Codecademy export

script.py

import numpy as np
# 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']

# array lenght
lgt = np.arange(len(names))

# 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 update_damages(list):
  upd_list = []
  for element in list:
    if element[-1] == 'M':
      element = element[:-1]+str('e6')
    elif element[-1] =='B':
      element = element[:-1] + str('e9')
    else: 
      element = 'Damages not Recorded'
    upd_list.append(element)
  return upd_list
upd_damages = update_damages(damages)


# write your construct hurricane dictionary function here:
def hurricane_dict(list):
  dict = {}
  for element in lgt:
    dict2 = { str(names[element]):{
      "Name":names[element],
      "Month":months[element],
      "Year":years[element],
      "Max Sustained Wind":max_sustained_winds[element],
      "Area Affected":areas_affected[element],
      "Damage":upd_damages[element],
      "Death":deaths[element] }
    }
    dict.update(dict2)
  return dict
hu = hurricane_dict(lgt)

# write your construct hurricane by year dictionary function here:
def hurricane_year(dict):
  new_dict ={}
  for element in dict:
    current_year = dict[element]['Year']
    current_cane = dict[element]
    if current_year in new_dict:
      new_dict[current_year].append(current_cane)
    else:
      new_dict[current_year] = [current_cane]
  return new_dict


# write your count affected areas function here:
#print(hurricane_dict(lgt))
def count_affected_areas(dict):
  new_dict = {}
  for hurricane in dict:
    for area in dict[hurricane]['Area Affected']:
      if area in new_dict:
        count = count + 1
        new_dict[area] = count
      else: 
        count = 1
        new_dict[area] = count
  return new_dict
        

# write your find most affected area function here:
def most_affected_area(dict):
  new_dict ={}
  return_dict = {}
  count_dict = count_affected_areas(dict)
  sorted_values = sorted(count_dict.values())
  max_occurance = sorted_values[-1]
  for area in count_dict:
    if count_dict[area] == max_occurance:
      new_dict = {area:count_dict[area]}
      return_dict.update(new_dict)
    else: None
  return return_dict
    

# print(hu)
# write your greatest number of deaths function here:
def number_deaths(dict):
  inter_dict = {}
  return_dict = {}
  for hurricane in dict:
    hur_dict = {hurricane : dict[hurricane]['Death']}
    inter_dict.update(hur_dict)
  print(inter_dict)
  sorted_values = sorted(inter_dict.values())
  print(sorted_values)
  max_death = sorted_values[-1]
  for hurricane in inter_dict:
    if inter_dict[hurricane] == max_death:
      almost_return_dict = {hurricane : inter_dict[hurricane]}
      return_dict.update(almost_return_dict)
  return return_dict



# write your catgeorize by mortality function here:
def mortality_scale(dict):
  new_dict = {}
  return_dict = {}
  mortality_scale_dict = {0: 0,
                   1: 100,
                   2: 500,
                   3: 1000,
                   4: 10000}
  for hurricane in dict:
    current_cane = dict[hurricane]
    for element in mortality_scale_dict:
      if dict[hurricane]['Death'] <= mortality_scale_dict[element]:
        if element in new_dict:
          new_dict[element].append(dict[hurricane])
          break
        else: 
          new_dict[element]= [dict[hurricane]]
          break
      else: None
    return_dict.update(new_dict)
  return return_dict

# write your greatest damage function here:
def greatest_damage(dict):
  new_dict = {}
  max_damage_cane = 'Cuba I'
  max_damage = 0
  for hurricane in dict:
    if dict[hurricane]['Damage'] == 'Damages not Recorded':
      None
    else:
      integer = int(float(dict[hurricane]['Damage']))
      if integer > max_damage:
        max_damage = int(float(dict[hurricane]['Damage']))
        max_damage_cane = dict[hurricane]["Name"]
      else: None
  new_dict = {max_damage_cane : max_damage}
  return new_dict
  

# write your catgeorize by damage function here:
def damage_scale(dict):
  new_dict = {}
  return_dict = {}
  damage_scale_dict = {0: 0,
                1: 100000000,
                2: 1000000000,
                3: 10000000000,
                4: 50000000000}
  for hurricane in dict:
    if dict[hurricane]['Damage'] == 'Damages not Recorded':
      dict[hurricane]['Damage'] = 0
    else:
      dict[hurricane]['Damage'] = int(float(dict[hurricane]['Damage']))
    for element in damage_scale_dict:
      if dict[hurricane]['Damage'] > damage_scale_dict[element]:
        if element in new_dict:
          new_dict[element].append(dict[hurricane])
          break
        else: 
          new_dict[element]= [dict[hurricane]]
          break
      else: None
    return_dict.update(new_dict)
  return return_dict