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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} | |
# test function by updating damages | |
def create_update_damages(lst): | |
updated_damages = [] | |
for damage in damages: | |
if damage[-1] == 'M': | |
updated_damages.append(float(damage.strip('M'))*conversion["M"]) | |
if damage[-1] == 'B': | |
updated_damages.append(float(damage.strip('B'))*conversion["B"]) | |
if damage == 'Damages not recorded': | |
updated_damages.append(damage) | |
return updated_damages | |
updated_damages = create_update_damages(damages) | |
# 2 | |
# Create a Table | |
# Create and view the hurricanes dictionary | |
def to_name(): | |
hurricanes_by_name = {} | |
for index in range(len(names)): | |
hurricanes_by_name[names[index]] = {"Name": names[index], "Month": months[index], | |
"Year": years[index], | |
"Max Sustained Wind": max_sustained_winds[index], | |
"Areas Affected": areas_affected[index], | |
"Damage": updated_damages[index], | |
"Deaths": deaths[index]} | |
return hurricanes_by_name | |
hurricanes = to_name() | |
def to_year(hurricanes): | |
hurricanes_by_year = {} | |
for key in hurricanes: | |
current_year = hurricanes[key]["Year"] | |
current_cane = hurricanes[key] | |
if current_year not in hurricanes_by_year: | |
hurricanes_by_year[current_year] = [current_cane] | |
else: hurricanes_by_year[current_year].append(current_cane) | |
return hurricanes_by_year | |
hurricanes_by_year = to_year(hurricanes) | |
# 4 | |
# Counting Damaged Areas | |
def hurricane_count(hurricanes): | |
hurricanes_counted = dict() | |
for hurricane in hurricanes: | |
for area in hurricanes[hurricane]["Areas Affected"]: | |
if area in hurricanes_counted: | |
hurricanes_counted[area] += 1 | |
else: hurricanes_counted[area] = 1 | |
return hurricanes_counted | |
hurricanes_counted = hurricane_count(hurricanes) | |
# create dictionary of areas to store the number of hurricanes involved in | |
# 5 | |
# Calculating Maximum Hurricane Count | |
def most_affected(hurricanes_counted): | |
max_area = 'Central America' | |
max_area_count = 0 | |
for index in hurricanes_counted: | |
count = hurricanes_counted[index] | |
if count > max_area_count: | |
max_area_count = count | |
max_area = index | |
return max_area, max_area_count | |
# find most frequently affected area and the number of hurricanes involved in | |
# 6 | |
# Calculating the Deadliest Hurricane | |
def most_deaths(hurricanes): | |
max_mortality_cane = 'Cuba I' | |
max_mortality = 0 | |
for index in hurricanes: | |
death_count = hurricanes[index]["Deaths"] | |
if death_count > max_mortality: | |
max_mortality = death_count | |
max_mortality_cane = index | |
return max_mortality, max_mortality_cane | |
# find highest mortality hurricane and the number of deaths | |
most_deaths = most_deaths(hurricanes) | |
# 7 | |
# Rating Hurricanes by Mortality | |
mortality_scale = {0: 0, | |
1: 100, | |
2: 500, | |
3: 1000, | |
4: 10000} | |
def rated_hurricanes(hurricanes): | |
hurricanes_by_mortality = {0:[],1:[],2:[],3:[],4:[],5:[]} | |
for index in hurricanes: | |
death_count = hurricanes[index]["Deaths"] | |
if 0 < death_count < 100 : | |
hurricanes_by_mortality[0].append(index) | |
elif 100 <= death_count < 500: | |
hurricanes_by_mortality[1].append(index) | |
elif 500 <= death_count < 1000: | |
hurricanes_by_mortality[2].append(index) | |
elif 1000 <= death_count < 10000: | |
hurricanes_by_mortality[3].append(index) | |
elif 10000 <= death_count < 10000: | |
hurricanes_by_mortality[4].append(index) | |
else: hurricanes_by_mortality[5].append(index) | |
return hurricanes_by_mortality | |
rated_hurricanes = rated_hurricanes(hurricanes) | |
# categorize hurricanes in new dictionary with mortality severity as key | |
# 8 Calculating Hurricane Maximum Damage | |
def most_damage(hurricanes): | |
max_damage_cane = 'Cuba I' | |
max_damage = 0 | |
for index in hurricanes: | |
damage = hurricanes[index]["Damage"] | |
if damage == 'Damages not recorded': | |
continue | |
elif damage > max_damage: | |
max_damage = damage | |
max_damage_cane = index | |
return max_damage, max_damage_cane | |
most_damage = most_damage(hurricanes) | |
# find highest damage inducing hurricane and its total cost | |
damage_scale = {0: 0, | |
1: 100000000, | |
2: 1000000000, | |
3: 10000000000, | |
4: 50000000000} | |
def hurricanes_by_damage(hurricanes): | |
hurricanes_by_damage = {0:[],1:[],2:[],3:[],4:[],5:[]} | |
for index in hurricanes: | |
damage = hurricanes[index]["Damage"] | |
if damage == 'Damages not recorded': | |
continue | |
elif damage == 0: | |
hurricanes_by_damage[0].append(index) | |
elif 0 < damage < damage_scale[1]: | |
hurricanes_by_damage[1].append(index) | |
elif damage_scale[1] <= damage < damage_scale[2]: | |
hurricanes_by_damage[2].append(index) | |
elif damage_scale[2] <= damage < damage_scale[3]: | |
hurricanes_by_damage[3].append(index) | |
elif damage_scale[3] <= damage < damage_scale[4]: | |
hurricanes_by_damage[4].append(index) | |
else: hurricanes_by_damage[5].append(index) | |
return hurricanes_by_damage | |
hurricanes_by_damage = hurricanes_by_damage(hurricanes) | |
print(hurricanes_by_damage) | |
# 9 | |
# Rating Hurricanes by Damage | |
# categorize hurricanes in new dictionary with damage severity as key | |
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