Codecademy export

script.py

# 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}
def convertDamage(d):
  newD = []
  for damage in d:
    if damage[-1] == "M":
      newD.append(float(damage[0:-1]) * conversion["M"])
    elif damage[-1] == "B":
      newD.append(float(damage[0:-1]) * conversion["B"])
    elif damage == 'Damages not recorded':
      newD.append('Damages not recorded')
  return newD


# test function by updating damages
damages = convertDamage(damages)
#print(damages)

# 2 
# Create a Table
def tableMaker():
  keyList = ["Name","Month","Year","Max Sustained Wind","Areas affected","Damage","Deaths"]
  hurricanes = {}
  for n in names:
    hurricanes[n] = {}
  index = 0
  for d in hurricanes:
    hurricanes[d][keyList[0]] = names[index]
    hurricanes[d][keyList[1]] = months[index]
    hurricanes[d][keyList[2]] = years[index]
    hurricanes[d][keyList[3]] = max_sustained_winds[index]
    hurricanes[d][keyList[4]] = areas_affected[index]
    hurricanes[d][keyList[5]] = damages[index]
    hurricanes[d][keyList[6]] = deaths[index]
    index += 1
  return hurricanes
# Create and view the hurricanes dictionary
hurricanes = tableMaker()
print(hurricanes)



# 3
# Organizing by Year

# create a new dictionary of hurricanes with year and key
def viewByCategory(category, myDict):
  newDict = {}
  for d in myDict:
    #print("myDict[d][category] value is...", myDict[d][category])
    categoryValue = myDict[d][category]
    #print("category value is...", category)
    newDict[categoryValue] = myDict[d]
  return newDict

hurricanesByYear = viewByCategory("Year",hurricanes)
#print(hurricanesByYear)
# 4
# Counting Damaged Areas

# create dictionary of areas to store the number of hurricanes involved in
def countAffectedAreas(h):
  countDict = {}
  for key in h:
    for listItem in h[key]["Areas affected"]:
      if listItem in list(countDict.keys()):
        countDict[listItem] += 1
      else:
        countDict[listItem] = 1
  return countDict

countedAreas = countAffectedAreas(hurricanes)
#print(countedAreas)

# 5 
# Calculating Maximum Hurricane Count

# find most frequently affected area and the number of hurricanes involved in
def findWorstPlace(countDict):
  keyList = list(countDict.keys())
  thisKey = keyList[1]
  for key in countDict:
    if countDict[key] >= countDict[thisKey]:
      thisKey = key
  return {thisKey:countDict[thisKey]}
worstPlace = findWorstPlace(countedAreas)
#for key in worstPlace:
  #print(f"The worst place to live for hurricane safety is {key} being hit {worstPlace[key]} times.")
  
    

# 6
# Calculating the Deadliest Hurricane
# find highest mortality hurricane and the number of deaths


def findWorstHurricane(h):
  keyList = list(h.keys())
  thisKey = keyList[1]
  for key in h:
      if h[key]['Deaths'] > h[thisKey]['Deaths']:
        thisKey = key
  return {thisKey:h[thisKey]['Deaths']}

worstHurricane = findWorstHurricane(hurricanes)
for key in worstHurricane:
  print(f"The worst hurricane was {key}, causing {worstHurricane[key]} deaths.")

# 7
# Rating Hurricanes by Mortality
mortality_scale = {0: 0,
                   1: 100,
                   2: 500,
                   3: 1000,
                   4: 10000}
def getMortalityRating(m,h):
  c = {0:[],1:[],2:[],3:[],4:[]}
  for key in h:
    if h[key]['Deaths'] > m[0] and h[key]['Deaths'] < m[1]:
      c[0].append(h[key]['Deaths'])
    if h[key]['Deaths'] > m[1] and h[key]['Deaths'] < m[2]:
      c[1].append(h[key]['Deaths'])
    if h[key]['Deaths'] > m[2] and h[key]['Deaths'] < m[3]:
      c[2].append(h[key]['Deaths'])
    if h[key]['Deaths'] > m[3] and h[key]['Deaths'] < m[4]:
      c[3].append(h[key]['Deaths'])
    if h[key]['Deaths'] > m[4]:
        c[4].append(h[key]['Deaths'])
  return c

mortalityRatings = getMortalityRating(mortality_scale,hurricanes)
print(mortalityRatings)
# 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 findWorstDamage(h):
  thisKey = 'Michael'
  for key in h:
    if type(h[key]['Damage']) != str:
      if h[key]['Damage'] > h[thisKey]['Damage']:
        thisKey = key
  return f"The worst hurricane in terms of damage was {h[thisKey]['Name']}, causing {h[thisKey]['Damage']} dollars worth of damage."

worstDamage = findWorstDamage(hurricanes)
print(worstDamage)
# 9
# Rating Hurricanes by Damage

  
# categorize hurricanes in new dictionary with damage severity as key
damage_scale = {0: 0,
                1: 100000000,
                2: 1000000000,
                3: 10000000000,
                4: 50000000000}
def getDamageRating(m,h):
  c = {0:[],1:[],2:[],3:[],4:[]}
  for key in h:
    if type(h[key]['Damage']) != str:
      if h[key]['Damage'] > m[0] and h[key]['Damage'] < m[1]:
        c[0].append(h[key]['Damage'])
      if h[key]['Damage'] > m[1] and h[key]['Damage'] < m[2]:
        c[1].append(h[key]['Damage'])
      if h[key]['Damage'] > m[2] and h[key]['Damage'] < m[3]:
        c[2].append(h[key]['Damage'])
      if h[key]['Damage'] > m[3] and h[key]['Damage'] < m[4]:
        c[3].append(h[key]['Damage'])
      if h[key]['Damage'] > m[4]:
        c[4].append(h[key]['Damage'])
  return c

damageRatings = getDamageRating(damage_scale,hurricanes)
print(damageRatings)