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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_list,convert):
n_damages=[]
for item in damages_list:
if item[-1]=='B':
x = float(item[:len(item)-1])*convert.get("B")
n_damages.append(x)
elif item[-1]=='M':
y = float(item[:len(item)-1])*convert.get("M")
n_damages.append(y)
else:
n_damages.append(item)
return n_damages
# test function by updating damages
updated_damage= update_damages(damages,conversion)
print(updated_damage)
# 2
# Create a Table
def hurricane_data(names,months,years,max_sustained_winds,areas_affected,updated_damage,deaths):
hurricanes={}
for i in range(len(names)):
hurricanes[names[i]]={'Name':names[i],'Month':months[i],'Year':years[i],'Max Sustained Wind':max_sustained_winds[i],'Areas affected':areas_affected[i],"Damages":updated_damage[i],"Deaths":deaths[i]}
return hurricanes
# Create and view the hurricanes dictionary
hurricane=hurricane_data(names,months,years,max_sustained_winds,areas_affected,updated_damage,deaths)
print('\n')
print(hurricane)
# 3
# Organizing by Year
years_dict= []
for n, m, y, ma, a, da, z in zip(names, months, years, max_sustained_winds, areas_affected, updated_damage, deaths):
dict = {y: {'Name': n, 'Month':m, 'Year': y, 'Max_sustained_wind': ma, 'Area_affected': a, 'Damage': da, 'Deaths': z}}
years_dict.append(dict)
print('\n')
print(years_dict)
print('\n')
# create a new dictionary of hurricanes with year and key
def count_areas(affected_areas):
areas={}
for area in affected_areas:
for i in area:
if not i in areas:
areas[i] =1
else:
areas[i]+=1
return areas
print('\n')
areas_count=count_areas(areas_affected)
print(areas_count)
# 4
# Counting Damaged Areas
# create dictionary of areas to store the number of hurricanes involved in
# 5
# Calculating Maximum Hurricane Count
def most_affected(areas_count):
most_aff_area=''
most_aff_count=0
for i in areas_count:
if areas_count[i]>most_aff_count:
most_aff_area=i
most_aff_count=areas_count[i]
return most_aff_area,most_aff_count
# find most frequently affected area and the number of hurricanes involved in
print(most_affected(areas_count))
# 6
# Calculating the Deadliest Hurricane
def deadly_hurricane(hurricane):
n_o_deaths=0
d_cane=''
for cane in hurricane:
if hurricane[cane]['Deaths']>n_o_deaths:
n_o_deaths = hurricane[cane]['Deaths']
d_cane=cane
return n_o_deaths,d_cane
# find highest mortality hurricane and the number of deaths
print('\n', deadly_hurricane(hurricane))
# 7
# Rating Hurricanes by Mortality
print((list(hurricane[cane]['Deaths'] for cane in hurricane)))
# categorize hurricanes in new dictionary with mortality severity as key
moratality_scale={0:0,1:100,2:500,3:1000,4:10000}
rating={0:[],1:[],2:[],3:[],4:[],5:[]}
def mortality_cane(hurricane):
for cane in hurricane:
if hurricane[cane]["Deaths"]>10000:
rating[5].append(hurricane.get(cane))
elif hurricane[cane]['Deaths']>1000:
rating[4].append(hurricane.get(cane))
elif hurricane[cane]['Deaths']>500:
rating[3].append(hurricane.get(cane))
elif hurricane[cane]['Deaths']>100:
rating[2].append(hurricane.get(cane))
elif hurricane[cane]['Deaths']>0:
rating[1].append(hurricane.get(cane))
else:
rating[0].append(hurricane.get(cane))
return rating
print(mortality_cane(hurricane))
# 8 Calculating Hurricane Maximum Damage
def max_damage(hurricane):
maxi=0
max_d_cane=''
for cane in hurricane:
if hurricane[cane]['Damages']=='Damages not recorded':
continue
if hurricane[cane]['Damages']>maxi:
maxi=hurricane[cane]['Damages']
max_d_cane=hurricane[cane]['Name']
return maxi,max_d_cane
# find highest damage inducing hurricane and its total cost
print(max_damage(hurricane))
# 9
# Rating Hurricanes by Damage
damage_scale = {0: 0,
1: 100000000,
2: 1000000000,
3: 10000000000,
4: 50000000000}
# categorize hurricanes in new dictionary with damage severity as key
cane_damage = {0:[],1:[],2:[],3:[],4:[],5:[]}
def damage_cane_const(hurricane):
for cane in hurricane:
if hurricane[cane]['Damages']=='Damages not recorded':
continue
elif hurricane[cane]['Damages']>50000000000:
cane_damage[5].append(hurricane.get(cane))
elif hurricane[cane]['Damages']>10000000000:
cane_damage[4].append(hurricane.get(cane))
elif hurricane[cane]['Damages']>1000000000:
cane_damage[3].append(hurricane.get(cane))
elif hurricane[cane]['Damages']>100000000:
cane_damage[2].append(hurricane.get(cane))
elif hurricane[cane]['Damages']>0:
cane_damage[1].append(hurricane.get(cane))
else:
cane_damage[0].append(hurricane.get(cane))
return cane_damage
print('\n', damage_cane_const(hurricane))
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