-
-
Save codecademydev/c0a47476041c4468d7faaa1ce0d05339 to your computer and use it in GitHub Desktop.
Codecademy export
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# 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_damage(damage_list): | |
new_damage = [] | |
for item in damage_list: | |
if item == 'Damages not recorded': | |
new_damage.append(item) | |
elif 'M' in item: | |
replace_item = item.replace('M', '' ) | |
new_damage.append(float(replace_item) * 1000000) | |
elif 'B' in item: | |
replace_item = item.replace('B', '' ) | |
new_damage.append(float(replace_item) * 1000000000) | |
return new_damage | |
updated_damages = update_damage(damages) | |
# write your construct hurricane dictionary function here: | |
def hurricane_dictionary(names, months, years, max_sustained_winds, areas_affected, damages, deaths): | |
hurricanes = {} | |
for index in range(len(names)): | |
hurricanes[names[index]] = {"Name": names[index], | |
"Month": months[index], | |
"Year": years[index], | |
"Max Sustained Wind": max_sustained_winds[index], | |
"Areas Affected": areas_affected[index], | |
"Damage": updated_damages[index], | |
"Deaths": deaths[index]} | |
return hurricanes | |
hurricanes = hurricane_dictionary(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths) | |
# To test point 3, print the function below: | |
#print(hurricane_dictionary(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths)) | |
# write your construct hurricane by year dictionary function here: | |
def hurricane_by_year(hurricane_dict): | |
hurricane_by_year = {} | |
for value in hurricane_dict.values(): | |
current_year = 0 | |
current_cane = [] | |
current_year += value['Year'] | |
current_cane.append(value) | |
key = hurricane_by_year.get(current_year) | |
if key == None: | |
hurricane_by_year[current_year] = current_cane | |
else: | |
hurricane_by_year[current_year].append(current_cane) | |
return hurricane_by_year | |
#print(hurricane_by_year(hurricanes)) | |
# write your count affected areas function here: | |
def count_affected_areas(areas_affected): | |
unique_areas = [] | |
ammount_of_areas = [] | |
areas_only_list = [] | |
areas_dict = {} | |
for areas in areas_affected: | |
for area in areas: | |
areas_only_list.append(area) | |
for item in areas_affected: | |
for i in item: | |
if i not in unique_areas: | |
unique_areas.append(i) | |
#total = areas_only_list.count(i) | |
ammount_of_areas.append(areas_only_list.count(i)) | |
for index in range(len(unique_areas)): | |
areas_dict[unique_areas[index]] = ammount_of_areas[index] | |
return areas_dict | |
#print(count_affected_areas(areas_affected)) | |
# write your find most affected area function here: | |
def most_affected_area(areas_affected): | |
max_area = '' | |
max_area_count = 0 | |
for key,value in areas_affected.items(): | |
if value > max_area_count: | |
max_area = key | |
max_area_count = value | |
return max_area + ' is the area most affected by ' + str(max_area_count) + ' different hurricanes' | |
#print(most_affected_area(count_affected_areas(areas_affected))) | |
# write your greatest number of deaths function here: | |
def greatest_number_of_deaths(hurricanes_dict): | |
hurricane = '' | |
death_count = 0 | |
for key,value in hurricanes_dict.items(): | |
if value['Deaths'] > death_count: | |
death_count = value['Deaths'] | |
hurricane = key | |
return 'The hurricane with greatest ammount of deaths is: ' + hurricane + ', with ' + str(death_count) + ' deaths' | |
#print(greatest_number_of_deaths(hurricanes)) | |
# write your catgeorize by mortality function here: | |
def mortality_scale(hurricanes_dict): | |
new_dict = {} | |
list_0 = [] | |
list_1 = [] | |
list_2 = [] | |
list_3 = [] | |
list_4 = [] | |
list_5 = [] | |
for value in hurricanes_dict.values(): | |
if value['Deaths'] == 0: | |
list_0.append(value) | |
elif value['Deaths'] > 0 and value['Deaths'] <= 100: | |
list_1.append(value) | |
elif value['Deaths'] > 101 and value['Deaths'] <= 500: | |
list_2.append(value) | |
elif value['Deaths'] > 501 and value['Deaths'] <= 1000: | |
list_3.append(value) | |
elif value['Deaths'] > 1001 and value['Deaths'] <= 10000: | |
list_4.append(value) | |
else: | |
list_5.append(value) | |
full_list = [list_0, list_1, list_2, list_3, list_4, list_5] | |
for index in range(5): | |
new_dict[index] = full_list[index] | |
return new_dict | |
#print(mortality_scale(hurricanes)) | |
# write your greatest damage function here: | |
def greatest_damage(hurricane_dict): | |
hurricane = '' | |
max_damage = 0 | |
for key, value in hurricane_dict.items(): | |
test = value.get('Damage') | |
if test != 'Damages not recorded': | |
if value['Damage'] > max_damage: | |
max_damage = value['Damage'] | |
hurricane = key | |
return hurricane + ' is the hurricane that caused the greatest damage, with: ' + str(max_damage) + ' Dollars in damages' | |
#print(greatest_damage(hurricanes)) | |
#write your catgeorize by damage function here: | |
def damage_category(hurricane_dict): | |
new_dict = {} | |
list_0 = [] | |
list_1 = [] | |
list_2 = [] | |
list_3 = [] | |
list_4 = [] | |
list_5 = [] | |
for key, value in hurricane_dict.items(): | |
test = value.get('Damage') | |
if test != 'Damages not recorded': | |
if value['Damage'] == 0: | |
list_0.append(value) | |
elif value['Damage'] > 0 and value['Damage'] <= 100000000: | |
list_1.append(value) | |
elif value['Damage'] > 100000000 and value['Damage'] <= 1000000000: | |
list_2.append(value) | |
elif value['Damage'] > 1000000000 and value['Damage'] <= 10000000000: | |
list_3.append(value) | |
elif value['Damage'] > 10000000000 and value['Damage'] <= 50000000000: | |
list_4.append(value) | |
else: | |
list_5.append(value) | |
list_of_categories = [list_0, list_1, list_2, list_3, list_4, list_5] | |
for index in range(6): | |
new_dict[index] = list_of_categories[index] | |
return new_dict | |
print(damage_category(hurricanes)) | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment