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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:
from decimal import *
def update_damages(damage_list):
  new_list = []
  for item in damage_list:
    if item[-1] == 'B':
      new_list.append(float(Decimal(item[:-1])*1000000000))
    elif item[-1] == 'M':
      new_list.append(float(Decimal(item[:-1])*1000000))
    elif item == 'Damages not recorded':
      new_list.append(item)
  return new_list
updated_damages = update_damages(damages)

# write your construct hurricane dictionary function here:
def hurricane_dictionary(names, months, years, max_sustained_winds, areas_affected, damages, deaths):
  whole_dict = {}
  for i in range(len(names)):
      value_dict = {"Name": names[i], "Month": months[i], "Year": years[i], "Max Sustained Wind": max_sustained_winds[i], "Areas Affected": areas_affected[i], "Damage": damages[i], "Deaths": deaths[i]}
      whole_dict.update({names[i]: value_dict})
  return whole_dict

hurricane_dict = hurricane_dictionary(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths)

# write your construct hurricane by year dictionary function here:

def year_dictionary(names, months, years, max_sustained_winds, areas_affected, damages, deaths):
  whole_dict = {}
  for i in range(6):
      value_dict = {"Name": names[i], "Month": months[i], "Year": years[i], "Max Sustained Wind": max_sustained_winds[i], "Areas Affected": areas_affected[i], "Damage": damages[i], "Deaths": deaths[i]}
      whole_dict.update({years[i]: value_dict})
  return whole_dict

year_dict = year_dictionary(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths)

# write your count affected areas function here:

def count_affected_areas(areas_affected):
  area_dict = {}
  for areas_list in areas_affected:
    for area in areas_list:
      if area not in area_dict:
        area_dict[area] = 1
      else:
        area_dict[area] += 1
  return area_dict

affected_areas_dict = count_affected_areas(areas_affected)

# write your find most affected area function here:

def most_affected(dict):
  max_hit = 0
  for key, value in dict.items():
    if value > max_hit:
      max_hit = value
      max_area = key
    else:
      pass
  return max_area, max_hit

print(most_affected(affected_areas_dict))

# write your greatest number of deaths function here:

def most_deaths(hurricane_dict):
  max_death_toll = 0
  for value_dict in hurricane_dict.values():
    death_toll = value_dict['Deaths']
    if death_toll > max_death_toll:
      max_death_toll = death_toll
      max_death_name = value_dict['Name']
  return max_death_name, max_death_toll

print(most_deaths(hurricane_dict))

# write your catgeorize by mortality function here:

def rate_mortality(hurricane_dict):
  mortality_rating_dict = {0: [], 1: [], 2: [], 3: [], 4: [], 5:[]}
  for value_dict in hurricane_dict.values():
    death_toll = value_dict['Deaths']
    if death_toll ==0:
      mortality_rating_dict[0].append(value_dict)
    elif death_toll <=100:
      mortality_rating_dict[1].append(value_dict)
    elif death_toll <=500:
      mortality_rating_dict[2].append(value_dict)
    elif death_toll <=1000:
      mortality_rating_dict[3].append(value_dict)
    elif death_toll <=10000:
      mortality_rating_dict[4].append(value_dict)
    else:
      mortality_rating_dict[5].append(value_dict)
  return mortality_rating_dict
    
mortality_dict = rate_mortality(hurricane_dict)


# write your greatest damage function here:

def most_damage(hurricane_dict):
  max_damage = 0
  for value_dict in hurricane_dict.values():
    damage = value_dict['Damage']
    if type(damage)==str:
      pass
    elif damage > max_damage:
      max_damage = damage
      max_damage_name = value_dict['Name']
  return max_damage_name, max_damage

print(most_damage(hurricane_dict))


# write your catgeorize by damage function here:

def categorize_damage(hurricane_dict):
  damage_dict = {0: [], 1: [], 2: [], 3: [], 4: [], 5:[]}
  for value_dict in hurricane_dict.values():
    damage = value_dict['Damage']
    if type(damage)==str:
      pass
    elif damage ==0:
      damage_dict[0].append(value_dict)
    elif damage <=100000000:
      damage_dict[1].append(value_dict)
    elif damage <=1000000000:
      damage_dict[2].append(value_dict)
    elif damage <=10000000000:
      damage_dict[3].append(value_dict)
    elif damage <=50000000000:
      damage_dict[4].append(value_dict)
    else:
      damage_dict[5].append(value_dict)
  return damage_dict
   
damage_dict = categorize_damage(hurricane_dict)