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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}
#converter function v1_0
updated_damages = []
def damages_update_v1_0():
  for item in damages:
    if item == 'Damages not recorded':
      updated_damages.append(item)
    elif item[-1] == 'M':
      updated_damages.append((float(item[:-1])) * conversion['M'])
    elif item[-1] == 'B':
      updated_damages.append((float(item[:-1])) * conversion['B'])
  return updated_damages
damages_update_v1_0() 
#print(damages_update_v1_0())

#[/done] test function by updating damages
# 2 
# Create a Table
def hurricane_by_name():
  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],
  'Deaths': deaths[i]} for i in range(len(names))}
  return hurricanes

# Create and view the hurricanes dictionary
hurricanes = hurricane_by_name()

# 3
# Organizing by Year
def hurricanes_by_year():
  hurricanes_by_y={}
  for record in hurricanes.values():
    current_year = record.get('Year')
    current_cane = [record]
    if current_year in hurricanes_by_y:
      hurricanes_by_y[current_year].append(current_cane)
    else:
      hurricanes_by_y[current_year]=current_cane
  return hurricanes_by_y

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

# 4
# Counting Damaged Areas
def areas_affected():
  affected_areas={}
  for record in hurricanes.values():
    for area in record['Areas Affected']:
      if area in affected_areas:
        affected_areas[area]+=1
      else:
        affected_areas[area]=1
  return affected_areas

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

# 5 
# Calculating Maximum Hurricane Count
def most_hit_area():
  lst = list(areas_affected.values())
  for i in areas_affected:
    if areas_affected[i] == max(lst):
      return i, areas_affected[i]

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

# 6
# Calculating the Deadliest Hurricane
def deadliest_cane(hurricanes):
  num_of_deaths=[]
  for record in hurricanes.values():
    num_of_deaths.append(record['Deaths'])
  for item in hurricanes.values():
    if max(num_of_deaths)== item['Deaths']:
      return item['Name'], item['Deaths']

# find highest mortality hurricane and the number of deaths
most_deadly=deadliest_cane(hurricanes)

# 7
# Rating Hurricanes by Mortality

def mortality_rating():
  hurr_by_mortality = {"0":[], "1":[], "2":[], "3":[], "4":[]}
  for record in hurricanes.values():
    current_hurr = [record]
    if record['Deaths'] <= 100 :
      hurr_by_mortality["1"] += current_hurr
    elif record['Deaths'] <= 500 and record['Deaths']> 100:
      hurr_by_mortality["2"] += current_hurr
    elif record['Deaths'] <= 1000 and record['Deaths']> 500:
      hurr_by_mortality["3"] += current_hurr
    elif record['Deaths'] <= 10000 and record['Deaths']> 1000:
      hurr_by_mortality["4"] += current_hurr
  return hurr_by_mortality

# categorize hurricanes in new dictionary with mortality severity as key
hurr_by_mortality = mortality_rating()

# 8 Calculating Hurricane Maximum Damage

def most_costly():
  hurr_damages = []
  for record in hurricanes.values():
    if record['Damage']=='Damages not recorded':
      hurr_damages.append(0)
    else:
      hurr_damages.append(record['Damage'])
  for item in hurricanes.values():
    if max(hurr_damages)== item['Damage']:
      return item['Name'], item['Damage']

# find highest damage inducing hurricane and its total cost
maximum_damage = most_costly()

# 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 damage_rating():
  hurr_by_damage = {"0":[], "1":[], "2":[], "3":[], "4":[], "Damages not recorded":[]}

  for record in hurricanes.values():
    current_hurr = [record]
    if record['Damage'] == 'Damages not recorded':
      hurr_by_damage['Damages not recorded'] += current_hurr
    elif record['Damage'] <= 100000000 and record['Damage']!= 0 :
      hurr_by_damage["1"] += current_hurr
    elif record['Damage'] <= 1000000000 and record['Damage']> 100000000:
      hurr_by_damage["2"] += current_hurr
    elif record['Damage'] <= 10000000000 and record['Damage']> 1000000000:
      hurr_by_damage["3"] += current_hurr
    elif record['Damage'] <= 50000000000 and record['Damage']> 10000000000:
      hurr_by_damage["4"] += current_hurr
    
  return hurr_by_damage
hurr_by_damage=damage_rating()