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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 convert_to_float(array):
  array_float = []
  for cost in array:
    if cost[-1] == 'M':
      array_float.append(float(cost.strip('M'))*conversion['M'])
    if cost[-1] == 'B':
      array_float.append(float(cost.strip('B'))*conversion['B'])
    if cost == 'Damages not recorded':
      array_float.append(cost)
  return array_float

# test function by updating damages
damages_float = convert_to_float(damages)
print(damages_float)
# 2 
# Create a Table
def create_hurricane_dictionary():
  index = 0
  hurricanes_all = {}
  for name in names:
    hurricane_dictionary = {"Name": names[index], "Month": months[index], "Year": years[index], "Max Sustained Wind": max_sustained_winds[index], "Areas Affected": areas_affected[index], "Damage": damages_float[index], "Deaths": deaths[index]}
    hurricanes_all[names[index]] = (hurricane_dictionary)
    index += 1
  return hurricanes_all

# Create and view the hurricanes dictionary
hurricanes = create_hurricane_dictionary()

# 3
# Organizing by Year
def sort_hurricanes_by_year(dictionary):
  sorted_by_year = {}
  for hurricane in dictionary:
    current_hurricane = dictionary[hurricane]
    current_year = dictionary[hurricane]['Year']
    if current_year in sorted_by_year:
      sorted_by_year[current_year].append(current_hurricane)
    else:
      sorted_by_year[current_year] = [current_hurricane]
  return sorted_by_year 

# printing final result
hurricanes_by_year = sort_hurricanes_by_year(hurricanes)

# create a new dictionary of hurricanes with year and key


# 4
# Counting Damaged Areas

def flatten(l):
  out = []
  for item in l:
    if isinstance(item, (list, tuple)):
      out.extend(flatten(item))
    else:
      out.append(item)
  return out

flat_areas_affected = flatten(areas_affected)

def find_areas_affected_count(array):
  rates_of_affection = {}
  for area in array:
    if area in rates_of_affection:
        rates_of_affection[area] += 1
    else:
      rates_of_affection[area] = 1
  return rates_of_affection

# create dictionary of areas to store the number of hurricanes involved in
number_of_times_areas_affected = find_areas_affected_count(flat_areas_affected)

# 5 
# Calculating Maximum Hurricane Count

# find most frequently affected area and the number of hurricanes involved in
def most_frequently_affected_area(array, numarray):
  for area in array:
    max_area = array[0]
    max_area_count = numarray.get(max_area)
    max_area_check = area
    max_area_check_count = numarray.get(max_area_check)
    if max_area_check_count > max_area_count:
      max_area = max_area_count
  return max_area + ' : ' + str(max_area_count)

highest_impact = most_frequently_affected_area(flat_areas_affected,number_of_times_areas_affected)

# 6
# Calculating the Deadliest Hurricane
def deadliest_hurricane_check_function(dictionary):
  deadliest_hurricane = 'Cuba I'
  for hurricane in dictionary:
    hurricane_death_count = dictionary[deadliest_hurricane]['Deaths']
    deadliest_hurricane_check = hurricane
    hurricane_death_count_check = dictionary[hurricane]['Deaths']
    if hurricane_death_count_check > hurricane_death_count:
      deadliest_hurricane = deadliest_hurricane_check
  return deadliest_hurricane + ' : ' + str(hurricane_death_count)

highest_mortality = deadliest_hurricane_check_function(hurricanes)
# find highest mortality hurricane and the number of deaths

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

def sort_hurricanes_by_deaths(dictionary):
  sorted_by_deaths = {}
  for hurricane in dictionary:
    current_hurricane = dictionary[hurricane]
    current_hurricane_deaths = dictionary[hurricane]['Deaths']
    current_hurricane_mortality_rating = 0
    if current_hurricane_deaths == 0:
      current_hurricane_mortality_rating = 0
    elif current_hurricane_deaths > 0 and current_hurricane_deaths <= 100:
      current_hurricane_mortality_rating = 1
    elif current_hurricane_deaths > 100 and current_hurricane_deaths <= 500:
      current_hurricane_mortality_rating = 2
    elif current_hurricane_deaths > 500 and current_hurricane_deaths <= 1000:
      current_hurricane_mortality_rating = 3
    elif current_hurricane_deaths > 1000 and current_hurricane_deaths <= 10000:
      current_hurricane_mortality_rating = 4
    elif current_hurricane_deaths > 10000:
      current_hurricane_mortality_rating = 5
    if current_hurricane_mortality_rating in sorted_by_deaths:
      sorted_by_deaths[current_hurricane_mortality_rating].append(current_hurricane)
    else:
      sorted_by_deaths[current_hurricane_mortality_rating] = [current_hurricane]
  return sorted_by_deaths 

# printing final result
hurricanes_by_mortality = sort_hurricanes_by_deaths(hurricanes)
# categorize hurricanes in new dictionary with mortality severity as key


# 8 Calculating Hurricane Maximum Damage
def most_damaging_hurricane_function(dictionary, floatarray):
  index = 0
  most_damaging_hurricane = list(dictionary)[0]
  for hurricane in dictionary:
    if dictionary[most_damaging_hurricane]['Damage'] == 'Damages not recorded':
      most_damaging_hurricane = list(dictionary)[index+1]
    damages_cost = dictionary[most_damaging_hurricane]['Damage']
    index += 1
    damages_cost_check = dictionary[hurricane]['Damage']
    if type(damages_cost_check) == float and type(damages_cost) == float:
      if damages_cost_check > damages_cost:
        most_damaging_hurricane = hurricane
        damages_cost = dictionary[hurricane]['Damage']
  return most_damaging_hurricane + ' : ' + str(damages_cost)

most_expensive_damages = most_damaging_hurricane_function(hurricanes, damages_float)
print(most_expensive_damages)
# find highest damage inducing hurricane and its total cost


# 9
# Rating Hurricanes by Damage
damage_scale = {0: 0,
                1: 100000000,
                2: 1000000000,
                3: 10000000000,
                4: 50000000000}
  
# categorize hurricanes in new dictionary with damage severity as key
def rating_hurricanes_by_damage(dictionary):
  sorted_by_damages = {}
  for hurricane in dictionary:
    current_hurricane = dictionary[hurricane]
    current_hurricane_damages = dictionary[hurricane]['Damage']
    current_hurricane_damage_rating = 0
    if current_hurricane_damages == 0 or current_hurricane_damages == 'Damages not recorded':
      current_hurricane_damages_rating = 0
    elif current_hurricane_damages > 0 and current_hurricane_damages <= 100000000:
      current_hurricane_damages_rating = 1
    elif current_hurricane_damages > 100000000 and current_hurricane_damages <= 1000000000:
      current_hurricane_damages_rating = 2
    elif current_hurricane_damages > 1000000000 and current_hurricane_damages <= 10000000000:
      current_hurricane_damages_rating = 3
    elif current_hurricane_damages > 10000000000 and current_hurricane_damages <= 50000000000:
      current_hurricane_damages_rating = 4
    elif current_hurricane_damages > 50000000000:
      current_hurricane_damages_rating = 5
    if current_hurricane_damages_rating in sorted_by_damages:
      sorted_by_damages[current_hurricane_damages_rating].append(current_hurricane)
    else:
      sorted_by_damages[current_hurricane_damages_rating] = [current_hurricane]
  return sorted_by_damages

hurricanes_by_damages = rating_hurricanes_by_damage(hurricanes)
print(hurricanes_by_damages)