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
conversion = {"M": 1000000,
              "B": 1000000000}
def update_damages(old_list):
  new_list = []
  for item in old_list:
    if item[-1] == 'B':
      temp = float(item.strip('B'))
      temp *= float(conversion['B'])
      new_list.append(temp)
    elif item[-1] == 'M':
      temp = float(item.strip('M'))
      temp *= float(conversion['M'])
      new_list.append(temp)
    else:
      new_list.append(item)
  return new_list

# test function by updating damages
new_damages = update_damages(damages)
#print(new_damages)
#IT WORKS

# 2 
# Create a Table
def hurricane_table(names, months, years, max_sustained_winds, areas_affected, damages, deaths):
  new_dictionary = {}
  for index in range(len(names)):
    new_dictionary[names[index]] = {'Name':names[index], 'Month':months[index], 'Year':years[index], 'Max Sustained Winds':max_sustained_winds[index], 'Areas Affected':areas_affected[index], 'Damages':damages[index], 'Deaths':deaths[index]}
  return new_dictionary

# Create and view the hurricanes dictionary
hurricanes = hurricane_table(names, months, years, max_sustained_winds, areas_affected, new_damages, deaths)
# IT WORKS

# 3
# Organizing by Year
def hurricane_by_year(dictionary):
  new_dictionary = {}
  for hurricane in dictionary:
    current_year = dictionary[hurricane]['Year']
    current_cane = dictionary[hurricane]
    if current_year in new_dictionary:
      new_dictionary[current_year].append(current_cane)
    else:
      new_dictionary[current_year] = [current_cane]
  return new_dictionary

# create a new dictionary of hurricanes with year and key
hurricanes_by_year = hurricane_by_year(hurricanes)
# IT WORKS

# 4
# Counting Damaged Areas
def affected_area_count(dict):
  count_dict = {}
  for hurricane in dict:
    for area in dict[hurricane]['Areas Affected']:
      if area in count_dict:
        count_dict[area] += 1
      else:
        count_dict[area] = 1
  return count_dict

# create dictionary of areas to store the number of hurricanes involved in
area_affected_count = affected_area_count(hurricanes)
#print(area_affected_count)
# IT WORKS

# 5 
# Calculating Maximum Hurricane Count
def most_hit_area(dict):
  location = ''
  count = 0
  for k, v in dict.items():
    if v > count:
      location = k
      count = v
  new_dict = {location:count}
  return new_dict 

# find most frequently affected area and the number of hurricanes involved in
most_hit_area_dict = most_hit_area(area_affected_count)
#print(most_hit_area_dict)

# 6
# Calculating the Deadliest Hurricane
def deadliest_hurricanes(dict):
  mortality_scale = {
    0:0,
    1:100,
    2:500,
    3:1000,
    4:10000}
  
  new_dict = {
    0:[],
    1:[],
    2:[],
    3:[],
    4:[]
  }
  
  for hurricane in dict:
    if dict[hurricane]['Deaths'] >= mortality_scale[4]:
      new_dict[4].append(hurricane)
    elif dict[hurricane]['Deaths'] >= mortality_scale[3]:
      new_dict[3].append(hurricane)
    elif dict[hurricane]['Deaths'] >= mortality_scale[2]:
      new_dict[2].append(hurricane)
    elif dict[hurricane]['Deaths'] >= mortality_scale[1]:
      new_dict[1].append(hurricane)
    else:
      new_dict[0].append(hurricane)
  return new_dict

# find highest mortality hurricane and the number of deaths
deadliest_canes = deadliest_hurricanes(hurricanes)
#print(deadliest_canes)

# 7
# Rating Hurricanes by Mortality


# categorize hurricanes in new dictionary with mortality severity as key


# 8 Calculating Hurricane Maximum Damage
def costliest_hurricane(dict):
  hi_cost = 0
  cane = ''
  for hurricane in dict:
    if dict[hurricane]['Damages'] != 'Damages not recorded':
      if dict[hurricane]['Damages'] > hi_cost:
        hi_cost = dict[hurricane]['Damages']
        cane = hurricane
  new_dict = {cane:hi_cost}
  return new_dict

# find highest damage inducing hurricane and its total cost
highest_cost_hurricane = costliest_hurricane(hurricanes)
#print(highest_cost_hurricane)

# 9
# Rating Hurricanes by Damage
damage_scale = {0: 0,
                1: 100000000,
                2: 1000000000,
                3: 10000000000,
                4: 50000000000}
  
def cane_damage_scaling(dict, scale):
  new_dict = {
    0:[],
    1:[],
    2:[],
    3:[],
    4:[]}
  
  for hurricane in dict:
    if dict[hurricane]['Damages'] != 'Damages not recorded':
      if dict[hurricane]['Damages'] >= scale[4]:
        new_dict[4].append(hurricane)
      elif dict[hurricane]['Damages'] >= scale[3]:
        new_dict[3].append(hurricane)
      elif dict[hurricane]['Damages'] >= scale[2]:
        new_dict[2].append(hurricane)
      elif dict[hurricane]['Damages'] >= scale[1]:
        new_dict[1].append(hurricane)
      else:
        new_dict[0].append(hurricane)
  return new_dict

# categorize hurricanes in new dictionary with damage severity as key
hurricanes_by_damage_severity = cane_damage_scaling(hurricanes, damage_scale)
#print(hurricanes_by_damage_severity[4])