Codecademy hurricanes dictionary project

hurricane.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 update_damage(damages):
  new_list = []
  for damage in damages:
    if damage.endswith('M') or damage.endswith('B'):
      new_list.append(float(damage[:-1]) * conversion[damage[-1]])
    else:
      new_list.append(damage)
  return new_list

# test function by updating damages
new_damages = update_damage(damages)
print(new_damages)

# 2 
# Create a Table
def create_hurricanes_data(names, months, years, max_sustained_winds, areas_affected, new_damages, deaths):
  hurricanes_dict = {}
  for i in range(len(names)):
    value_dict = {'Name': names[i], 'Month': months[i], 'Year': years[i], 'Max Sustained Wind': max_sustained_winds[i], 'Areas Affected': areas_affected[i], 'Damage': new_damages[i], 'Death': deaths[i]}
    hurricanes_dict[names[i]] = value_dict
  return hurricanes_dict

# Create and view the hurricanes dictionary
hurricanes_dict = create_hurricanes_data(names, months, years, max_sustained_winds, areas_affected, new_damages, deaths)
print(hurricanes_dict['Cuba I'])

# 3
# Organizing by Year
def sort_hurricanes_by_year(hurricanes_dict):
  hurricanes_dict_year = {}
  for key, value in hurricanes_dict.items():
    if hurricanes_dict_year.get(value['Year']):
      hurricanes_dict_year[value['Year']].append(hurricanes_dict[key])
    else:
      hurricanes_dict_year[value['Year']] = [hurricanes_dict[key]]
  return hurricanes_dict_year

# create a new dictionary of hurricanes with year and key
hurricanes_dict_year = sort_hurricanes_by_year(hurricanes_dict)
print(hurricanes_dict_year[1932])


# 4
# Counting Damaged Areas
def count_damaged_areas(areas_affected):
  damaged_areas_counting_dict = {}
  for hurricane in areas_affected:
    for area in hurricane:
      if damaged_areas_counting_dict.get(area):
        damaged_areas_counting_dict[area] += 1
      else: 
        damaged_areas_counting_dict[area] = 1
  return damaged_areas_counting_dict

# create dictionary of areas to store the number of hurricanes involved in
damaged_areas_counting_dict = count_damaged_areas(areas_affected)
print(damaged_areas_counting_dict)

# 5 
# Calculating Maximum Hurricane Count
def maximum_hurricane_count(damaged_areas_counting_dict):
  max_key = max(damaged_areas_counting_dict, key=damaged_areas_counting_dict.get)
  max_value = damaged_areas_counting_dict[max_key]
  print(f'{max_key} is affected by the most hurricanes and was hit {max_value} times.')

  

# find most frequently affected area and the number of hurricanes involved in
maximum_hurricane_count(damaged_areas_counting_dict)

# 6
# Calculating the Deadliest Hurricane
def deadliest_hurricane(hurricanes_dict):
  max_key = max(hurricanes_dict, key=lambda k: hurricanes_dict[k]['Death'])
  max_value = hurricanes_dict[max_key]['Death']
  print(f'{max_key} caused the greatest number of deaths, which is {max_value}.')

# find highest mortality hurricane and the number of deaths
deadliest_hurricane(hurricanes_dict)

# 7
# Rating Hurricanes by Mortality
def hurricanes_mortality_rating(hurricanes_dict):
  hurricanes_mortality_dict = {0: [], 1: [], 2: [], 3: [], 4:[], 5: []}
  for hurricane in hurricanes_dict.values():
    if hurricane['Death'] > 10000:
      hurricanes_mortality_dict[5].append(hurricane)
    elif hurricane['Death'] > 1000:
      hurricanes_mortality_dict[4].append(hurricane)
    elif hurricane['Death'] > 500:
      hurricanes_mortality_dict[3].append(hurricane)
    elif hurricane['Death'] > 100:
      hurricanes_mortality_dict[2].append(hurricane)
    elif hurricane['Death'] > 0:
      hurricanes_mortality_dict[1].append(hurricane)
    else:
      hurricanes_mortality_dict[0].append(hurricane) 
  return  hurricanes_mortality_dict

# categorize hurricanes in new dictionary with mortality severity as key
hurricanes_mortality_dict = hurricanes_mortality_rating(hurricanes_dict)
print(hurricanes_mortality_dict[5])

# 8 Calculating Hurricane Maximum Damage
def maximum_damage_hurricane(hurricanes_dict):
  damage_dict = {}
  for key, value in hurricanes_dict.items():
    if not value['Damage'] == 'Damages not recorded':
      damage_dict[key] = value
  max_key = max(damage_dict, key=lambda k: damage_dict[k]['Damage'])
  max_value = damage_dict[max_key]['Damage']
  print(f'{max_key} caused the greatest damage, which costed {max_value} USD($).')

# find highest damage inducing hurricane and its total cost
maximum_damage_hurricane(hurricanes_dict)
print()


# 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 hurricanes_damage_rating(hurricanes_dict):
  hurricanes_damage_dict = {0: [], 1: [], 2: [], 3: [], 4:[], 5: []}
  for hurricane in hurricanes_dict.values():
    if hurricane['Damage'] == 'Damages not recorded':
      hurricanes_damage_dict[0].append(hurricane)
    elif hurricane['Damage'] <= 100000000:
      hurricanes_damage_dict[1].append(hurricane)
    elif hurricane['Damage'] <= 1000000000:
      hurricanes_damage_dict[2].append(hurricane)
    elif hurricane['Damage'] <= 10000000000:
      hurricanes_damage_dict[3].append(hurricane)
    elif hurricane['Damage'] <= 50000000000:
      hurricanes_damage_dict[4].append(hurricane)
    else:
      hurricanes_damage_dict[5].append(hurricane) 
  return  hurricanes_damage_dict

hurricanes_damage_dict = hurricanes_damage_rating(hurricanes_dict)
print(hurricanes_damage_dict[5])