '28 yrs']
#				}

oscar_awards = {
    'Sandra':   [2009, 'Leigh Anne Tuohy', 'The Blind Side', '07/26/1964'],
    'Natalie':  [2010, 'Nina Sayers', 'Black Swan', '06/09/1981'],
    'Meryl':    [2011, 'Margaret Thatcher', 'The Iron Lady', '06/22/1949'],
    'Jennifer': [2012, 'Tiffany Maxwell', 'Silver Linings Playbook', '08/15/1990']
}

for first_name, the_rest in oscar_awards.items():
    date_of_birth = the_rest[-1]
    the_rest[-1] = calculate_age(date_of_birth)
    
print(oscar_awards)


# Problem 6
# With the dataset of problem 4 and the birthplace list provided below,
# append the birthplace to the end of each actors list.

oscar_awards = {
    'Sandra':   [2009, 'Leigh Anne Tuohy', 'The Blind Side', '07/26/1964'],
    'Natalie':  [2010, 'Nina Sayers', 'Black Swan', '06/09/1981'],
    'Meryl':    [2011, 'Margaret Thatcher', 'The Iron Lady', '06/22/1949'],
    'Jennifer': [2012, 'Tiffany Maxwell', 'Silver Linings Playbook', '08/15/1990']
}

birthplaces = [
    ['Jennifer Lawrence', 'Kentucky'],
    ['Meryl Streep', 'New Jersey'],
    ['Natalie Portman', 'Jerusalem'],
    ['Sandra Bullock', 'Virginia']
]

birthplace_dict = {}
for birthplace in birthplaces:
    first_name_2 = birthplace[0].split(" ")[0]
    birthplace_dict.update({first_name_2 : birthplace[1]})

for first_name, the_rest in oscar_awards.items():
    the_rest.append(birthplace_dict[first_name])

print(oscar_awards)