Skip to content

Instantly share code, notes, and snippets.

@codecademydev
Created Aug 15, 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]
#print(len(years))
# 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 damage_conv(damages):
conversion={'M':1000000,'B':1000000000}
updated_damages=[]
for ii in damages:
if ii !="Damages not recorded":
if ii.find("M")==-1:
ii=float(ii.replace("B",''))*conversion.get('B')
else:
ii=float(ii.replace("M",''))*conversion.get('M')
updated_damages.append(ii)
return updated_damages
#print(damage_conv(damages))
updated_damages=damage_conv(damages)
def dictionary_making(names,months, years, max_sustained_winds,areas_affected,updated_damages, deaths):
hurricanes={}
index=0
for index in range(len(names)-1):
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
jo=dictionary_making(names,months, years, max_sustained_winds,areas_affected,updated_damages, deaths)
#print( dictionary_making(names,months, years, max_sustained_winds,areas_affected,updated_damages, deaths))
def dictionary_making_year(names,months, years, max_sustained_winds,areas_affected,updated_damages, deaths):
hurricanes_years={}
index=0
for index in range(len(names)-1):
hurricanes_years[years[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_years
#print(dictionary_making_year(names,months, years, max_sustained_winds,areas_affected,updated_damages, deaths))
# 2
# Create a Table
# Create and view the hurricanes dictionary
# 3
# Organizing by Year
# create a new dictionary of hurricanes with year and key
# 4
# Counting Damaged Areas
#print(jo.get('Cuba I').get("Areas Affected")[0])
#print(list(jo.keys())[0])
def counting_areas(jo):
counter_dic={}
keys2sweep=list(jo.keys())
for jj in keys2sweep:
for nn in range(len(jo.get(jj).get("Areas Affected"))-1):
if jo.get(jj).get("Areas Affected")[nn] in counter_dic:
counter_dic[jo.get(jj).get("Areas Affected")[nn]]+=1
else:
counter_dic[jo.get(jj).get("Areas Affected")[nn]]=1
return counter_dic
#print(counting_areas(jo))
# create dictionary of areas to store the number of hurricanes involved in
# 5
# Calculating Maximum Hurricane Count
# find most frequently affected area and the number of hurricanes involved in
def most_freq(counter_dic):
all_values = counter_dic.values()
max_value = max(all_values)
return max(counter_dic, key=counter_dic.get)+": "+str(max_value)
print(most_freq(counting_areas(jo)))
# 6
# Calculating the Deadliest Hurricane
def counting_death(names,deaths):
counter_dic={}
for jj in range(len(names)-1):
counter_dic[names[jj]]=deaths[jj]
all_values = counter_dic.values()
max_value = max(all_values)
return max(counter_dic, key=counter_dic.get)+" with "+str(max_value)+' deaths.'
print(list(jo.keys()))
def counting_death2(jo):
counter_dic={}
keys2sweep=list(jo.keys())
for jj in keys2sweep:
counter_dic[jj]=jo.get(jj).get("Deaths")
all_values = counter_dic.values()
max_value = max(all_values)
return max(counter_dic, key=counter_dic.get)+" with "+str(max_value)+' deaths.'
# find highest mortality hurricane and the number of deaths
print('The hurricane with the highest number of deaths was '+ counting_death(names,deaths))
print('(2nd) The hurricane with the highest number of deaths was '+ counting_death2(jo))
# 7
# Rating Hurricanes by Mortality
def bymortality(jo):
mortality_scale = {0: 0,
1: 100,
2: 500,
3: 1000,
4: 10000}
hurricanes_by_mortality = {0:[],1:[],2:[],3:[],4:[],5:[]}
keys2sweep=list(jo.keys())
for jj in keys2sweep:
if mortality_scale.get(0)==jo.get(jj).get("Deaths"):
hurricanes_by_mortality[0].append(jo.get(jj))
if mortality_scale.get(0)<jo.get(jj).get("Deaths")<=mortality_scale.get(1):
hurricanes_by_mortality[1].append(jo.get(jj))
if mortality_scale.get(1)<jo.get(jj).get("Deaths")<=mortality_scale.get(2):
hurricanes_by_mortality[2].append(jo.get(jj))
if mortality_scale.get(2)<jo.get(jj).get("Deaths")<=mortality_scale.get(3):
hurricanes_by_mortality[3].append(jo.get(jj))
if mortality_scale.get(3)<jo.get(jj).get("Deaths")<=mortality_scale.get(4):
hurricanes_by_mortality[4].append(jo.get(jj))
return hurricanes_by_mortality
# find highest mortality hurricane and the number of deaths
print(bymortality(jo))
# 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 counting_damage(jo):
counter_damage={}
keys2sweep=list(jo.keys())
for jj in keys2sweep:
if isinstance(jo.get(jj).get("Damage") , str)==True:
counter_damage[jj]=-1
else:
counter_damage[jj]=jo.get(jj).get("Damage")
all_values =counter_damage.values()
max_value =max(all_values)
return max(counter_damage, key=counter_damage.get)+" with "+str(max_value)+" dollar damage"
# return 0+" with "+str(max_value)+' dollar damage'
# find highest mortality hurricane and the number of deaths
print(counting_damage(jo))
#print('The hurricane with the largest damage was '+ counting_damage(jo))
# 9
# Rating Hurricanes by Damage
def bydamage(jo):
damage_scale = {0: 0,
1: 100000000,
2: 1000000000,
3: 10000000000,
4: 50000000000}
hurricanes_by_damage = {0:[],1:[],2:[],3:[],4:[],5:[]}
keys2sweep=list(jo.keys())
for jj in keys2sweep:
if isinstance(jo.get(jj).get("Damage") , str)==True:
hurricanes_by_damage[0].append(jo.get(jj))
elif damage_scale.get(0)<jo.get(jj).get("Damage")<=damage_scale.get(1):
hurricanes_by_damage[1].append(jo.get(jj))
elif damage_scale.get(1)<jo.get(jj).get("Damage")<=damage_scale.get(2):
hurricanes_by_damage[2].append(jo.get(jj))
elif damage_scale.get(2)<jo.get(jj).get("Damage")<=damage_scale.get(3):
hurricanes_by_damage[3].append(jo.get(jj))
else:
hurricanes_by_damage[4].append(jo.get(jj))
return hurricanes_by_damage
# find highest mortality hurricane and the number of deaths
# categorize hurricanes in new dictionary with damage severity as key
print(bydamage(jo))
@benceahaver
Copy link

benceahaver commented Aug 15, 2021

Hurricane project from Codecademy.

Loading

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment