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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 | |
for i in range(0, len(damages)): | |
if "B" in damages[i]: | |
damages[i] = damages[i].replace('B', "") | |
damages[i] = float(damages[i]) * 1000000000 | |
elif "M" in damages[i]: | |
damages[i] = damages[i].replace("M", "") | |
damages[i] = float(damages[i]) * 1000000 | |
#print(damages) | |
# 2 | |
# Create a Table | |
hurricane_dict = {} | |
# Create and view the hurricanes dictionary | |
def dict_create(a,b,c,d,e,f,g): | |
for i in range(0, len(a)): | |
hurricane_dict[a[i]] = [{"Name":a[i]},{"Month":b[i]},{"Year":c[i]},{"Max Sustained Wind":d[i]},{"Areas Affected":e[i]},{"Damage":f[i]},{"Deaths":g[i]}] | |
dict_create(names,months,years,max_sustained_winds,areas_affected, damages,deaths) | |
#print(hurricane_dict) | |
# 3 | |
# Organizing by Year | |
cane_year_dict = {} | |
# create a new dictionary of hurricanes with year and key | |
def cane_by_year(x): | |
for i in x: | |
for j in x[i]: | |
if 'Year' in j: | |
current_year = j['Year'] | |
if current_year not in cane_year_dict: | |
cane_year_dict[current_year] = x[i] | |
elif current_year in cane_year_dict: | |
cane_year_dict[current_year].append(x[i]) | |
return cane_year_dict | |
#print(cane_by_year(hurricane_dict)) | |
# 4 | |
# Counting Damaged Areas | |
hurricount = {} | |
# create dictionary of areas to store the number of hurricanes involved in | |
def counting_the_locanetions(x): | |
for i in x: | |
for j in x[i]: | |
if 'Areas Affected' in j: | |
for q in j['Areas Affected']: | |
if q not in hurricount: | |
hurricount[q] = 1 | |
elif q in hurricount: | |
hurricount[q] += 1 | |
return hurricount | |
counting_the_locanetions(hurricane_dict) | |
# 5 | |
# Calculating Maximum Hurricane Count | |
# find most frequently affected area and the number of hurricanes involved in | |
def maximum_huricount(x): | |
ground_0 = 0 | |
for i in x: | |
if x[i] > ground_0: | |
ground_0 = x[i] | |
else: | |
continue | |
return ground_0 | |
#print(maximum_huricount(hurricount)) | |
# 6 | |
# Calculating the Deadliest Hurricane | |
deadliest = 0 | |
# find highest mortality hurricane and the number of deaths | |
def hurricane_killer(x): | |
hurricane = "" | |
deaths = 0 | |
for i in x: | |
for j in x[i]: | |
if 'Deaths' in j: | |
if j['Deaths'] > deaths: | |
deaths = j['Deaths'] | |
hurricane = x[i][0]['Name'] | |
return (deaths), (hurricane) | |
deaths, hurricane = hurricane_killer(hurricane_dict) | |
#print("The Hurricane that caused the most death is hurricane {} at a count of {} people".format(hurricane, deaths)) | |
#print(hurricane_killer(hurricane_dict)) | |
# 7 | |
# Rating Hurricanes by Mortality | |
def mortality_ratings(x): | |
rate_my_cane = {0:[], 1:[], 2:[], 3:[], 4:[], 5:[]} | |
for i in x: | |
for j in x[i]: | |
if 'Deaths' in j: | |
if j['Deaths'] < 1: | |
rate_my_cane[0].append(x[i][0]['Name']) | |
elif j['Deaths'] > 1 and j['Deaths'] <= 100: | |
rate_my_cane[1].append(x[i][0]['Name']) | |
elif j['Deaths'] > 100 and j['Deaths'] <= 500: | |
rate_my_cane[2].append(x[i][0]['Name']) | |
elif j['Deaths'] > 500 and j['Deaths'] <= 1000: | |
rate_my_cane[3].append(x[i][0]['Name']) | |
elif j['Deaths'] > 1000 and j['Deaths'] <= 10000: | |
rate_my_cane[4].append(x[i][0]['Name']) | |
elif j['Deaths'] > 10000: | |
rate_my_cane[5].append(x[i][0]['Name']) | |
return rate_my_cane | |
#print(mortality_ratings(hurricane_dict)) | |
# categorize hurricanes in new dictionary with mortality severity as key | |
# 8 Calculating Hurricane Maximum Damage | |
def thats_alot_of_damage(x): | |
to_the_max = 0 | |
hurricane = "" | |
for i in x: | |
for j in x[i]: | |
if 'Damage' in j: | |
if not type(j['Damage']) == float: | |
break | |
elif j['Damage'] > to_the_max: | |
to_the_max = j['Damage'] | |
hurricane = x[i][0]['Name'] | |
return to_the_max, hurricane | |
print(thats_alot_of_damage(hurricane_dict)) | |
# find highest damage inducing hurricane and its total cost | |
# 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 | |
def how_you_hurt(x): | |
hurtiness = {0:[], 1:[], 2:[], 3:[], 4:[], 5:[]} | |
for i in x: | |
for j in x[i]: | |
if 'Damage' in j: | |
if not type(j['Damage']) == float: | |
hurtiness[0].append(x[i][0]['Name']) | |
break | |
elif j['Damage'] < 1: | |
huriness[0].append(x[i][0]['Name']) | |
elif j['Damage'] > 1 and j['Damage'] <= 100000000: | |
hurtiness[1].append(x[i][0]['Name']) | |
elif j['Damage'] > 100000000 and j['Damage'] <= 1000000000: | |
hurtiness[2].append(x[i][0]['Name']) | |
elif j['Damage'] > 1000000000 and j['Damage'] <= 10000000000: | |
hurtiness[3].append(x[i][0]['Name']) | |
elif j['Damage'] > 10000000000 and j['Damage'] <= 50000000000: | |
hurtiness[4].append(x[i][0]['Name']) | |
elif j['Damage'] > 50000000000: | |
hurtiness[5].append(x[i][0]['Name']) | |
return hurtiness | |
print(how_you_hurt(hurricane_dict)) |
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