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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]

# 2
# Update Recorded Damages
conversion = {"M": 1000000,
              "B": 1000000000}

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

#print(new_damages)

# 3
def create_hurricane_dict(names, months, years, max_sustained_winds, areas_affected, damages, deaths):
  hurricane_dict = {}
  for i in range(len(names)):
    hurricane_dict[names[i]] = {"Name": names[i], "Month": months[i], "Year": years[i], "Max Sustained Wind": max_sustained_winds[i], "Areas Affected": areas_affected[i], "Damages": damages[i], "Deaths": deaths[i]}
  
  return hurricane_dict

# Create and view the hurricanes dictionary
hurricane_dict = create_hurricane_dict(names, months, years, max_sustained_winds, areas_affected, new_damages, deaths)

# 4
# Organizing by Year

def create_year_dict(hurricane_dict):
  year_dict = {}

  for hurricane, items in hurricane_dict.items():
    if items["Year"] not in year_dict:
      year_dict[items["Year"]] = [items]
    else:
      year_dict[items["Year"]].append(items)
      
  return year_dict

hurricane_year_dict = create_year_dict(hurricane_dict)
#print(hurricane_year_dict)

# 5
# Counting Damaged Areas

def create_hurricane_areas(hurricane_dict):
  area_dict = {}

  for hurricane, items in hurricane_dict.items():
    for area in items["Areas Affected"]:
      if area not in area_dict:
        area_dict[area] = 1
      else:
        area_dict[area] += 1
  return area_dict

hurricane_area_dict = create_hurricane_areas(hurricane_dict)
#print(hurricane_area_dict)

# 6
# Calculating Maximum Hurricane Count

def most_affected_area(hurricane_area_dict):
  max_area = ""
  max_area_count = 0

  for area, hits in hurricane_area_dict.items():
    if hits > max_area_count:
      max_area = area
      max_area_count = hits
  
  print("The area most affected was " + max_area + " with " + str(max_area_count) + " hits.")

#most_affected_area(hurricane_area_dict)

# 7
# Calculating the Deadliest Hurricane
def deadliest_hurricane(hurricane_dict):
  deadliest_hurricane = ""
  max_deaths = 0

  for hurricane, items in hurricane_dict.items():
    if items["Deaths"] > max_deaths:
      deadliest_hurricane = hurricane
      max_deaths = items["Deaths"]
  
  print("The deadliest hurricane was " + deadliest_hurricane + " with " + str(max_deaths) + " deaths.")

#deadliest_hurricane(hurricane_dict)

# 8
mortality_scale = {0: 0,
                   1: 100,
                   2: 500,
                   3: 1000,
                   4: 10000}

# Function designed to allow mortality_scale dictionary to be expanded on to redefine mortality categorisation. Add/remove categories and change values above to test scenarios.

def create_mortality_scale(hurricane_dict, mortality_scale):
  # Initialise empty dictionary
  mortality_dict = {}

  # Build key's for mortality scales
  for scale, limit in mortality_scale.items():
    mortality_dict[scale] = []

  # Add additional mortality category for entries above maximum mortalities defined above for overflow catchment.
  mortality_dict[len(mortality_dict)] = []

  # Loop through hurricanes
  for hurricane, items in hurricane_dict.items():
    
    # Check if mortality scale will land in overflow category first.
    if items["Deaths"] > mortality_scale[list(mortality_scale)[-1]]:
      mortality_dict[list(mortality_dict)[-1]].append(items)
    else:
      # If mortality doesn't overflow, check deaths against mortality categories until able to categorise.
      count = 0
      while count < len(mortality_scale):
        if items["Deaths"] <= mortality_scale[count]:
          mortality_dict[count].append(items)
          break
        else:
          count += 1

  return mortality_dict

hurricane_mortality_dict = create_mortality_scale(hurricane_dict, mortality_scale)
#print(hurricane_mortality_dict)

# 8 Calculating Hurricane Maximum Damage

# find highest damage inducing hurricane and its total cost
def greatest_hurricane_damage(hurricane_dict):
  greatest_damage_hurricane = ""
  max_cost = 0

  for hurricane, items in hurricane_dict.items():
    if items["Damages"] == "Damages not recorded":
      continue
    elif items["Damages"] > max_cost:
      greatest_damage_hurricane = hurricane
      max_cost = items["Damages"]
  
  print("Hurricane " + greatest_damage_hurricane + " caused the most damage at $" + str(max_cost) + " dollars.")

#greatest_hurricane_damage(hurricane_dict)

# 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
# Function designed to allow damage_scale dictionary to be expanded on to redefine damage categorisation. Add/remove categories and change values above to test scenarios.

def create_damage_scale(hurricane_dict, damage_scale):
  # Initialise empty dictionary
  damage_dict = {}

  # Build key's for mortality scales
  for scale, limit in damage_scale.items():
    damage_dict[scale] = []

  # Add additional damage category for entries above maximum damages defined above for overflow catchment.
  damage_dict[len(damage_dict)] = []

  # Loop through hurricanes
  for hurricane, items in hurricane_dict.items():
    
    # Check if damage scale will land in overflow or no damage category first.
    if items["Damages"] == "Damages not recorded":
      damage_dict[0].append(items)
    elif items["Damages"] > damage_scale[list(damage_scale)[-1]]:
      damage_dict[list(damage_dict)[-1]].append(items)
    else:
      # If damages doesn't overflow, check damages against damage categories until able to categorise.
      count = 0
      while count < len(damage_scale):
        if items["Damages"] <= damage_scale[count]:
          damage_dict[count].append(items)
          break
        else:
          count += 1

  return damage_dict

hurricane_damage_dict = create_damage_scale(hurricane_dict, damage_scale)
print(hurricane_damage_dict)