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Last active Mar 1, 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}
def update_damages(damages):
u_damages =[]
for damage in damages:
test_char = damage[-1]
if test_char == 'd':
u_damages.append(damage)
else:
u_damages.append(float(damage[0:-1]) * conversion[test_char])
return u_damages
# test function by updating damages
updated_damages = update_damages(damages)
print(updated_damages)
# 2
# Create a Table
def create_hurr_dict():
return {names[i]: {'Name': names[i],
'Month': months[i],
'Year': years[i],
'Max Sustained Wind': max_sustained_winds[i],
'Areas Affected': areas_affected[i],
'Damage': updated_damages[i],
'Deaths': deaths[i]}
for i in range(len(names))}
# Create and view the hurricanes dictionary
hurricanes_dict = create_hurr_dict()
# print(hurricanes_dict)
# 3
# Organizing by Year
def organize_by_years():
h_years = {}
for hurricane in hurricanes_dict.values():
try:
h_years[hurricane['Year']].append(hurricane)
except:
h_years[hurricane['Year']] = [hurricane]
return h_years
# create a new dictionary of hurricanes with year and key
hurricanes_years = organize_by_years()
print( hurricanes_years[1932])
# 4
# Counting Damaged Areas
def count_dam_areas():
d_areas = {}
for hurricane in areas_affected:
for area in hurricane:
try:
d_areas[area] += 1
except:
d_areas[area] = 1
return d_areas
damaged_areas = count_dam_areas()
# create dictionary of areas to store the number of hurricanes involved in
# 5
# Calculating Maximum Hurricane Count
def max_hurricane_count():
area_m = ''
max_hits = 0
for area, hits in damaged_areas.items():
if hits > max_hits:
max_hits = hits
area_m = area
return area_m, max_hits
# find most frequently affected area and the number of hurricanes involved in
area_m, max_hits = max_hurricane_count()
print(f'{area_m} - {max_hits}')
# 6
# Calculating the Deadliest Hurricane
def deathliest():
d_name = ''
deaths = 0
for name, hurricane in hurricanes_dict.items():
if hurricane['Deaths'] > deaths:
deaths = hurricane['Deaths']
d_name = name
return (d_name, deaths)
# find highest mortality hurricane and the number of deaths
deadliest_name, deaths = deathliest()
print(f'Deadliest hurricane is {deadliest_name} - {deaths} victims')
# 7
# Rating Hurricanes by Mortality
mortality_rate ={0: 0,
1: [],
2: [],
3: [],
4: []}
mortality_scale = {0: 0,
1: 100,
2: 500,
3: 1000,
4: 10000}
def rate_hurr_mort():
for name, hurricane in hurricanes_dict.items():
for rate, deaths in mortality_scale.items():
if hurricane['Deaths'] <= deaths:
mortality_rate[rate].append(name)
break
# categorize hurricanes in new dictionary with mortality severity as key
rate_hurr_mort()
print(mortality_rate)
# 8 Calculating Hurricane Maximum Damage
def calculate_max_demage(dict):
max_dam = 0
hurr = {}
for hurricane in dict.values():
try:
if hurricane['Damage'] > max_dam:
max_dam = hurricane['Damage']
hurr = hurricane
except:
continue
return hurr
# find highest damage inducing hurricane and its total cost
hurricane_max_damage = calculate_max_demage(hurricanes_dict)
print(f'The hurricane caused the greatest damage is {hurricane_max_damage["Name"]} - {hurricane_max_damage["Damage"]}$')
# 9
# Rating Hurricanes by Damage
damage_rate ={0: 0,
1: [],
2: [],
3: [],
4: []}
damage_scale = {0: 0,
1: 100000000,
2: 1000000000,
3: 10000000000,
4: 50000000000}
def rate_hurr_damage():
for name, hurricane in hurricanes_dict.items():
for rate, damage in damage_scale.items():
try:
if hurricane['Damage'] <= damage:
damage_rate[rate].append(name)
break
except:
continue
# categorize hurricanes in new dictionary with damage severity as key
rate_hurr_damage()
print(damage_rate)
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