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Created Feb 14, 2021
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# 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_damages(damages):
new_damages = []
conversion = {"M": 1000000,
"B": 1000000000}
for damage in damages:
if damage == 'Damages not recorded':
new_damages.append(damage)
elif damage[-1] in conversion.keys():
new_value = float(damage[:-1]) * conversion[damage[-1]]
new_damages.append(new_value)
return new_damages
updated_damages = update_damages(damages)
print(updated_damages)
# write your construct hurricane dictionary function here:
def f_hurricanes(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths):
hurricanes = {}
num_hurricanes = len(names)
for i in range(num_hurricanes):
hurricanes[names[i]] = {"names": names[i],"months": months[i],
"years": years[i],
"max_sustained_winds": max_sustained_winds[i],
"areas_affected": areas_affected[i],
"updated_damages": updated_damages[i],
"deaths": deaths[i]}
return hurricanes
my_hurricane_dict = f_hurricanes(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths)
print(my_hurricane_dict)
# write your construct hurricane by year dictionary function here:
def hurricane_by_year(dictionary):
years_dict = {}
for i in dictionary.values():
year = i.get("Year")
name = i.get("Name")
month = i.get("Month")
year = i.get("Year")
max_w = i.get("Max Sustained Wind")
area_a = i.get("Areas Affected")
damage = i.get("Damage")
deaths = i.get("Deaths")
years_dict.update({year: [name, month, year, max_w, area_a, damage, deaths]})
return years_dict
hurricanes_dict_year = hurricane_by_year(my_hurricane_dict)
print(hurricanes_dict_year.get(1932))
# write your count affected areas function here:
def count_aff_areas(areas_affected):
dictionary = {}
for areas in areas_affected:
for area in areas:
if area not in dictionary.keys():
dictionary[area] = 1
else:
dictionary[area] += 1
print(dictionary)
count_aff_areas(areas_affected)
# for areas in areas_affected:
# for area in areas:
# print(area)
# write your find most affected area function here:
def most_hurricanes(areas_affected):
dictionary = {}
for areas in areas_affected:
for area in areas:
if area not in dictionary.keys():
dictionary[area] = 1
else:
dictionary[area] += 1
hurricane_area = max(dictionary, key=dictionary.get)
hurricane_count = dictionary[max(dictionary, key=dictionary.get)]
print(f'The most affected area is {hurricane_area} with {hurricane_count} hurricanes.')
most_hurricanes(areas_affected)
# write your greatest number of deaths function here:
def greatest_number_deaths(dictionary):
deathly_hurricane = ''
death_count = 0
for hurricane in dictionary:
if dictionary[hurricane]['deaths'] > death_count:
deathly_hurricane = dictionary[hurricane]['names']
death_count = dictionary[hurricane]['deaths']
death_dict = {deathly_hurricane: death_count}
print(death_dict)
print(f' The most deathly hurricane is {deathly_hurricane}: {death_count} deaths')
print(death_dict)
greatest_number_deaths(my_hurricane_dict)
# write your catgeorize by mortality function here:
def mortality_rating(dictionary):
hurricanes_by_mortality = {0:[],1:[],2:[],3:[],4:[],5:[]}
death_count = 0
deathly_hurricane = ''
for hurricane in dictionary:
deathly_hurricane = dictionary[hurricane]['names']
death_count = dictionary[hurricane]['deaths']
death_dict = {deathly_hurricane: death_count}
if death_count == 0:
hurricanes_by_mortality[0].append(deathly_hurricane)
elif death_count <= 100:
hurricanes_by_mortality[1].append(deathly_hurricane)
elif death_count <= 500:
hurricanes_by_mortality[2].append(deathly_hurricane)
elif death_count <= 1000:
hurricanes_by_mortality[3].append(deathly_hurricane)
elif death_count <= 10000:
hurricanes_by_mortality[4].append(deathly_hurricane)
else:
hurricanes_by_mortality[5].append(deathly_hurricane)
print(hurricanes_by_mortality)
mortality_rating(my_hurricane_dict)
# write your greatest damage function here:
def greatest_damage(dictionary):
max_damage_cane = ''
max_damage = 0
for hurricane in dictionary:
if dictionary[hurricane]['updated_damages'] == 'Damages not recorded':
pass
elif dictionary[hurricane]['updated_damages'] > max_damage:
max_damage_cane = dictionary[hurricane]['names']
max_damage = dictionary[hurricane]['updated_damages']
print({max_damage_cane: max_damage})
greatest_damage(my_hurricane_dict)
# write your catgeorize by damage function here:
def damage_scale(dictionary):
hurricanes_by_damage = {0:[],1:[],2:[],3:[],4:[],5:[]}
hurricane_name = ''
for hurricane in dictionary:
hurricane_name = dictionary[hurricane]['names']
hurricane_damage = dictionary[hurricane]['updated_damages']
if hurricane_damage == 'Damages not recorded':
pass
elif hurricane_damage == 0:
hurricanes_by_damage[0].append(hurricane_name)
elif hurricane_damage <= 100000000:
hurricanes_by_damage[1].append(hurricane_name)
elif hurricane_damage <= 1000000000:
hurricanes_by_damage[2].append(hurricane_name)
elif hurricane_damage <= 10000000000:
hurricanes_by_damage[3].append(hurricane_name)
elif hurricane_damage <= 50000000000:
hurricanes_by_damage[4].append(hurricane_name)
else:
hurricanes_by_damage[5].append(hurricane_name)
print(hurricanes_by_damage)
damage_scale(my_hurricane_dict)
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