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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] | |
# 1 | |
# Update Recorded Damages | |
conversion = {"M": 1000000, | |
"B": 1000000000} | |
def damages_cleaned(records): | |
conversion = {"M": 1000000, | |
"B": 1000000000} | |
damages = [] | |
for record in records: | |
if 'M' in record: | |
new_record = record.replace('M', '') | |
new_record = float(new_record) * conversion['M'] | |
elif 'B' in record: | |
new_record = record.replace('B', '') | |
new_record = float(new_record) * conversion['B'] | |
else: | |
new_record = 'Damages not recorded' | |
damages.append(new_record) | |
return(damages) | |
# test function by updating damages | |
Damages = damages_cleaned(damages) | |
# 2 | |
# Create a Table | |
def hurricane_dict(Names, Months, Years, Max_winds, Affected_Areas, Damages, Deaths): | |
sub = [] | |
for i in range(len(Names)): | |
sub.append(dict(Name= Names[i], Month= Months[i], Year= Years[i], Maximum_Sustained_Wind= Max_winds[i], Areas_Affected = Affected_Areas[i], Damage = Damages[i], Deaths=Deaths[i])) | |
main_dict = dict(zip(names,sub)) | |
return main_dict | |
# Create and view the hurricanes dictionary | |
Hurricane = hurricane_dict(names, months, years, max_sustained_winds, areas_affected, Damages, deaths) | |
print(Hurricane) | |
# 3 | |
# Organizing by Year | |
def hurricane_year_info(data): | |
current_year =[] | |
current_cane = [] | |
if type(data) == dict: | |
for key in data.keys(): | |
current_year.append(data[key]['Year']) | |
for value in data.values(): | |
new_value = [value] | |
current_cane.append(new_value) | |
return dict(zip(current_year, current_cane)) | |
# create a new dictionary of hurricanes with year and key | |
hurricane_year = print(hurricane_year_info(Hurricane)) | |
# 4 | |
# Counting Damaged Areas | |
def count_damaged_areas(hurricane_data): | |
Area = [] | |
Area_count = [] | |
for key, value in hurricane_data.items(): | |
for area in hurricane_data[key]['Areas_Affected']: | |
Area.append(area) | |
Area_count.append(Area.count(area)) | |
return(dict(zip(Area, Area_count))) | |
# create dictionary of areas to store the number of hurricanes involved in | |
Number_of_times_area_affected = count_damaged_areas(Hurricane) | |
print('\n', Number_of_times_area_affected) | |
# 5 | |
# Calculating Maximum Hurricane Count | |
def most_affected_area(hurricane_data): | |
v = hurricane_data.values() | |
max_area_count = max(v) | |
for k,v in hurricane_data.items(): | |
max_area = max(hurricane_data, key = hurricane_data.get) | |
return (max_area, max_area_count) | |
# find most frequently affected area and the number of hurricanes involved in | |
area_most_affected = most_affected_area(Number_of_times_area_affected) | |
print('\nThe most area affected and the number of times is {}'.format(area_most_affected)) | |
# 6 | |
# Calculating the Deadliest Hurricane | |
def most_deaths(hurricane_info): | |
highest_death = '' | |
highest_death_count = 0 | |
for hurricane in hurricane_info: | |
if hurricane_info[hurricane]['Deaths'] > highest_death_count: | |
highest_death = hurricane | |
highest_death_count = hurricane_info[hurricane]['Deaths'] | |
return highest_death, highest_death_count | |
# find highest mortality hurricane and the number of deaths | |
highest_mortality = most_deaths(Hurricane) | |
print(highest_mortality) | |
# 7 | |
# Rating Hurricanes by Mortality | |
def find_hurricane_mortality_rating(hurricane_info): | |
mortality_scale = {0: 0, | |
1: 100, | |
2: 500, | |
3: 1000, | |
4: 10000} | |
hurricane_mortality_rating = {0:[],1:[],2:[],3:[],4:[],5:[]} | |
for hurricane in hurricane_info: | |
if hurricane_info[hurricane]['Deaths'] == mortality_scale[0]: | |
hurricane_mortality_rating[0].append(hurricane) | |
elif mortality_scale[0] < hurricane_info[hurricane]['Deaths'] <= mortality_scale[1]: | |
hurricane_mortality_rating[1].append(hurricane) | |
elif mortality_scale[1] < hurricane_info[hurricane]['Deaths'] <= mortality_scale[2]: | |
hurricane_mortality_rating[2].append(hurricane) | |
elif mortality_scale[2] < hurricane_info[hurricane]['Deaths'] <= mortality_scale[3]: | |
hurricane_mortality_rating[3].append(hurricane) | |
elif mortality_scale[3] < hurricane_info[hurricane]['Deaths'] <= mortality_scale[4]: | |
hurricane_mortality_rating[4].append(hurricane) | |
else: | |
hurricane_mortality_rating[5].append(hurricane) | |
return hurricane_mortality_rating | |
# categorize hurricanes in new dictionary with mortality severity as key | |
hurricane_mortality_grade = find_hurricane_mortality_rating(Hurricane) | |
print(hurricane_mortality_grade) | |
# 8 Calculating Hurricane Maximum Damage | |
def most_damage(hurricane_info): | |
highest_damage = '' | |
highest_cost = 0 | |
for hurricane in hurricane_info: | |
if hurricane_info[hurricane]['Damage'] == 'Damages not recorded': | |
hurricane_info[hurricane]['Damage'] = 0 | |
if hurricane_info[hurricane]['Damage'] > highest_cost: | |
highest_damage = hurricane | |
highest_cost = hurricane_info[hurricane]['Damage'] | |
return highest_damage, highest_cost | |
# find highest damage inducing hurricane and its total cost | |
hurricane_highest_damage = most_damage(Hurricane) | |
print(hurricane_highest_damage) | |
# 9 | |
# Rating Hurricanes by Damage | |
damage_scale = {0: 0, | |
1: 100000000, | |
2: 1000000000, | |
3: 10000000000, | |
4: 50000000000} | |
def rate_hurricane_damage(hurricane_info): | |
damage_scale = {0: 0, | |
1: 100000000, | |
2: 1000000000, | |
3: 10000000000, | |
4: 50000000000} | |
hurricane_damage_scale = {0:[],1:[],2:[],3:[],4:[],5:[]} | |
for hurricane in hurricane_info: | |
if hurricane_info[hurricane]['Damage'] == damage_scale[0]: | |
hurricane_damage_scale[0].append(hurricane) | |
elif damage_scale[0] < hurricane_info[hurricane]['Damage'] <= damage_scale[1]: | |
hurricane_damage_scale[1].append(hurricane) | |
elif damage_scale[1] < hurricane_info[hurricane]['Damage'] <= damage_scale[2]: | |
hurricane_damage_scale[2].append(hurricane) | |
elif damage_scale[2] < hurricane_info[hurricane]['Damage'] <= damage_scale[3]: | |
hurricane_damage_scale[3].append(hurricane) | |
elif damage_scale[3] < hurricane_info[hurricane]['Damage'] <= damage_scale[4]: | |
hurricane_damage_scale[4].append(hurricane) | |
else: | |
hurricane_damage_scale[5].append(hurricane) | |
return hurricane_damage_scale | |
# categorize hurricanes in new dictionary with damage severity as key | |
hurricane_damage_grade = rate_hurricane_damage(Hurricane) | |
print(hurricane_damage_grade) |
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