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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(list): | |
updtd_dmg = [float(dmg[:-1])*conversion.get(dmg[-1]) if dmg != 'Damages not recorded' else 'Damages not recorded' for dmg in list] | |
return updtd_dmg | |
# test function by updating damages | |
new_damages = update_damages(damages) | |
#print(new_damages) | |
# 2 | |
# Create a Table | |
def hurricane_tbl(name, mths, yrs, wind, area, damage, death): | |
index = 0 | |
dict = {} | |
for i in range(len(name)): | |
dict[name[index]] = {'Name':name[index],'Month':mths[index],'Year':years[index], 'Max Sustained Wind':wind[index], 'Areas Affected':area[index], 'Damage':damage[index], 'Deaths':death[index]} | |
index += 1 | |
return dict | |
# Create and view the hurricanes dictionary | |
hurricane_info = hurricane_tbl(names, months, years, max_sustained_winds, areas_affected, new_damages, deaths) | |
#print(hurricane_info) | |
# 3 | |
# Organizing by Year | |
def hurricanes_by_year(hurricane_dict): | |
hurricane_yr_dict = {} | |
for hurricane in hurricane_dict.keys(): | |
name = hurricane | |
year = hurricane_dict[hurricane]['Year'] | |
if year in hurricane_yr_dict.keys(): | |
hurricane_yr_dict[year].append(hurricane_dict.get(hurricane)) | |
else: | |
hurricane_yr_dict[year] = [hurricane_dict.get(hurricane)] | |
return hurricane_yr_dict | |
new_hurricane_dict = hurricanes_by_year(hurricane_info) | |
#print(new_hurricane_dict) | |
#print(new_hurricane_dict.get(2005)) | |
# # create a new dictionary of hurricanes with year and key | |
# print(hurricanes_by_yr(hurricane_info)) | |
# 4 | |
# Counting Damaged Areas | |
def hurricanes_by_region(area_list): | |
area_dict = {} | |
for lst in area_list: | |
for area in lst: | |
if area in area_dict.keys(): | |
count = area_dict.get(area) + 1 | |
area_dict[area] = count | |
else: | |
area_dict[area] = 1 | |
return area_dict | |
# create dictionary of areas to store the number of hurricanes involved in | |
hurricanes_area_dict = hurricanes_by_region(areas_affected) | |
#print(hurricanes_area_dict) | |
# 5 | |
# Calculating Maximum Hurricane Count | |
def most_hurricanes(area_dict): | |
most_hit = max(area_dict.values()) | |
for x,y in area_dict.items(): | |
if y == most_hit: | |
return x,y | |
#print(most_hurricanes(hurricanes_area_dict)) | |
# find most frequently affected area and the number of hurricanes involved in | |
# 6 | |
# Calculating the Deadliest Hurricane | |
def deadliest_hurricane(hurricane_dictionary): | |
high_deaths = 0 | |
for hurricane in hurricane_dictionary.keys(): | |
if hurricane_dictionary[hurricane]['Deaths'] > high_deaths: | |
high_deaths = hurricane_dictionary[hurricane]['Deaths'] | |
high_death_cane = hurricane | |
return high_death_cane, high_deaths | |
# find highest mortality hurricane and the number of deaths | |
most_deaths = deadliest_hurricane(hurricane_info) | |
#print(most_deaths) | |
# 7 | |
# Rating Hurricanes by Mortality | |
def hurricane_mortality_scale(hurricane_dict): | |
mortality_dict = {0:[], 1:[], 2:[], 3:[], 4:[]} | |
for hurricane in hurricane_dict.keys(): | |
name = hurricane | |
deaths = hurricane_dict[hurricane]['Deaths'] | |
if deaths < 100: | |
mortality_dict[0].append(hurricane_dict.get(hurricane)) | |
elif deaths < 500: | |
mortality_dict[1].append(hurricane_dict.get(hurricane)) | |
elif deaths < 1000: | |
mortality_dict[2].append(hurricane_dict.get(hurricane)) | |
elif deaths < 10000: | |
mortality_dict[3].append(hurricane_dict.get(hurricane)) | |
else: | |
mortality_dict[4].append(hurricane_dict.get(hurricane)) | |
return mortality_dict | |
mortality_dict = hurricane_mortality_scale(hurricane_info) | |
#print(mortality_dict) | |
#print(mortality_dict[4]) | |
# categorize hurricanes in new dictionary with mortality severity as key | |
# 8 Calculating Hurricane Maximum Damage | |
def costliest_hurricane(hurricane_dictionary): | |
high_dmg = 0 | |
for hurricane in hurricane_dictionary.keys(): | |
try: #try statement cannot operate like an if statement | |
if hurricane_dictionary[hurricane]['Damage'] > high_dmg: | |
high_dmg = hurricane_dictionary[hurricane]['Damage'] | |
high_dmg_cane = hurricane | |
except TypeError: | |
continue | |
return high_dmg_cane, high_dmg | |
# find highest damage inducing hurricane and its total cost | |
most_dmg = costliest_hurricane(hurricane_info) | |
#print(most_dmg) | |
# 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 | |
def hurricane_damage_scale(hurricane_dict): | |
damage_dict = {0:[], 1:[], 2:[], 3:[], 4:[], 5:[]} | |
for hurricane in hurricane_dict.keys(): | |
name = hurricane | |
damage = hurricane_dict[name]['Damage'] | |
try: | |
if damage <= 0: | |
damage_dict[0].append(hurricane_dict.get(hurricane)) | |
elif damage < damage_scale[1]: | |
damage_dict[1].append(hurricane_dict.get(hurricane)) | |
elif damage < damage_scale[2]: | |
damage_dict[2].append(hurricane_dict.get(hurricane)) | |
elif damage < damage_scale[3]: | |
damage_dict[3].append(hurricane_dict.get(hurricane)) | |
elif damage < damage_scale[4]: | |
damage_dict[4].append(hurricane_dict.get(hurricane)) | |
else: | |
damage_dict[5].append(hurricane_dict.get(hurricane)) | |
except TypeError: | |
damage_dict[0].append(hurricane_dict.get(hurricane)) | |
return damage_dict | |
damage_dict = hurricane_damage_scale(hurricane_info) | |
#print(damage_dict) | |
#print(damage_dict[0]) | |
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