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Created June 14, 2020 21:08
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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]
# write your update damages function here:
def update_damages(damages):
conversion = {"M": 1000000, "B": 1000000000}
updated_damages = []
for damage in damages:
if damage == "Damages not recorded":
updated_damages.append(damage)
if damage.find("M") != -1:
updated_damages.append(float(damage[0:damage.find("M")])*conversion["M"])
if damage.find("B") != -1:
updated_damages.append(float(damage[0:damage.find("B")])*conversion["B"])
return updated_damages
updated_damage = update_damages(damages)
# write your construct hurricane dictionary function here:
def dictionary_construction(names, months, years, max_sustained_wind, areas_affected, damage, death):
master = {}
for index in range(len(names)):
master[names[index]] = {"Month": months[index], "Year": years[index], "Max Sustained Wind": max_sustained_wind[index], "Areas Affected": areas_affected[index], "Damage": damage[index], "Deaths": death[index]}
return master
hurricanes = dictionary_construction(names, months, years, max_sustained_winds, areas_affected, updated_damage, deaths)
# write your construct hurricane by year dictionary function here:
def hurricanes_by_year(hurricanes):
new_dict = dict()
for hurricane in hurricanes:
current_year = hurricanes[hurricane]["Year"]
current_data = hurricanes[hurricane]
if current_year not in new_dict:
new_dict[current_year] = [current_data]
else:
new_dict[current_year].append(current_data)
return new_dict
# write your count affected areas function here:
def hurricanes_by_area(hurricanes):
new_dict = {}
for hurricane in hurricanes:
for area in hurricanes[hurricane]["Areas Affected"]:
if area not in new_dict:
new_dict[area] = 1
else:
new_dict[area] += 1
return new_dict
hurricane_per_area = hurricanes_by_area(hurricanes)
# write your find most affected area function here:
def most_affected_area(hurricane_per_area):
count = float("-inf")
location = ""
for key, value in hurricane_per_area.items():
if value > count:
count = value
location = key
print("{location} was most affected by hurricanes being hit {count} times".format(location=location, count=count))
# write your greatest number of deaths function here:
def greatest_number_of_deaths(hurricanes):
count = float("-inf")
location = ""
for hurricane in hurricanes:
if hurricanes[hurricane]["Deaths"] > count:
count = hurricanes[hurricane]["Deaths"]
location = hurricane
print("{hurricane} was the deadliest hurricane. {count} people died.".format(hurricane=location, count=count))
# write your catgeorize by mortality function here:
def mortality_catagorization(hurricanes):
new_dict = {0: [], 1: [], 2: [], 3: [], 4: [], 5:[]}
for hurricane in hurricanes:
count = hurricanes[hurricane]["Deaths"]
if count > 10000:
new_dict[5].append(hurricane)
elif count > 1000 and count <= 10000:
new_dict[4].append(hurricane)
elif count > 500 and count <= 1000:
new_dict[3].append(hurricane)
elif count > 100 and count <= 500:
new_dict[2].append(hurricane)
elif count > 0 and count <= 100:
new_dict[1].append(hurricane)
else:
new_dict[0].append(hurricane)
return new_dict
# write your greatest damage function here:
def greatest_damage(hurricanes):
count = float("-inf")
name = ""
for hurricane in hurricanes:
if hurricanes[hurricane]["Damage"] == "Damages not recorded":
continue
elif hurricanes[hurricane]["Damage"] > count:
count = hurricanes[hurricane]["Damage"]
name = hurricane
print("{name} was the most devastating hurricane. Causing ${count} in damage".format(name=name, count=count))
greatest_damage(hurricanes)
# write your catgeorize by damage function here:
def damage_catagorization(hurricanes):
new_dict = {0: [], 1: [], 2: [], 3: [], 4: [], 5:[]}
for hurricane in hurricanes:
count = hurricanes[hurricane]["Damage"]
if count == "Damages not recorded":
continue
elif count > 50000000000:
new_dict[5].append(hurricanes[hurricane])
elif count > 10000000000 and count <= 50000000000:
new_dict[4].append(hurricanes[hurricane])
elif count > 1000000000 and count <= 10000000000:
new_dict[3].append(hurricanes[hurricane])
elif count > 100000000 and count <= 1000000000:
new_dict[2].append(hurricanes[hurricane])
elif count > 0 and count <= 100000000:
new_dict[1].append(hurricanes[hurricane])
else:
new_dict[0].append(hurricanes[hurricane])
return new_dict
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