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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]

# write your update damages function here:
def update_damage(damages):
  damage_list = []
  for damage in damages:
    if damage == 'Damages not recorded':
      damage_list.append("Damages not recorded")
    if damage[-1] == 'M':
      damage_list.append(float(damage[:-1])* 1000000)
    if damage[-1] == 'B':
      damage_list.append(float(damage[:-1])* 1000000000)
  return damage_list
updated_damages = update_damage(damages)

# write your construct hurricane dictionary function here:
def construct_hurricane(names, months, years, max_sustained_winds, areas_affected, damages, deaths):
  construct = {}
  for i in range(len(names)):
    construct[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[i], 'Deaths': deaths[i]}
  return construct
hurricanes = construct_hurricane(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths)

# write your construct hurricane by year dictionary function here:
def hurrican_year(year):
  hur_year = {}
  ye =[]
  for k,v in hurricanes.items():
    if v['Year']==year: 
      ye.append(v)
  hur_year[year] = ye
  return hur_year

print("Hurricane at 1932", hurrican_year(1932))



# write your count affected areas function here:
def count_area(hurricanes):
  counter = 0
  hur_areas = {}
  
  for hurricane in hurricanes.values():
    for area in hurricane['Areas Affected']: 
      if area in hur_areas: hur_areas[area] = hur_areas[area] + 1
      else: hur_areas[area] = 1
  return hur_areas
      
print()
hurrican_areas = count_area(hurricanes)

# write your find most affected area function here:
def max_hurricane_area(hurrican_areas):
  counter = []
  areas = []
  for k,v in hurrican_areas.items():
    counter.append(v)
    areas.append(k)
  max_area = areas[counter.index((max(counter)))]
  max_area_count = max(counter)
  return max_area, max_area_count

print('Most hurricaned area is:', max_hurricane_area(hurrican_areas))

# write your greatest number of deaths function here:
def hurricane_deaths(hurricanes):
  max_mortality = 0
  hurricane_mortal = ''
  for k,v in hurricanes.items():
    if v['Deaths'] > max_mortality:
      max_mortality = v['Deaths']
      hurricane_mortal = k
  return hurricane_mortal, max_mortality
print()
print('Most deadly hurricane', hurricane_deaths(hurricanes))



# write your catgeorize by mortality function here:
def mortality_rate(hurricanes):
  hurricanes_by_mortality = {0:[],1:[],2:[],3:[],4:[],5:[]}
  for k,v in hurricanes.items():
    if v['Deaths'] == 0:
      hurricanes_by_mortality[0].append(v)
    if v['Deaths'] < 100:
      hurricanes_by_mortality[1].append(v) 
    if v['Deaths'] >= 100 and v['Deaths'] <500:
      hurricanes_by_mortality[2].append(v)
    if v['Deaths'] >= 500 and v['Deaths'] < 1000:
      hurricanes_by_mortality[3].append(v)
    if v['Deaths'] >=1000 and v['Deaths'] < 10000:
      hurricanes_by_mortality[4].append(v)
    if v['Deaths'] >= 10000:
      hurricanes_by_mortality[5].append(v)
  return hurricanes_by_mortality

print()

print()
# write your greatest damage function here:
def hurricane_max_damage(hurricanes):
  max_damage = 0
  hurricane_damage = ''
  for k,v in hurricanes.items():
    if type(v['Damage']) == str: continue
    if v['Damage'] > max_damage:
      max_damage = v['Damage']
      hurricane_damage = k
  return hurricane_damage, max_damage
print('Max damage hurricane is:', hurricane_max_damage(hurricanes))
print()


# write your catgeorize by damage function here:

def damage_rate(hurricanes):
  hurricanes_by_damage = {"n/a": [], 0:[],1:[],2:[],3:[],4:[],5:[]}
  for k,v in hurricanes.items():
    
    if type(v['Damage']) == str:
      hurricanes_by_damage["n/a"].append(v)
      continue
    if v['Damage'] == 0:  
      hurricanes_by_damage[0].append(v)
    if v['Damage'] <= 100000000:
      hurricanes_by_damage[1].append(v) 
    if v['Damage'] <= 1000000000:
      hurricanes_by_damage[2].append(v)
    if v['Damage'] <= 10000000000:
      hurricanes_by_damage[3].append(v)
    if v['Damage'] <= 50000000000:
      hurricanes_by_damage[4].append(v)
    if v['Damage'] > 50000000000:
      hurricanes_by_damage[5].append(v)
  return hurricanes_by_damage
print(damage_rate(hurricanes))