Hurricane Analysis.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}

# test function by updating damages


# 2
def float_conversion(data):
  million_number = conversion.get("M")
  billion_number = conversion.get("B")
  updated_damage_list = []
  for items in data:
    if "M" in items:
      updated_damage_list.append(float(items.strip("M")) * million_number)
    elif "B" in items:
      updated_damage_list.append(float(items.strip("B")) * billion_number)
    else:
      updated_damage_list.append(items)
  return updated_damage_list
      
damage_list_floats = float_conversion(damages)
# print(damage_list_floats)

# 3
def create_hurricane_dict_by_name(name, month, year, max_wind, area, death, damage):
  hurricane_dict = {}
  for names, months, years, winds, areas, deaths, damages in zip(name, month, year, max_wind, area, death, damage):
    hurricane_dict.update({names: {"Name": names, "Month": months, "Years": years, "Max Sustained Wind": winds, "Areas Affected": areas, "Damages": damages ,"Deaths": deaths}})
  return hurricane_dict

hurricane_dict = create_hurricane_dict_by_name(names, months, years, max_sustained_winds, areas_affected, deaths, damage_list_floats)
# print(hurricane_dict)



# 4
def hurricane_dict_by_year(cane_dict):
  hurricane_by_year = {}
  for keys, values in cane_dict.items():
    current_cane = values
    current_year = values.get("Years", "Year does not exist")
    if current_year not in hurricane_by_year.keys():
      hurricane_by_year[current_year] = [current_cane]
    else:
      hurricane_by_year[current_year].append(current_cane)
  return hurricane_by_year
    
hurricane_by_year = hurricane_dict_by_year(hurricane_dict)
# print(hurricane_by_year)
#Simplified example
# Values = [18, 20, 25, 29, 30]
# Details = dict({"Age": Values})
# Details["Age"].append(2)
# print(Details)


# 5 
def affected_area(cane_dict):
  affected_dict_area = {}
  for list in cane_dict.values():
    for value in list:
      areas = value["Areas Affected"]
      for area in areas:
        if area not in affected_dict_area.keys():
          affected_dict_area[area] = 1
        else:
          affected_dict_area[area] += 1
  return affected_dict_area

affected_area_dict = affected_area(hurricane_by_year)
# print(affected_area_dict)


# 6
def most_affected_area(area):
  max_area = ""
  max_count = 0
  for key, value in area.items():
    if max_count < value:
      max_count = value
      max_area = key
  return "Most area hit is " + max_area + " at " + str(max_count) + " hits."

# print(most_affected_area(affected_area_dict))

# 7
def max_death(death):
  max_death_count = 0
  max_death_cane = ""
  for key, values in death.items():
    hurricane = key
    hurricane_deaths = values["Deaths"]
    if max_death_count < hurricane_deaths:
      max_death_count = hurricane_deaths
      max_death_cane = hurricane
  return "Hurricane with the most death is " + max_death_cane + ", at " + str(max_death_count) + " deaths."
# print(max_death(hurricane_dict))

# 8 Calculating Hurricane Maximum Damage
def hurricane_max_damage(cane_dict):
  mortality_dict = {0: [], 1: [], 2: [], 3: [], 4: []}
  mortality_scale = {0: 0,
                   1: 100,
                   2: 500,
                   3: 1000,
                   4: 10000}
  for keys, values in cane_dict.items():
    cane_deaths = values["Deaths"]
    if cane_deaths <= mortality_scale[0]:
      mortality_dict[0].append(keys)
    elif cane_deaths <= mortality_scale[1]:
      mortality_dict[1].append(keys)
    elif cane_deaths <= mortality_scale[2]:
      mortality_dict[2].append(keys)
    elif cane_deaths <= mortality_scale[3]:
      mortality_dict[3].append(keys)
    else:
      mortality_dict[4].append(keys)
  return mortality_dict
# print(hurricane_max_damage(hurricane_dict))


# 9
def max_hurricane_damage(cane):
  max_damage_count = 0
  max_damage_cane = ""
  for keys, values in cane.items():
    damages = values["Damages"]
    if damages == "Damages not recorded":
      continue
    elif max_damage_count < damages:
      max_damage_count = damages
      max_damage_cane = keys
  return max_damage_cane + " caused the most damage at " + str(max_damage_count)
# print(max_hurricane_damage(hurricane_dict))

#10
def damage_scale_rating(cane):
  damage_scale = {0: 0,
                1: 100000000,
                2: 1000000000,
                3: 10000000000,
                4: 50000000000}
  new_damage_scale = {1: [], 2: [], 3: [], 4: []}
  for key, value in cane.items():
    damages = value["Damages"]
    # print(key, damages)
    if damages == "Damages not recorded":
      continue
    elif damages <= damage_scale[0]:
      new_damage_scale[0].append(key)
    elif damages <= damage_scale[1]:
      new_damage_scale[1].append(key)
    elif damages <= damage_scale[2]:
      new_damage_scale[2].append(key)
    elif damages <= damage_scale[3]:
      new_damage_scale[3].append(key)
    elif damages <= damage_scale[4]:
      new_damage_scale[4].append(key)
  return new_damage_scale

# print(damage_scale_rating(hurricane_dict))