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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]

# 1
# Update Recorded Damages
conversion = {"M": 1000000,
              "B": 1000000000}

def update_damages(damages):
  updated_damages = []
  for damage in damages:
    if damage == "Damages not recorded":
      updated_damages.append(damage)
    elif damage[-1] == "M":
      updated_damages.append(float(damage[:-1])*conversion["M"])
    else:
      updated_damages.append(float(damage[:-1])*conversion["B"])
  return updated_damages

# test function by updating damages
new_damages = update_damages(damages)
print(new_damages)
print("")

# 2 
# Create a Table
def create_dict(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths):
  hurricanes = {}
  num_hurricanes = len(names)
  for i in range(num_hurricanes):
    hurricanes[names[i]] = {"Name": names[i], "Month": months[i], "Year": years[i], "Max Sustained Wind": max_sustained_winds[i], "Areas Affected": areas_affected[i], "Damage": new_damages[i], "Deaths": deaths[i]}
  return hurricanes

# Create and view the hurricanes dictionary
hurricanes = create_dict(names, months, years, max_sustained_winds, areas_affected, new_damages, deaths)
print(hurricanes)
print("")

# 3
# Organizing by Year
def dict_by_year(dictionary):
  hurricanes_by_year = {}
  for hurricane in dictionary:
    current_year = dictionary[hurricane]["Year"]
    current_hurricane = dictionary[hurricane]
    if current_year not in hurricanes_by_year:
      hurricanes_by_year[current_year] = [current_hurricane]
    else:
      hurricanes_by_year[current_year].append(current_hurricane)
  return hurricanes_by_year

# create a new dictionary of hurricanes with year and key
hurricanes_by_year = dict_by_year(hurricanes)
print(hurricanes_by_year)
print("")

# 4
# Counting Damaged Areas
def affected_areas_count(dictionary):
  affected_areas_count = {}
  for hurricane in dictionary:
    for area in dictionary[hurricane]["Areas Affected"]:
      if area not in affected_areas_count:
        affected_areas_count[area] = 1
      else:
        affected_areas_count[area] += 1
  return affected_areas_count

# create dictionary of areas to store the number of hurricanes involved in
affected_areas_count_dict = affected_areas_count(hurricanes)
print(affected_areas_count_dict)
print("")

# 5 
# Calculating Maximum Hurricane Count
def ident_max(dictionary):
  max_area = "Mexico"
  max_area_count = 0
  for area in dictionary:
    if dictionary[area] < max_area_count:
      max_area = max_area
      max_area_count = max_area_count
    else:
      max_area = area
      max_area_count = dictionary[area]
  return print("The most affected area is " + max_area + ", affected by " + str(max_area_count) + " hurricanes in total.")

# find most frequently affected area and the number of hurricanes involved in
ident_max(affected_areas_count_dict)
print("")

# 6
# Calculating the Deadliest Hurricane
def deadliest(dictionary):
  max_mortality_cane = 'Cuba I'
  max_mortality = 0
  for hurricane in dictionary:
    if dictionary[hurricane]["Deaths"] < max_mortality:
      max_mortality_cane = max_mortality_cane
      max_mortality = max_mortality
    else:
      max_mortality_cane = hurricane
      max_mortality = dictionary[hurricane]["Deaths"]
  return print("The deadliest hurricane is " + max_mortality_cane + ", with " + str(max_mortality) + " deaths in total.")

# find highest mortality hurricane and the number of deaths
deadliest(hurricanes)
print("")

# 7
# Rating Hurricanes by Mortality
mortality_scale = {0: 0,
                   1: 100,
                   2: 500,
                   3: 1000,
                   4: 10000}

def create_mort_dict(dictionary):
  hurricanes_by_mortality = {0:[],1:[],2:[],3:[],4:[],5:[]}
  for hurricane in dictionary:
    if dictionary[hurricane]["Deaths"] == mortality_scale[0]:
      hurricanes_by_mortality[0].append(dictionary[hurricane])
    elif dictionary[hurricane]["Deaths"] > mortality_scale[0] and dictionary[hurricane]["Deaths"] <= mortality_scale[1]:
      hurricanes_by_mortality[1].append(dictionary[hurricane])
    elif dictionary[hurricane]["Deaths"] > mortality_scale[1] and dictionary[hurricane]["Deaths"] <= mortality_scale[2]:
      hurricanes_by_mortality[2].append(dictionary[hurricane])
    elif dictionary[hurricane]["Deaths"] > mortality_scale[2] and dictionary[hurricane]["Deaths"] <= mortality_scale[3]:
      hurricanes_by_mortality[3].append(dictionary[hurricane])
    elif dictionary[hurricane]["Deaths"] > mortality_scale[3] and dictionary[hurricane]["Deaths"] <= mortality_scale[4]:
      hurricanes_by_mortality[4].append(dictionary[hurricane])
    elif dictionary[hurricane]["Deaths"] > mortality_scale[4]:
      hurricanes_by_mortality[5].append(dictionary[hurricane])
  return hurricanes_by_mortality

# categorize hurricanes in new dictionary with mortality severity as key
mortality_rank_dict = create_mort_dict(hurricanes)
print(mortality_rank_dict)
print("")

# 8 Calculating Hurricane Maximum Damage
def find_biggest_damage(dictionary):
  max_damage_cane = 'Cuba I'
  max_damage = 0
  for hurricane in dictionary:
    if dictionary[hurricane]["Damage"] == "Damages not recorded":
      pass
    elif dictionary[hurricane]["Damage"] <= max_damage:
      max_damage_cane = max_damage_cane
      max_damage = max_damage
    else:
      max_damage_cane = hurricane
      max_damage = dictionary[hurricane]["Damage"]
  return print("The hurricane that caused the biggest damages is " + max_damage_cane + ", with " + str(max_damage) + " dollars in damages in total.")

# find highest damage inducing hurricane and its total cost
find_biggest_damage(hurricanes)
print("")

# 9
# Rating Hurricanes by Damage
damage_scale = {0: 0,
                1: 100000000,
                2: 1000000000,
                3: 10000000000,
                4: 50000000000}
  
def create_damages_dict(dictionary):
  hurricanes_by_damage = {0:[],1:[],2:[],3:[],4:[],5:[]}
  for hurricane in dictionary:
    if dictionary[hurricane]["Damage"] == "Damages not recorded":
      hurricanes_by_damage[0].append(dictionary[hurricane])
    elif dictionary[hurricane]["Damage"] == damage_scale[0]:
      hurricanes_by_damage[0].append(dictionary[hurricane])
    elif dictionary[hurricane]["Damage"] == damage_scale[0] and dictionary[hurricane]["Damage"] <= damage_scale[1]:
      hurricanes_by_damage[1].append(dictionary[hurricane])
    elif dictionary[hurricane]["Damage"] > damage_scale[1] and dictionary[hurricane]["Damage"] <= damage_scale[2]:
      hurricanes_by_damage[2].append(dictionary[hurricane])
    elif dictionary[hurricane]["Damage"] > damage_scale[2] and dictionary[hurricane]["Damage"] <= damage_scale[3]:
      hurricanes_by_damage[3].append(dictionary[hurricane])
    elif dictionary[hurricane]["Damage"] > damage_scale[3] and dictionary[hurricane]["Damage"] <= damage_scale[4]:
      hurricanes_by_damage[4].append(dictionary[hurricane])
    elif dictionary[hurricane]["Damage"] > damage_scale[4]:
      hurricanes_by_damage[5].append(dictionary[hurricane])
  return hurricanes_by_damage
  
# categorize hurricanes in new dictionary with damage severity as key
damages_rank_dict = create_damages_dict(hurricanes)
print(damages_rank_dict)
print("")