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Created March 27, 2022 18:15
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# -*- coding: utf-8 -*-
"""
Created on Sun Mar 27 12:44:56 2022
"""
# 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 updated_damages(damages):
result = []
for damage in damages:
if damage == 'Damages not recorded':
result.append(damage)
else:
result.append(conversion[damage[-1]] * float(damage[:-1]))
return result
# print(updated_damages(damages))
# 2
# Create a Table
def hurricanes_dict(Name, Month, Year, Max_Sustained_Wind, Areas_Affected, Damage, Death):
result = {}
for i in range(len(Name)):
result.update({Name[i]: {'Name': Name[i], 'Month': Month[i], 'Year': Year[i], 'Max Sustained Wind': Max_Sustained_Wind[i], 'Areas Affected': Areas_Affected[i], 'Damage': Damage[i], 'Death': Death[i]}})
return result
# Create and view the hurricanes dictionary
# print(hurricanes_dict(names, months, years, max_sustained_winds, areas_affected, updated_damages(damages), deaths))
# 3
# Organizing by Year
def year_dict(hurricane_dict):
result = {}
for hurricane in hurricane_dict:
try:
dict_entry = result[hurricane_dict[hurricane].get('Year')] + [hurricane_dict[hurricane]]
except KeyError:
dict_entry = [hurricane_dict[hurricane]]
result[hurricane_dict[hurricane].get('Year')] = dict_entry
return result
# create a new dictionary of hurricanes with year and key
hurricane_year_dict = hurricanes_dict(names, months, years, max_sustained_winds, areas_affected, updated_damages(damages), deaths)
# print(year_dict(hurricane_year_dict))
# 4
# Counting Damaged Areas
def damaged_area_count(hurricanes_dict):
result = {}
for hurricane in hurricanes_dict:
impacted_areas = hurricanes_dict[hurricane].get('Areas Affected')
for area in impacted_areas:
try:
result[area] = result[area] + 1
except KeyError:
result[area] = 1
return result
# create dictionary of areas to store the number of hurricanes involved in
hurricanes_dict = hurricanes_dict(names, months, years, max_sustained_winds, areas_affected, updated_damages(damages), deaths)
# print(hurricanes_dict)
damaged_areas = damaged_area_count(hurricanes_dict)
# print(damaged_area_count(hurricanes_dict))
# 5
# Calculating Maximum Hurricane Count
def max_hurricane_count(damaged_areas):
result = []
max_count = 0
for area in damaged_areas.keys():
if damaged_areas[area] > max_count:
result = [area, damaged_areas[area]]
max_count = damaged_areas[area]
return result
# find most frequently affected area and the number of hurricanes involved in
# print(max_hurricane_count(damaged_areas))
# 6
# Calculating the Deadliest Hurricane
def deadliest_hurricane(hurricanes_dict):
result = []
max_deaths = 0
for hurricane in hurricanes_dict.keys():
if hurricanes_dict[hurricane].get('Death') > max_deaths:
result = [hurricane,hurricanes_dict[hurricane].get('Death')]
max_deaths = hurricanes_dict[hurricane].get('Death')
return result
# find highest mortality hurricane and the number of deaths
# print(deadliest_hurricane(hurricanes_dict))
# 7
# Rating Hurricanes by Mortality
mortality_scale = {0: 0,
1: 100,
2: 500,
3: 1000,
4: 10000}
def hurricane_mortality_dict(hurricanes_dict, mortality_scale):
hurricane_mortality_dict = {}
for i in mortality_scale.keys():
hurricane_mortality_dict[i] = []
for hurricane in hurricanes_dict.keys():
hurricane_mortality = hurricanes_dict[hurricane].get('Death')
for key in mortality_scale.keys():
if hurricane_mortality < mortality_scale[key]:
hurricane_mortality_dict[key] = hurricane_mortality_dict[key] + [hurricane, hurricane_mortality]
break
elif key == len(mortality_scale.keys()) - 1:
try:
hurricane_mortality_dict[len(mortality_scale.keys())] = hurricane_mortality_dict[len(mortality_scale.keys())] + [hurricane, hurricane_mortality]
except KeyError:
hurricane_mortality_dict[len(mortality_scale.keys())] = [hurricane, hurricane_mortality]
return hurricane_mortality_dict
# categorize hurricanes in new dictionary with mortality severity as key
hurricane_mortality_dict(hurricanes_dict, mortality_scale)
# print(hurricane_mortality_dict(hurricanes_dict, mortality_scale))
# 8 Calculating Hurricane Maximum Damage
def costliest_hurricane(hurricanes_dict):
result = []
max_cost = 0
for hurricane in hurricanes_dict.keys():
try:
if hurricanes_dict[hurricane].get('Damage') > max_cost:
result = [hurricane, hurricanes_dict[hurricane].get('Damage')]
max_cost = hurricanes_dict[hurricane].get('Damage')
except TypeError:
continue
return result
# find highest damage inducing hurricane and its total cost
costliest_hurricane(hurricanes_dict)
# print(costliest_hurricane(hurricanes_dict))
# 9
# Rating Hurricanes by Damage
damage_scale = {0: 0,
1: 100000000,
2: 1000000000,
3: 10000000000,
4: 50000000000}
def hurricane_damage_dict(hurricanes_dict, damage_scale):
hurricane_damage_dict = {}
for i in damage_scale.keys():
hurricane_damage_dict[i] = []
for hurricane in hurricanes_dict.keys():
hurricane_damage = hurricanes_dict[hurricane].get('Damage')
if hurricane_damage == 'Damages not recorded':
try:
hurricane_damage_dict['Damages not recorded'] = hurricane_damage_dict['Damages not recorded'] + [hurricane]
except KeyError:
hurricane_damage_dict['Damages not recorded'] = [hurricane]
else:
for key in damage_scale.keys():
if hurricane_damage < damage_scale[key]:
hurricane_damage_dict[key] = hurricane_damage_dict[key] + [hurricane, hurricane_damage]
break
elif key == len(damage_scale.keys()) - 1:
try:
hurricane_damage_dict[len(damage_scale.keys())] = hurricane_damage_dict[len(damage_scale.keys())] + [hurricane, hurricane_damage]
except KeyError:
hurricane_damage_dict[len(damage_scale.keys())] = [hurricane, hurricane_damage]
return hurricane_damage_dict
# categorize hurricanes in new dictionary with damage severity as key
print(hurricane_damage_dict(hurricanes_dict, damage_scale))
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