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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 | |
def dmg(x): | |
new = [] | |
for value in x: | |
if value.endswith('M'): | |
M = value[:-1] | |
new.append(float(M)*conversion['M']) | |
elif value.endswith('B'): | |
B = value[:-1] | |
new.append(float(B)*conversion['B']) | |
else: | |
new.append(value) | |
return new | |
new = dmg(damages) | |
#print(dmg(damages)) | |
# 2 | |
# Create a Table | |
hurricaines = {} | |
def names_dictionary(names, months, years, max_sustained_winds, areas_affected, deaths): | |
for i in range(len(names)): | |
hurricaines[names[i]]={'Name':names[i], | |
'Months':months[i], | |
'Years':years[i], | |
'Max Winds':max_sustained_winds[i], | |
'Areas Affected':areas_affected[i], | |
'Damage':new[i], | |
'Deaths':deaths[i]} | |
return hurricaines | |
# Create and view the hurricanes dictionary | |
hurricaines = names_dictionary(names, months, years, max_sustained_winds, areas_affected, deaths) | |
#print dictionary by name | |
#print(hurricaines) | |
# 3 | |
# Organizing by Year | |
def year_dictionary(hurricaines): | |
year_sort = {} | |
for name in hurricaines: | |
year = hurricaines[name]['Years'] | |
names = hurricaines[name] | |
if year not in year_sort: | |
year_sort[year] = [names] | |
else: | |
year_sort[year].append(names) | |
return year_sort | |
year_sort = year_dictionary(hurricaines) | |
# create a new dictionary of hurricanes with year and key | |
#print(year_sort) | |
# 4 | |
# Counting Damaged Areas | |
def affected_areas(hurricaines): | |
areas = {} | |
for name in hurricaines: | |
for area in hurricaines[name]['Areas Affected']: | |
if area not in areas: | |
areas[area] = 1 | |
else: | |
areas[area] += 1 | |
return areas | |
areas = affected_areas(hurricaines) | |
# create dictionary of areas to store the number of hurricanes involved in | |
#print(areas) | |
# 5 | |
# Calculating Maximum Hurricane Count | |
# find most frequently affected area and the number of hurricanes involved in | |
def max_hit(areas): | |
max_area = 'Central America' | |
max_count = 0 | |
for area in areas: | |
if max_count < areas[area]: | |
max_count = areas[area] | |
max_area = area | |
return max_area, max_count | |
max_area, max_count = max_hit(areas) | |
#print(max_area, max_count) | |
# 6 | |
# Calculating the Deadliest Hurricane | |
def mortality(hurricaines): | |
max_deaths = 'Cuba I' | |
max_count = 0 | |
for area in hurricaines: | |
if hurricaines[area]['Deaths'] > max_count: | |
max_deaths = area | |
max_count = hurricaines[area]['Deaths'] | |
return max_deaths, max_count | |
max_deaths, max_count = mortality(hurricaines) | |
# find highest mortality hurricane and the number of deaths | |
#print(max_deaths, max_count) | |
# 7 | |
# Rating Hurricanes by Mortality | |
def cat_by_mortality(hurricaines): | |
mortality_scale = {0: 0, | |
1: 100, | |
2: 500, | |
3: 1000, | |
4: 10000} | |
hurricanes_by_mortality ={0:[], 1:[], 2:[], 3:[], 4:[], 5:[]} | |
for cane in hurricaines: | |
num_deaths = hurricaines[cane]['Deaths'] | |
if num_deaths == mortality_scale[0]: | |
hurricanes_by_mortality[0].append(hurricaines[cane]) | |
elif num_deaths > mortality_scale[0] and num_deaths <= mortality_scale[1]: | |
hurricanes_by_mortality[1].append(hurricaines[cane]) | |
elif num_deaths > mortality_scale[1] and num_deaths <= mortality_scale[2]: | |
hurricanes_by_mortality[2].append(hurricaines[cane]) | |
elif num_deaths > mortality_scale[2] and num_deaths <= mortality_scale[3]: | |
hurricanes_by_mortality[3].append(hurricaines[cane]) | |
elif num_deaths > mortality_scale[3] and num_deaths <= mortality_scale[4]: | |
hurricanes_by_mortality[4].append(hurricaines[cane]) | |
elif num_deaths > mortality_scale[4]: | |
hurricanes_by_mortality[5].append(hurricaines[cane]) | |
return hurricanes_by_mortality | |
hurricanes_by_mortality = cat_by_mortality(hurricaines) | |
#print(hurricanes_by_mortality) | |
# write your greatest damage function here: | |
def greatest_damage(hurricanes): | |
max_damage_cane = 'Cuba I' | |
max_damage = 0 | |
for cane in hurricanes: | |
if hurricanes[cane]['Damage'] == "Damages not recorded": | |
pass | |
elif hurricanes[cane]['Damage'] > max_damage: | |
max_damage_cane = cane | |
max_damage = hurricanes[cane]['Damage'] | |
return max_damage_cane, max_damage | |
max_damage_cane, max_damage = greatest_damage(hurricaines) | |
#print(max_damage_cane, max_damage) | |
# write your catgeorize by damage function here: | |
def categorise_by_damage(dict): | |
damage_scale = {0: 0, | |
1: 100000000, | |
2: 1000000000, | |
3: 10000000000, | |
4: 50000000000} | |
damage_scale_hurricane = {'No Damage': [], 1: [], 2: [], 3: [], 4: [], 5: []} | |
for name in dict: | |
if dict[name]['Damage'] == 'Damages not recorded': | |
damage_scale_hurricane['No Damage'].append(name) | |
elif damage_scale[0] < dict[name]['Damage'] <= damage_scale[1]: | |
damage_scale_hurricane[1].append(name) | |
elif damage_scale[1] < dict[name]['Damage'] <= damage_scale[2]: | |
damage_scale_hurricane[2].append(name) | |
elif damage_scale[2] < dict[name]['Damage'] <= damage_scale[3]: | |
damage_scale_hurricane[3].append(name) | |
elif damage_scale[3] < dict[name]['Damage'] <= damage_scale[4]: | |
damage_scale_hurricane[4].append(name) | |
else: | |
damage_scale_hurricane[5].append(name) | |
return damage_scale_hurricane | |
print(categorise_by_damage(hurricaines)) |
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