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script.py

# names of hurricanes
names = ['Cuba I', 'San Felipe II Okeechobee', 'Bahamas', 'Cuba II', 'CubaBrownsville', 'Tampico', 'Labor Day', 'New England', 'Carol', 'Janet', 'Carla', 'Hattie', 'Beulah', 'Camille', 'Edith', 'Anita', 'David', 'Allen', 'Gilbert', 'Hugo', 'Andrew', 'Mitch', 'Isabel', 'Ivan', 'Emily', 'Katrina', 'Rita', 'Wilma', 'Dean', 'Felix', 'Matthew', 'Irma', 'Maria', 'Michael']

# months of hurricanes
months = ['October', 'September', 'September', 'November', 'August', 'September', 'September', 'September', 'September', 'September', 'September', 'October', 'September', 'August', 'September', 'September', 'August', 'August', 'September', 'September', 'August', 'October', 'September', 'September', 'July', 'August', 'September', 'October', 'August', 'September', 'October', 'September', 'September', 'October']

# years of hurricanes
years = [1924, 1928, 1932, 1932, 1933, 1933, 1935, 1938, 1953, 1955, 1961, 1961, 1967, 1969, 1971, 1977, 1979, 1980, 1988, 1989, 1992, 1998, 2003, 2004, 2005, 2005, 2005, 2005, 2007, 2007, 2016, 2017, 2017, 2018]

# maximum sustained winds (mph) of hurricanes
max_sustained_winds = [165, 160, 160, 175, 160, 160, 185, 160, 160, 175, 175, 160, 160, 175, 160, 175, 175, 190, 185, 160, 175, 180, 165, 165, 160, 175, 180, 185, 175, 175, 165, 180, 175, 160]

# areas affected by each hurricane
areas_affected = [['Central America', 'Mexico', 'Cuba', 'Florida', 'The Bahamas'], ['Lesser Antilles', 'The Bahamas', 'United States East Coast', 'Atlantic Canada'], ['The Bahamas', 'Northeastern United States'], ['Lesser Antilles', 'Jamaica', 'Cayman Islands', 'Cuba', 'The Bahamas', 'Bermuda'], ['The Bahamas', 'Cuba', 'Florida', 'Texas', 'Tamaulipas'], ['Jamaica', 'Yucatn Peninsula'], ['The Bahamas', 'Florida', 'Georgia', 'The Carolinas', 'Virginia'], ['Southeastern United States', 'Northeastern United States', 'Southwestern Quebec'], ['Bermuda', 'New England', 'Atlantic Canada'], ['Lesser Antilles', 'Central America'], ['Texas', 'Louisiana', 'Midwestern United States'], ['Central America'], ['The Caribbean', 'Mexico', 'Texas'], ['Cuba', 'United States Gulf Coast'], ['The Caribbean', 'Central America', 'Mexico', 'United States Gulf Coast'], ['Mexico'], ['The Caribbean', 'United States East coast'], ['The Caribbean', 'Yucatn Peninsula', 'Mexico', 'South Texas'], ['Jamaica', 'Venezuela', 'Central America', 'Hispaniola', 'Mexico'], ['The Caribbean', 'United States East Coast'], ['The Bahamas', 'Florida', 'United States Gulf Coast'], ['Central America', 'Yucatn Peninsula', 'South Florida'], ['Greater Antilles', 'Bahamas', 'Eastern United States', 'Ontario'], ['The Caribbean', 'Venezuela', 'United States Gulf Coast'], ['Windward Islands', 'Jamaica', 'Mexico', 'Texas'], ['Bahamas', 'United States Gulf Coast'], ['Cuba', 'United States Gulf Coast'], ['Greater Antilles', 'Central America', 'Florida'], ['The Caribbean', 'Central America'], ['Nicaragua', 'Honduras'], ['Antilles', 'Venezuela', 'Colombia', 'United States East Coast', 'Atlantic Canada'], ['Cape Verde', 'The Caribbean', 'British Virgin Islands', 'U.S. Virgin Islands', 'Cuba', 'Florida'], ['Lesser Antilles', 'Virgin Islands', 'Puerto Rico', 'Dominican Republic', 'Turks and Caicos Islands'], ['Central America', 'United States Gulf Coast (especially Florida Panhandle)']]

# damages (USD($)) of hurricanes
damages = ['Damages not recorded', '100M', 'Damages not recorded', '40M', '27.9M', '5M', 'Damages not recorded', '306M', '2M', '65.8M', '326M', '60.3M', '208M', '1.42B', '25.4M', 'Damages not recorded', '1.54B', '1.24B', '7.1B', '10B', '26.5B', '6.2B', '5.37B', '23.3B', '1.01B', '125B', '12B', '29.4B', '1.76B', '720M', '15.1B', '64.8B', '91.6B', '25.1B']

# deaths for each hurricane
deaths = [90,4000,16,3103,179,184,408,682,5,1023,43,319,688,259,37,11,2068,269,318,107,65,19325,51,124,17,1836,125,87,45,133,603,138,3057,74]

# write your update damages function here:
def update_damages(damage_list):
  #Converting number to float
  def convert_to_float(random_string):
    if random_string[-1] == "B":
      new_number = float(random_string[:-1])*1000000000
    elif random_string[-1] == "M":
      new_number = float(random_string[:-1])*1000000
     
    return new_number
  
  updated_list = []
  for a in damage_list:
    if a == "Damages not recorded":
      updated_list.append(a)
    else:
      updated_list.append(convert_to_float(a))  
  return updated_list

      
updated_damage_report = update_damages(damages)
#print(updated_damage_report)





# write your construct hurricane dictionary function here:
def hurricane_dict(h_name, h_month, h_year, h_windspeed, h_affected_area, h_damage, h_death):
  final_dict = {}
  for a in range(len(h_name)):
    my_dict = {'Name': h_name[a], 'Month': h_month[a], 'Year': h_year[a], 'Max Sustained Wind': h_windspeed[a], 'Areas Affected': h_affected_area[a], 'Damage': h_damage[a], 'Deaths': h_death[a]}
    final_dict[h_name[a]] = my_dict
  return final_dict

my_hurricane_dict =  hurricane_dict(names, months, years, max_sustained_winds, areas_affected, updated_damage_report, deaths)   
#print(my_hurricane_dict.get("Cuba I"))







# write your construct hurricane by year dictionary function here:

def hurricane_by_year(random_dict):
  list_of_years = []
  for a in random_dict.values():
    if a.get('Year') not in list_of_years:
      list_of_years.append(a.get('Year'))
  
  final_dict = {}
  for a in list_of_years:
    list_for_this_year = []
    for b in random_dict.values():
      if a == b.get('Year'):
        list_for_this_year.append(b)
    final_dict[a] = list_for_this_year
  return final_dict

my_hurricane_by_year = hurricane_by_year(my_hurricane_dict)

#print(my_hurricane_by_year.get(1932))







# write your count affected areas function here:
def count_affected_areas(random_dict):
  list_of_areas = []
  for a in random_dict.values():
    for b in a.get('Areas Affected'):
      if b not in list_of_areas:
        list_of_areas.append(b)

  final_dict = {}      
  for a in list_of_areas:
    sum_of_a = 0
    for b in random_dict.values():
      for c in b.get('Areas Affected'):
        if a == c:
          sum_of_a += 1
    final_dict[a] = sum_of_a
  return final_dict        

area_frequency = count_affected_areas(my_hurricane_dict)
#print(area_frequency)





# write your find most affected area function here:
def most_affected_area(random_dict):
  final_dict = {}
  list1 = list(random_dict)
  list2 = list(random_dict.values())
  max_num = max(list2)
  max_key = list1[list2.index(max_num)]
  final_dict[max_key] = max_num
  return final_dict

most_affected =  most_affected_area(area_frequency) 
#print(most_affected)







# write your greatest number of deaths function here:
def max_deaths(random_dict):
  my_dict = {}
  list1 = list(random_dict)
  list2 = []
  for a in list(random_dict.values()):
    list2.append(a.get('Deaths'))
  max_num = max(list2)
  max_key = list1[list2.index(max_num)]
  my_dict[max_key] = max_num
  return my_dict

maximum_deaths =   max_deaths(my_hurricane_dict)
#print(maximum_deaths)










# write your catgeorize by mortality function here:
def rate_hurricanes_mortality(random_dict):
  my_dict = {}
  def rate_on_mortality(random_dict_1):
    rating = None
    if random_dict_1.get('Deaths') > 0 and random_dict_1.get('Deaths') <= 100:
      rating = 0
    elif random_dict_1.get('Deaths') > 100 and random_dict_1.get('Deaths') <= 500:
      rating = 1
    elif random_dict_1.get('Deaths') > 500 and random_dict_1.get('Deaths') <= 1000:
      rating = 2
    elif random_dict_1.get('Deaths') > 1000 and random_dict_1.get('Deaths') <= 10000:
      rating = 3      
    else:
      rating = 4
    return rating
  for a in random_dict.values():
    rating1 =  rate_on_mortality(a)
    if rating1 not in my_dict.keys():
      my_dict[rating1] = [a]
    else:
      my_dict[rating1].append(a)
  list1 = list(my_dict)
  list1.sort()
  list2 = []
  for a in list1:
    list2.append(my_dict.get(a))

  my_dict1 = {key: value for key, value in zip(list1, list2)}
  return my_dict1

hurricane_ratings = rate_hurricanes_mortality(my_hurricane_dict)
#print(hurricane_ratings)










# write your greatest damage function here:
def greatest_damage(random_dict):
  list1 = list(random_dict)
  list2 = []
  for a in random_dict.values():
    if type(a.get('Damage')) != str:
      list2.append(a.get('Damage'))
    else:
      list2.append(0)  
  max_num = max(list2)  
  max_key = list1[list2.index(max_num)]
  my_dict = {max_key: max_num}
  return my_dict

greatest_damage_1 =   greatest_damage(my_hurricane_dict)
#print(greatest_damage_1)








# write your catgeorize by damage function here:
def categorize_by_damage(random_dict):
  my_dict = {}
  def rate_on_damage(random_dict_1):
    rating = None
    if type(random_dict_1.get('Damage')) == str:
      rating = 0
    elif random_dict_1.get('Damage') > 0 and random_dict_1.get('Damage') <= 100000000:
      rating = 0
    elif random_dict_1.get('Damage') > 100000000 and random_dict_1.get('Damage') <= 1000000000:
      rating = 1
    elif random_dict_1.get('Damage') > 1000000000 and random_dict_1.get('Damage') <= 10000000000:
      rating = 2
    elif random_dict_1.get('Damage') > 10000000000 and random_dict_1.get('Damage') <= 50000000000:
      rating = 3      
    else:
      rating = 4
    return rating
  for a in random_dict.values():
    rating1 =  rate_on_damage(a)
    if rating1 not in my_dict.keys():
      my_dict[rating1] = [a]
    else:
      my_dict[rating1].append(a)
  list1 = list(my_dict)
  list1.sort()
  list2 = []
  for a in list1:
    list2.append(my_dict.get(a))

  my_dict1 = {key: value for key, value in zip(list1, list2)}
  return my_dict1

hurricanes_ranked_by_damge = categorize_by_damage(my_hurricane_dict)
#print(hurricanes_ranked_by_damge)