TypeError with Jupyter Notebook for Python Data Science Hurricane Analysis

Hi everybody,
Very new to python here and I’m working on codeacademy projects to help me understand the ins-and-outs of python.

I’m getting this typeerror when I try to complete the Hurricane Analysis project for Python’s data analysis track:

TypeError Traceback (most recent call last)
in
24
25 # test function by updating damages
—> 26 updated_damages = converted_damages_data(damages)
27 print(updated_damages)

in converted_damages_data(damages)
18 updated_damages.append(damage)
19 if damage.find(‘M’) != -1:
—> 20 updated_damages.append(float(damage[0:damage.find(‘M’)])*conversion[“M”])
21 if damage.find(‘B’) != -1:
22 updated_damages.append(float(damage[0:damage.find(‘B’)])*conversion[“M”])

TypeError: ‘set’ object is not subscriptable

Here Is the code I used which is exactly what it is in the solutions file. But the error remains.:

def convert_damages_data(damages):
“”“Convert damages data from string to float and return converted data as a list.”“”
conversion = {“M”: 1000000,
“B”: 1000000000}

updated_damages = list()
for damage in damages:
    if damage == "Damages not recorded":
      updated_damages.append(damage)
    if damage.find('M') != -1:
      updated_damages.append(float(damage[0:damage.find('M')])*conversion["M"])
    if damage.find('B') != -1:
      updated_damages.append(float(damage[0:damage.find('B')])*conversion["B"])
return updated_damages

test function by updating damages

updated_damages = convert_damages_data(damages)
print(updated_damages)

Any advise and coaching will be truly appreciated! Thanks!

It seems okay to me. Check the indentations.

# 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'] def convert_damages_data(damages): """Convert damages data from string to float and return converted data as a list.""" conversion = {"M": 1000000, "B": 1000000000} updated_damages = list() for damage in damages: if damage == "Damages not recorded": updated_damages.append(damage) if damage.find('M') != -1: updated_damages.append(float(damage[0:damage.find('M')])*conversion["M"]) if damage.find('B') != -1: updated_damages.append(float(damage[0:damage.find('B')])*conversion["B"]) return updated_damages damages = convert_damages_data(damages) print( damages )