Hurricane Analysis Challenge Project (Python Dictionaries)

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]

def damage_convert(damage):
    if damage == 'Damages not recorded':
      return damage
    elif damage[-1] == 'M':
      return float(damage[:-1]) * 1000000
    else:
      return float(damage[:-1]) * 1000000000

def update_damages(damages):
  updated_damages = []
  for damage in damages:
    converted_damage = damage_convert(damage)
    updated_damages.append(converted_damage)
  return updated_damages
float_damages = update_damages(damages)
print(float_damages)

def hurricanes_by_name(names, months, years, max_sustained_winds, areas_affected, damages, deaths):
  hurricanes = {}
  for i in range(len(names)):
    temp = {}
    temp['Name'] = names[i]
    temp['Month'] = months[i]
    temp['Year'] = years[i]
    temp['Max Sustained Wind'] = max_sustained_winds[i]
    temp['Area Affected'] = areas_affected[i]
    temp['Damage'] = damages[i]
    temp['Deaths'] = deaths[i]
    hurricanes[names[i]] = temp
  return hurricanes
hurricanes_dict_by_name = hurricanes_by_name(names, months, years, max_sustained_winds, areas_affected, damages, deaths)
print(hurricanes_dict_by_name)

def hurricanes_by_year(hurricanes_dict_by_name):
  hurricanes_dict_by_year = {}
  for hurricane in hurricanes_dict_by_name.values():
    current_year = hurricane['Year']
    current_cane = hurricane
    if current_year in hurricanes_dict_by_year.keys():
      hurricanes_dict_by_year[current_year].append(current_cane)
    else:
      hurricanes_dict_by_year[current_year] = [current_cane]
  return hurricanes_dict_by_year
hurricanes_dict_by_year = hurricanes_by_year(hurricanes_dict_by_name)
print(hurricanes_dict_by_year)

def area_count(areas_affected):
  count_dict = {}
  for areas in areas_affected:
    for area in areas:
      if area in count_dict.keys():
        count_dict[area] += 1
      else:
        count_dict[area] = 1
  return count_dict
counts = area_count(areas_affected)
print(counts)

def most_affected_area(areas_affected):
  count_dict = area_count(areas_affected)
  max_hit = 0
  for area in count_dict.keys():
    if count_dict[area] > max_hit:
      max_hit = count_dict[area]
      max_area = area
  print('The area most affected by hurricanes is ' + area + '.')
  frequency = round(max_hit / len(areas_affected), 4)
  print('It\'s hit ' + str(frequency * 100) + '% of the time.')
most_affected_area(areas_affected)

def most_deaths(hurricanes_dict_by_name):
  max_deaths = 0
  for hurricane in hurricanes_dict_by_name.values():
    if hurricane['Deaths'] > max_deaths:
      max_deaths = hurricane['Deaths']
      max_name = hurricane['Name']
  print('The hurricane that caused the greatest number of deaths is ' + max_name + ', and ' + str(max_deaths) + ' deaths were caused.')
most_deaths(hurricanes_dict_by_name)

mortality_scale = {0: 0,
                   1: 100,
                   2: 500,
                   3: 1000,
                   4: 10000}
def sort_mortality_scale(deaths):
  if deaths == 0:
    return 0
  elif deaths <= 100:
    return 1
  elif deaths <= 500:
    return 2
  elif deaths <= 1000:
    return 3
  elif deaths <= 10000:
    return 4
  else:
    return 5
def hurricanes_by_mortality_scale(hurricanes_dict_by_name):
  mortality_scale_dict = {0: [],
                          1: [],
                          2: [],
                          3: [],
                          4: [],
                          5: []}
  for hurricane in hurricanes_dict_by_name.values():
    mortality_scale = sort_mortality_scale(hurricane['Deaths'])
    for scale in mortality_scale_dict.keys():
      if scale == mortality_scale:
        mortality_scale_dict[scale].append(hurricane)
  print(mortality_scale_dict)
  return mortality_scale_dict
hurricanes_by_mortality_scale(hurricanes_dict_by_name)

def most_damage(hurricane_dict_by_name):
  max_damage = 0
  for hurricane in hurricane_dict_by_name.values():
    if hurricane['Damage'] == 'Damages not recorded':
      pass
    else:
      current_damage = damage_convert(hurricane['Damage'])
      current_damage > max_damage
      max_damage = current_damage
      max_cane = hurricane['Name']
  print('The hurricane that caused the greatest damage was ' + max_cane + ' and it caused a loss of $' + str(max_damage) + '.')
most_damage(hurricanes_dict_by_name)

damage_scale = {0: 0,
                1: 100000000,
                2: 1000000000,
                3: 10000000000,
                4: 50000000000}
def sort_damage_scale(damage):
  if damage == 0:
    return 0
  elif damage <= 100000000:
    return 1
  elif damage <= 1000000000:
    return 2
  elif damage <= 10000000000:
    return 3
  elif damage <= 50000000000:
    return 4
  else: 
    return 5
def hurricanes_by_damage_scale(hurricanes_dict_by_name):
  damage_scale_dict = {0: [],
                         1: [],
                         2: [],
                         3: [],
                         4: [],
                         5: [],
                         'Damages not recorded': []}
  for hurricane in hurricanes_dict_by_name.values():
    if hurricane['Damage'] == 'Damages not recorded':
      damage_scale_dict['Damages not recorded'].append(hurricane)
    else:
      converted_damage = damage_convert(hurricane['Damage'])
      damage_scale = sort_damage_scale(converted_damage)
      for scale in damage_scale_dict.keys():
        if scale == damage_scale:
          damage_scale_dict[scale].append(hurricane)
  print(damage_scale_dict)
  return damage_scale_dict
hurricanes_by_damage_scale(hurricanes_dict_by_name)