Skip to content

Instantly share code, notes, and snippets.

@codecademydev
Created Jul 20, 2021
Embed
What would you like to do?
Codecademy export
# 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 update_damage_prices(lst):
updated_damages = []
for cost in lst:
if cost.find("M") != -1:
cost_no_m = cost[:-1]
updated_cost = float(cost_no_m)*conversion["M"]
updated_damages.append(updated_cost)
elif cost.find("B") != -1:
cost_no_m = cost[:-1]
updated_cost = float(cost_no_m)*conversion["B"]
updated_damages.append(updated_cost)
else:
updated_damages.append(cost)
return updated_damages
updated_damages = update_damage_prices(damages)
# 2
# Create a Table
# Create and view the hurricanes dictionary
def make_name_dict(names, months, years, max_winds, areas, damages, deaths):
name_list = []
mini_dict_list = []
key_list = ["Name", "Month", "Year", "Max Sustained Wind", "Areas Affected", "Damage", "Death"]
for i in range(len(names)):
value_list = [names[i], months[i], years[i], max_winds[i], areas[i], damages[i], deaths[i]]
mini_dict = {key:value for key, value in zip(key_list, value_list)}
mini_dict_list.append(mini_dict)
name_list.append(names[i])
dictionary = {key:value for key, value in zip(name_list, mini_dict_list)}
return dictionary, mini_dict_list
name_dict, mini_dict_list = make_name_dict(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths)
# 3
# Organizing by Year
# create a new dictionary of hurricanes with year and key
def make_year_dict(dicts, years):
years_list = []
for i in years:
if i not in years_list:
years_list.append(i)
year_dict = {}
for year in years_list:
for cane in dicts:
if year == cane["Year"]:
if year not in year_dict.keys():
year_dict[year] = [cane]
else:
year_dict[year].append(cane)
return year_dict
year_dict = make_year_dict(mini_dict_list, years)
# 4
# Counting Damaged Areas
# create dictionary of areas to store the number of hurricanes involved in
def get_area_count(areas):
areas_list = []
count_list = []
for lst in areas:
for place in lst:
if place not in areas_list:
areas_list.append(place)
for area in areas_list:
count = 0
for lst in areas:
for place in lst:
if place == area:
count += 1
count_list.append(count)
new_dict = {key:value for key, value in zip(areas_list, count_list)}
return new_dict
area_count_dict = get_area_count(areas_affected)
# 5
# Calculating Maximum Hurricane Count
# find most frequently affected area and the number of hurricanes involved in
def get_most_affected_area(area_count):
count = 0
for i in area_count:
if area_count[i] > count:
count = area_count[i]
for area, hit in area_count.items():
if hit == count:
return area
most_affected_area = get_most_affected_area(area_count_dict)
# 6
# Calculating the Deadliest Hurricane
# find highest mortality hurricane and the number of deaths
def get_most_deaths(cane_dict):
count = 0
for i in cane_dict:
if cane_dict[i]["Death"] > count:
count = cane_dict[i]["Death"]
for i in cane_dict:
if cane_dict[i]["Death"] == count:
return cane_dict[i]["Name"], count
most_deaths = get_most_deaths(name_dict)
# 7
# Rating Hurricanes by Mortality
def get_mortality_rating(cane_dict):
mortality_dict = {0: [], 1: [], 2: [], 3: [], 4: []}
for i in cane_dict:
if cane_dict[i]["Death"] <= 100:
mortality_dict[0].append(cane_dict[i])
elif cane_dict[i]["Death"] <= 500:
mortality_dict[1].append(cane_dict[i])
elif cane_dict[i]["Death"] <= 1000:
mortality_dict[2].append(cane_dict[i])
elif cane_dict[i]["Death"] <= 10000:
mortality_dict[3].append(cane_dict[i])
else:
mortality_dict[4].append(cane_dict[i])
return mortality_dict
mort_ratings = get_mortality_rating(name_dict)
# categorize hurricanes in new dictionary with mortality severity as key
# 8 Calculating Hurricane Maximum Damage
# find highest damage inducing hurricane and its total cost
def get_most_damage(cane_dict):
count = 0
for i in cane_dict:
if cane_dict[i]["Damage"] != "Damages not recorded":
if int(cane_dict[i]["Damage"]) > count:
count = cane_dict[i]["Damage"]
for i in cane_dict:
if cane_dict[i]["Damage"] == count:
return cane_dict[i]["Name"], count
most_damaging_cane = get_most_damage(name_dict)
#print("The most financially damaging was hurricane {}, with ${}.".format(most_damaging_cane[0], most_damaging_cane[1]))
# 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 get_damage_rating(cane_dict):
damage_dict = {0: [], 1: [], 2: [], 3: [], 4: [], 5: []}
for i in cane_dict:
if cane_dict[i]["Damage"] != "Damages not recorded":
if cane_dict[i]["Damage"] <= damage_scale[1]:
damage_dict[0].append(cane_dict[i])
elif cane_dict[i]["Damage"] <= damage_scale[2]:
damage_dict[1].append(cane_dict[i])
elif cane_dict[i]["Damage"] <= damage_scale[3]:
damage_dict[2].append(cane_dict[i])
elif cane_dict[i]["Damage"] <= damage_scale[4]:
damage_dict[3].append(cane_dict[i])
else:
damage_dict[4].append(cane_dict[i])
return damage_dict
damage_ratings = get_damage_rating(name_dict)
print(damage_ratings)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment