Codecademy Hurricane Analysis Project

Python PT 1-31-21

# 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', 'Mexico', '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'], ['Mexico', '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_damages(expense_list):
  new_damages = []
  for i in expense_list:
    if i[-1] == "M":
      new_damages.append(float(i.replace("M",""))*1000000)
    elif i[-1] == "B":
      new_damages.append(float(i.replace("B",""))*1000000000)
    else:
      new_damages.append(i)
  return new_damages

# write your construct hurricane dictionary function here:

def construct_hurricane_dictionary(name, month, year, wind, area, death):
  hurricane_dictionary = {}
  for i in range(len(name)):
    hurricane_dictionary.update({name[i]: {"Name": name[i], "Month": month[i], "Year": year[i], "Wind": wind[i], "Areas Affected": area[i], "Damages": damages[i], "Deaths": death[i]}})
  return hurricane_dictionary

hurricane_dictionary = construct_hurricane_dictionary(names, months, years, max_sustained_winds, areas_affected, deaths)
#print(hurricane_dictionary["Cuba I"]["Year"])
# write your construct hurricane by year dictionary function here:
#print(hurricane_dictionary)

def construct_hurricane_by_year(hurr_dict):
  hurricanes_by_year = {}
  for n in hurr_dict:
    new_yr = hurr_dict[n]["Year"]
    curr_dict = [{"Name": hurr_dict[n]["Name"], "Month": hurr_dict[n]["Month"], "Max Sustained Wind": hurr_dict[n]["Wind"], "Areas Affected": hurr_dict[n]["Areas Affected"], "Damages": hurr_dict[n]["Damages"], "Deaths": hurr_dict[n]["Deaths"]}]
    if new_yr not in hurricanes_by_year:
      hurricanes_by_year.update({new_yr: curr_dict})
    else:
     hurricanes_by_year[new_yr].append(curr_dict)
  return hurricanes_by_year

hurr_by_yr = construct_hurricane_by_year(hurricane_dictionary)

#print(hurr_by_yr)

# write your count affected areas function here:
def count_affected_areas(hurricane_list):
  area_count = {}
  for name in hurricane_list:
    areas = hurricane_list[name]["Areas Affected"]
    for a in areas:
      #print(a)
      if a in area_count:
        area_count[a] += 1
      else:
        area_count[a] = 1
  return area_count

affected_area_counts = count_affected_areas(hurricane_dictionary)

#print(affected_area_counts)

# write your find most affected area function here:
def most_affected_areas(area_counts):
  max_num = 0
  max_area = ""
  for a in area_counts:
    temp = area_counts[a]
    if temp >= max_num:
      max_num = temp
  for a in area_counts:
    if area_counts[a] == max_num:
      if len(max_area) > 0:
        max_area = max_area + " and " + a
        verb = " have "
      else:
        max_area = a
        verb = " has "
  return max_area + verb + "been affected by hurricanes " + str(max_num) + " times."

#print(most_affected_areas(affected_area_counts))

# write your greatest number of deaths function here:
def most_deaths(hurr_list):
  max_num = 0
  cane_name = ""
  for d in hurr_list:
    temp = hurr_list[d]["Deaths"]
    if temp >= max_num:
      max_num = temp
  for d in hurr_list:
    if hurr_list[d]["Deaths"] == max_num:
      if len(cane_name) == 0:
        cane_name = hurr_list[d]["Name"]
        plural = " "
      else:
        cane_name = cane_name + " and " + hurr_list[d]["Name"]
        plural = "s "
  return "Hurricane" + plural + cane_name + " caused the most deaths, at " + str(max_num) + "."

#print(most_deaths(hurricane_dictionary))

# write your catgeorize by mortality function here:

def create_mortality_scale(hurr_dict):
  mortality_scale = {"1": [], "2": [], "3": [], "4": [], "5": []}
  for cane in hurr_dict:
    if hurr_dict[cane]["Deaths"] >= 10000:
      mortality_scale["5"].append(cane)
    elif hurr_dict[cane]["Deaths"] >= 1000:
      mortality_scale["4"].append(cane)
    elif hurr_dict[cane]["Deaths"] >= 500:
      mortality_scale["3"].append(cane)
    elif hurr_dict[cane]["Deaths"] >= 100:
      mortality_scale["2"].append(cane)
    elif hurr_dict[cane]["Deaths"] > 0:
      mortality_scale["1"].append(cane)
  return mortality_scale

mort_scale = create_mortality_scale(hurricane_dictionary)

#print(mort_scale)


# write your greatest damage function here:
def greatest_damage(hurr_dict):
  name = []
  damage = []
  max_cost = 0
  result = ""
  for cane in hurr_dict:
    name.append(cane)
    damage.append(hurr_dict[cane]["Damages"])
  new_damage = update_damages(damage)
  for i in range(len(new_damage)):
    if (new_damage[i] != "Damages not recorded" and new_damage[i] >= max_cost):
      max_cost = new_damage[i]
      cost_str = damage[i]
  for i in range(len(new_damage)):
    if new_damage[i] == max_cost:
      if len(result) == 0:
        result = name[i]
      else:
        result = result + " and " + name[i]
  return result + " caused the most damage, costing " + cost_str + "."


# write your catgeorize by damage function here:

print(greatest_damage(hurricane_dictionary))

def create_damage_scale(hurr_dict):
  damage_scale = {"1": [], "2": [], "3": [], "4": [], "5": []}
  damages = []
  names = []
  for cane in hurr_dict:
    if hurr_dict[cane]["Damages"] == "Damages not recorded":
      damages.append("0M")
    else:
      damages.append(hurr_dict[cane]["Damages"])
    names.append(cane)
  new_damages = update_damages(damages)
  for i in range(len(new_damages)):
    if new_damages[i] >= 50000000000.0:
      damage_scale["5"].append(names[i])
    elif new_damages[i] >= 10000000000:
      damage_scale["4"].append(names[i])
    elif new_damages[i] >= 1000000000:
      damage_scale["3"].append(names[i])
    elif new_damages[i] >= 100000000:
      damage_scale["2"].append(names[i])
    elif new_damages[i] > 0:
      damage_scale["1"].append(names[i])
  return damage_scale

create = create_damage_scale(hurricane_dictionary)

print(create)

print(len(hurricane_dictionary))