Codecademy export

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]

# 1
# Update Recorded Damages
def update_damages(damages):
  conversion = {"M": 1000000,
              "B": 1000000000}
  
  damages_updated = []
  for damage in damages:
    if damage[-1] == 'M':
      damages_updated.append(float(damage.strip('M'))*conversion["M"])
    elif damage[-1] == 'B':
      damages_updated.append(float(damage.strip('B'))*conversion["B"])
    elif damage == 'Damages not recorded':
      damages_updated.append(damage)
  return damages_updated

# test function by updating damages
damages_updated = update_damages(damages)
#print(damages_updated)

# 2 
# Create a Table
def create_hurricane_dictionary(names, months, years, max_sustained_winds, areas_affected, damages_updated, deaths):
  hurricanes = {}

  for i in range(len(names)):
    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": damages_updated[i],
                     "Deaths": deaths[i]}

  return hurricanes

# Create and view the hurricanes dictionary
hurricanes = create_hurricane_dictionary(names, months, years, max_sustained_winds, areas_affected, damages_updated, deaths)
#print(hurricanes)

# 3
# Organizing by Year
def hurricanes_by_year(hurricanes):
  canes_by_year = {}
  
  for hurricane in hurricanes:
    current_year = hurricanes[hurricane]['Year']
    current_cane = hurricanes[hurricane]

    if current_year not in canes_by_year:
      canes_by_year[current_year] = [current_cane]
    else:
      canes_by_year[current_year].append(current_cane)
  return canes_by_year
    
# create a new dictionary of hurricanes with year and key
hurricanes_year = hurricanes_by_year(hurricanes)
#print(hurricanes_year)

# 4
# Counting Damaged Areas
def number_areas_affected(hurricanes):
  count_affected_areas = {}

  for hurricane in hurricanes:
    for area in hurricanes[hurricane]['Areas Affected']:
      if area not in count_affected_areas:
        count_affected_areas[area] = 1
      else:
        count_affected_areas[area] += 1
  return count_affected_areas

# create dictionary of areas to store the number of hurricanes involved in
count_affected_areas = number_areas_affected(hurricanes)
#print(count_affected_areas)

# 5 
# Calculating Maximum Hurricane Count
def most_affected_area(count_affected_areas):
  max_area = 'Central America' # function assumes one area
  max_area_count = 0

  for area in count_affected_areas:
    if count_affected_areas[area] > max_area_count:
      max_area = area
      max_area_count = count_affected_areas[area]
  return max_area, max_area_count

# find most frequently affected area and the number of hurricanes involved in
max_area, max_area_count = most_affected_area(count_affected_areas)
#print(max_area, max_area_count)


# 6
# Calculating the Deadliest Hurricane
def highest_mortality_cane(hurricanes):
  max_mortality_cane = 'Cuba I'
  max_mortality = 0

  for hurricane in hurricanes:
    if hurricanes[hurricane]['Deaths'] > max_mortality:
      max_mortality_cane = hurricane
      max_mortality = hurricanes[hurricane]['Deaths']
  return max_mortality_cane, max_mortality

# find highest mortality hurricane and the number of deaths
max_mortality_cane, max_mortality = highest_mortality_cane(hurricanes)
#print(max_mortality_cane, max_mortality)

# 7
# Rating Hurricanes by Mortality
def hurricane_mortality_rate(hurricanes):
  mortality_scale = {0: 0,
                   1: 100,
                   2: 500,
                   3: 1000,
                   4: 10000}
  
  hurricanes_by_mortality = {0:[],1:[],2:[],3:[],4:[],5:[]}
  for hurricane in hurricanes:
    deaths = hurricanes[hurricane]['Deaths']

    if deaths == mortality_scale[0]:
      hurricanes_by_mortality[0].append(hurricanes[hurricane])
    elif deaths > mortality_scale[0] and deaths <= mortality_scale[1]:
      hurricanes_by_mortality[1].append(hurricanes[hurricane])
    elif deaths > mortality_scale[1] and deaths <= mortality_scale[2]:
      hurricanes_by_mortality[2].append(hurricanes[hurricane])
    elif deaths > mortality_scale[2] and deaths <= mortality_scale[3]:
      hurricanes_by_mortality[3].append(hurricanes[hurricane])
    elif deaths > mortality_scale[3] and deaths <= mortality_scale[4]:
      hurricanes_by_mortality[4].append(hurricanes[hurricane])
    elif deaths > mortality_scale[4]:
      hurricanes_by_mortality[5].append(hurricanes[hurricane])
  return hurricanes_by_mortality

# categorize hurricanes in new dictionary with mortality severity as key
hurricanes_by_mortality = hurricane_mortality_rate(hurricanes)
#print(hurricanes_by_mortality[5])

# 8 Calculating Hurricane Maximum Damage
def most_damage(hurricanes):
  max_damage_cane = 'Cuba I'
  max_damage = 0

  for hurricane in hurricanes:
    if hurricanes[hurricane]['Damage'] == 'Damages not recorded':
      continue
    elif hurricanes[hurricane]['Damage'] > max_damage:
      max_damage_cane = hurricane
      max_damage = hurricanes[hurricane]['Damage']
  return max_damage_cane, max_damage
    
# find highest damage inducing hurricane and its total cost
max_damage_cane, max_damage = most_damage(hurricanes)
print(max_damage_cane, max_damage)

# 9
# Rating Hurricanes by Damage
def cane_damage_rating(hurricanes):
  damage_scale = {0: 0,
                1: 100000000,
                2: 1000000000,
                3: 10000000000,
                4: 50000000000}
  
  hurricanes_by_damage = {0:[],1:[],2:[],3:[],4:[],5:[]}
  for hurricane in hurricanes:
    total_damage = hurricanes[hurricane]['Damage']
    if total_damage == 'Damages not recorded':
      hurricanes_by_damage[0].append(hurricanes[hurricane])
    elif total_damage == damage_scale[0]:
      hurricanes_by_damage[0].append(hurricanes[hurricane])
    elif total_damage > damage_scale[0] and total_damage <= damage_scale[1]:
      hurricanes_by_damage[1].append(hurricanes[hurricane])
    elif total_damage > damage_scale[1] and total_damage <= damage_scale[2]:
      hurricanes_by_damage[2].append(hurricanes[hurricane])
    elif total_damage > damage_scale[2] and total_damage <= damage_scale[3]:
      hurricanes_by_damage[3].append(hurricanes[hurricane])
    elif total_damage > damage_scale[3] and total_damage <= damage_scale[4]:
      hurricanes_by_damage[4].append(hurricanes[hurricane])
    elif total_damage > damage_scale[4]:
      hurricanes_by_damage[5].append(hurricanes[hurricane])
  return hurricanes_by_damage

# categorize hurricanes in new dictionary with damage severity as key
hurricanes_by_damage = cane_damage_rating(hurricanes)
print(hurricanes_by_damage)