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:

def convert_damages_data(damages):

  conversion = {"M": 1000000, "B": 1000000000}
  updated_damages = []

  for damage in damages:
    if damage == "Damages not recorded":
      updated_damages.append(damage)
    if damage[-1] == 'M':
      updated_damages.append(float(damage.strip('M'))*conversion["M"])
    if damage[-1] == 'B':
      updated_damages.append(float(damage.strip('B'))*conversion["B"])

  return updated_damages

updated_damages = convert_damages_data(damages)
print(updated_damages)


# write your construct hurricane dictionary function here:

hurricanes = {}
def create_dictionary(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths):

  hurricanes = {}
  num_hurricanes = len(names)

  for i in range(num_hurricanes):
    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": updated_damages[i],
                          "Deaths": deaths[i]}
  return hurricanes

hurricanes = create_dictionary(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths)
print(hurricanes)


# write your construct hurricane by year dictionary function here:

years_dict= []

for n, m, y, ma, a, da,  z in zip(names, months, years, max_sustained_winds, areas_affected, updated_damages, deaths):
    dict = {y: {'Name': n, 'Month':m, 'Year': y, 'Max_sustained_wind': ma, 'Area_affected': a, 'Damage': da, 'Deaths': z}}
    years_dict.append(dict)

print(years_dict)
    

# write your count affected areas function here:

areas_count={}

for areas in areas_affected:
    for i in areas:
        if i not in areas_count:
            areas_count[i] = 1
        else:
            areas_count[i] += 1

print(areas_count)


# write your find most affected area function here:

def max_areas_affected(areas_count):

    max_area = ''
    max_count = 0

    for area in areas_count:
        if areas_count[area] > max_count:
            max_area = area
            max_count = areas_count[area]
    return max_area, max_count

max_area, max_count = max_areas_affected(areas_count)
print(max_area, max_count)


# write your greatest number of deaths function here:

def fatality(hurricanes):

    hurricane_most_deaths=''
    number_of_deaths=0

    for hurricane in hurricanes:
        if hurricanes[hurricane]['Deaths'] > number_of_deaths:
            hurricane_most_deaths = hurricane
            number_of_deaths = hurricanes[hurricane]['Deaths']
    return number_of_deaths, hurricane_most_deaths

most_deaths, number_of_deaths = fatality(hurricanes)
print(most_deaths, number_of_deaths)


# write your catgeorize by mortality function here:

def mortality(hurricanes):

    mortality_rates = {0:[], 1:[], 2:[], 3:[], 4:[]}

    for hurricane in hurricanes:

        rate = 0
        deaths = hurricanes[hurricane]['Deaths']

        if deaths < 100:
            rate = 0
        elif deaths >= 100 and deaths < 500:
            rate = 1
        elif deaths >= 500 and deaths < 1000:
            rate = 2
        elif deaths >= 1000 and deaths < 10000:
            rate = 3
        else:
            rate = 4

        if rate not in mortality_rates:
            mortality_rates[rate] = hurricanes[hurricane]
        else:
            mortality_rates[rate].append(hurricanes[hurricane])

    return mortality_rates

mortality_rates = mortality(hurricanes)
print(mortality_rates)


# write your greatest damage function here:

def max_damage(hurricanes):

    max_damage_hurricane= ''
    max_damage_number= 0

    for hurricane in hurricanes:
        if hurricanes[hurricane]['Damage'] == 'Damages not recorded':
            continue
        if hurricanes[hurricane]['Damage'] > max_damage_number:
            max_damage_hurricane = hurricanes[hurricane]['Name']
            max_damage_number = hurricanes[hurricane]['Damage']
    return max_damage_hurricane, max_damage_number

max_damage_hurricane, max_damage_number = max_damage(hurricanes)
print(max_damage_hurricane, max_damage_number)

# write your catgeorize by damage function here:

def damage_scaled(hurricanes):

    damage_scale = {0: [], 1: [], 2: [], 3: [], 4: []}

    for hurricane in hurricanes:

        rate = 0
        damage = hurricanes[hurricane]['Damage']

        if damage == 'Damages not recorded':
            continue
        elif damage < 100000000:
            rate = 0
        elif damage >= 100000000 and damage < 1000000000:
            rate = 1
        elif damage >= 1000000000 and damage < 10000000000:
            rate = 2
        elif damage >= 10000000000 and damage < 50000000000:
            rate = 3
        else:
            rate = 4

        if rate not in damage_scale:
            damage_scale[rate] = hurricanes[hurricane]
        else:
            damage_scale[rate].append(hurricanes[hurricane])

    return damage_scale

damage_scale = damage_scaled(hurricanes)
print(damage_scale)