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Created Jul 21, 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]
# 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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