Hurricane Analysis

Hurricane Analysis Project

# 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:
# 1
# Update Recorded Damages
def convert_damages_data(damages):
  conversion = {"M": 1000000, "B": 1000000000}
  updated_damages = list()
  for damage in damages:
    if damage == "Damages not recorded":
      updated_damages.append(damage)
    if damage.find('M') != -1:
      updated_damages.append(float(damage[0:damage.find('M')]) * conversion["M"])
    if damage.find('B') != -1:
      updated_damages.append(float(damage[0: damage.find('B')]) * conversion["B"])
  return updated_damages

# test function by updating damages
updated_damages = convert_damages_data(damages)
print(updated_damages)


# write your construct hurricane dictionary function here:

def hurricanes_combine(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths):
  hurricanes = dict()
  num_of_hurricanes = len(names)
  for i in range(num_of_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": updated_damages[i], "Death": deaths[i]}
  return hurricanes

hurricanes = hurricanes_combine(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths)

print(hurricanes)

# write your construct hurricane by year dictionary function here:

def hurricane_by_year(hurricanes):
  hurricane_year = dict()
  for cane in hurricanes:
    current_year = hurricanes[cane]['Year']
    current_cane = hurricanes[cane]
    if current_year not in hurricane_year:
      hurricane_year[current_year] = [current_cane]
    else:
      hurricane_year[current_year].append(current_cane)
  return hurricane_year

hurricane_year = hurricane_by_year(hurricanes)
print(hurricane_year)

# write your count affected areas function here:

def count_areas_affected(hurricanes):
  areas_affected_count = dict()
  for cane in hurricanes:
    for area in hurricanes[cane]['Areas Affected']:
      if area not in areas_affected_count:
        areas_affected_count[area] = 1
      else:
        areas_affected_count[area] += 1
  return areas_affected_count

areas_affected_count = count_areas_affected(hurricanes)

print(areas_affected_count)

# write your find most affected area function here:

def most_affected_area(areas_affected_count):
  max_area = 'Bahamas'
  max_area_count = 0
  for affected_areas in areas_affected_count:
    if max_area_count < areas_affected_count[affected_areas]:
      max_area = affected_areas
      max_area_count = areas_affected_count[affected_areas]
  return max_area, max_area_count

max_area, max_area_count = most_affected_area(areas_affected_count)

print(max_area, max_area_count)

# write your greatest number of deaths function here:

def most_deaths(hurricanes):
  most_deaths_hurricane = 'Cuba I'
  max_deaths = 0
  for cane in hurricanes:
    if max_deaths < hurricanes[cane]['Death']:
      most_deaths_hurricane = cane
      max_deaths = hurricanes[cane]['Death']
  return most_deaths_hurricane, max_deaths

most_deaths_hurricane, max_deaths = most_deaths(hurricanes)

print(most_deaths_hurricane, max_deaths)

# write your catgeorize by mortality function here:

def hurricane_ratings(hurricanes):
  mortality_scale = {0: 0, 1:100, 2: 500, 3:1000, 4: 10000}
  new_cane_rating = {0:[], 1:[], 2:[], 3:[], 4:[], 5:[]}
  for cane in hurricanes:
    num_deaths = hurricanes[cane]['Death']
    if num_deaths == mortality_scale[0]:
      new_cane_rating[0].append(hurricanes[cane])
    elif num_deaths > mortality_scale[0] and num_deaths <= mortality_scale[1]:
      new_cane_rating[1].append(hurricanes[cane])
    elif num_deaths > mortality_scale[1] and num_deaths <= mortality_scale[2]:
      new_cane_rating[2].append(hurricanes[cane])
    elif num_deaths > mortality_scale[2] and num_deaths <= mortality_scale[3]:
      new_cane_rating[3].append(hurricanes[cane])
    elif num_deaths > mortality_scale[3] and num_deaths <= mortality_scale[4]:
      new_cane_rating[4].append(hurricanes[cane])
    elif num_deaths > mortality_scale[4]:
      new_cane_rating[5].append(hurricanes[cane])
  return new_cane_rating

new_cane_rating = hurricane_ratings(hurricanes)

print(new_cane_rating[4])

# write your greatest damage function here:

def greatest_damage_cost(hurricanes):
  max_damage_cane = 'Cuba I'
  max_damage = 0
  for cane in hurricanes:
    if hurricanes[cane]['Damage'] == "Damages not recorded":
      pass
    elif hurricanes[cane]['Damage'] > max_damage:
      max_damage_cane = cane
      max_damage = hurricanes[cane]['Damage']
  return max_damage_cane, max_damage

max_damage_cane, max_damage = greatest_damage_cost(hurricanes)

print(max_damage_cane, max_damage)

# write your catgeorize by damage function here:

def cane_damage_scale(hurricanes):
  damage_scale = {0: 0, 1: 100000000, 2: 1000000000, 3: 10000000000, 4: 50000000000}
  damage_scale_rating = {0:[], 1:[], 2:[], 3:[], 4:[], 5:[]}
  for cane in hurricanes:
    damage_cost = hurricanes[cane]['Damage']
    if damage_cost == "Damages not recorded":
      damage_scale_rating[0].append(hurricanes[cane])
    elif damage_cost == damage_scale[0]:
      damage_scale_rating[0].append(hurricanes[cane])
    elif damage_cost > damage_scale[0] and damage_cost <= damage_scale[1]:
      damage_scale_rating[1].append(hurricanes[cane])
    elif damage_cost > damage_scale[1] and damage_cost <= damage_scale[2]:
      damage_scale_rating[2].append(hurricanes[cane])
    elif damage_cost > damage_scale[2] and damage_cost <= damage_scale[3]:
      damage_scale_rating[3].append(hurricanes[cane])
    elif damage_cost > damage_scale[3] and damage_cost <= damage_scale[4]:
      damage_scale_rating[4].append(hurricanes[cane])
    elif damage_cost > damage_scale[4]:
      damage_scale_rating[5].append(hurricanes[cane])
  return damage_scale_rating

damage_scale_rating = cane_damage_scale(hurricanes)

print(damage_scale_rating[5])