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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]

# write your update damages function here:
damages_new = []
def damage_function(dmglist):
  for i in dmglist:
    if i == "Damages not recorded":
      damages_new.append(i)
    else:
      if i.find("M"):
        x = float(i.strip(i[-1]))
        damages_new.append(x*1000000)
      if i.find("B"):
        y = float(i.strip(i[-1]))
        damages_new.append(y*1000000000)
  return damages_new    

#CALL THE FUNCTION AND SAVE IT FOR FUTURE USE 
damages_new = damage_function(damages)
#print(damages_new)

# write your construct hurricane dictionary function here:
hurricanes = {}
def hurricane_dictionary(names,months,years,max_sustained_winds,areas_affected, damages_new, deaths):
  for i in range(len(names)):
    hurricanes[names[i]] = {"Name": names[i], "Month": months[i], "Year": years[i], "Max Sustained Wind": max_sustained_winds[i], "Areas Affected" : areas_affected[i], "Damage": damages_new[i], "Deaths": deaths[i]}
  return hurricanes

#CALL THE FUNCTION AND SAVE IT FOR FUTURE USE 
hurricanes = hurricane_dictionary(names,months,years,max_sustained_winds, areas_affected, damages_new, deaths)
#print(hurricanes)


# write your construct hurricane by year dictionary function here:

def hurricanes_by_year():
  year_dict = {}
  for year in years:
    year_dict[year] = [hurricane for hurricane in hurricanes.values() if hurricane["Year"]==year]
  return year_dict

#CALL THE FUNCTION AND SAVE IT FOR FUTURE USE 
year_dict = hurricanes_by_year()
#print(year_dict)

# write your count affected areas function here:
def often_affected_areas():
  areas_affected_dict = {}
  for affected_areas in areas_affected:
    for i in affected_areas:
      if i not in areas_affected_dict:
        areas_affected_dict[i] = 0
      if i in areas_affected_dict:
        areas_affected_dict[i] += 1
  return areas_affected_dict

#CALL THE FUNCTION AND SAVE IT FOR FUTURE USE 
areas_affected_dict = often_affected_areas()
#print(areas_affected_dict)


# write your find most affected area function here:
def most_affected_area(areas_affected_dict):
  area = "a"
  how_many_times = 0
  for x,y in areas_affected_dict.items():
    if y > how_many_times:
      area = x
      how_many_times = y
  return {area: how_many_times}

#CALL THE FUNCTION AND SAVE IT FOR FUTURE USE 
most_affected_area = most_affected_area(areas_affected_dict)
#print(most_affected_area)


# write your greatest number of deaths function here:
def most_deadly(hurricanes):
  deadliest_hurricane = "a"
  deadliest_hurricane_deaths = 0
  for x,y in hurricanes.items():
    if y["Deaths"] > deadliest_hurricane_deaths:
      deadliest_hurricane_deaths = y["Deaths"]
      deadliest_hurricane = x
  return {deadliest_hurricane: deadliest_hurricane_deaths}

most_deadly_hurricane = most_deadly(hurricanes)
#print(most_deadly_hurricane)


# write your catgeorize by mortality function here:
def mortality(hurricanes):
  mortality_dict = {}
  mortality_dict[0] = [hurricane for hurricane in hurricanes.values() if hurricane["Deaths"] == 0 ]
  mortality_dict[1] = [hurricane for hurricane in hurricanes.values() if 0 < hurricane["Deaths"] <= 100]
  mortality_dict[2] = [hurricane for hurricane in hurricanes.values() if 100 < hurricane["Deaths"] <= 500]
  mortality_dict[3] = [hurricane for hurricane in hurricanes.values() if 500 < hurricane["Deaths"] <= 1000]
  mortality_dict[4] = [hurricane for hurricane in hurricanes.values() if 1000 < hurricane["Deaths"] <= 10000]
  mortality_dict[5] = [hurricane for hurricane in hurricanes.values() if hurricane["Deaths"] > 10000]
  return mortality_dict

#CALL THE FUNCTION AND SAVE IT FOR FUTURE USE 
mortality_rating = mortality(hurricanes)
#print(mortality_rating)
  

# write your greatest damage function here:
def damage_cost_function(hurricanes):
  cost = 0
  hurricane_great_damage = 0
  for x,y in hurricanes.items():
    if y["Damage"] == "Damages not recorded":
      continue
    else:
      if y["Damage"] > cost:
        hurricane_great_damage = x
        cost = y["Damage"]
  return {hurricane_great_damage: cost}

damage_cost = damage_cost_function(hurricanes)
#print(damage_cost)


# write your catgeorize by damage function here:
def damage_rate(hurricanes):
  damage_dict = {0: [], 1: [], 2: [], 3: [], 4: [], 5: []}
  for x,y in hurricanes.items():
    if y["Damage"] == "Damages not recorded":
      continue
    else:
      if y["Damage"] == 0:
        damage_dict[0].append(x)
      if 0 < y["Damage"] <= 100000000:
        damage_dict[1].append(x)
      if 100000000 < y["Damage"] <= 1000000000:
        damage_dict[2].append(x)
      if 1000000000 < y["Damage"] <= 10000000000:
        damage_dict[3].append(x)
      if 10000000000 < y["Damage"] <= 50000000000:
        damage_dict[4].append(x)
      if 50000000000 < y["Damage"]:
        damage_dict[5].append(x)
  return damage_dict

#CALL THE FUNCTION AND SAVE IT FOR FUTURE USE 
damage_rating = damage_rate(hurricanes)
#print(damage_rating)