I have a dict of addresses and I need to parse each address for the town, state, and zip code. And of course each address entry is not uniform. Most are the "standard" format of street address, town, state, zip 123 Anywhere St. Some Town, NE 12345 But some will have an extra field at the beginning, such as: Wildlife Preservation X, 123 Anywhere St. Some Town, NE 12345 And some others will only have the town, state, and zip: Some Town, NE 12345 This bit of code works, but it just seems very inefficient and I'm thinking there's got to be a better, cleaner way # Address contains a name, then street address, town, state, zip, USA if each.origin_addresses.count(',') == 4: town = each.origin_addresses.split(', ')[2] state = each.origin_addresses.split(', ')[3].split(" ")[0] zip_code = each.origin_addresses.split(', ')[3].split(" ")[1] # Address contains street address, town, state, zip, USA elif each.origin_addresses.count(',') == 3: town = each.origin_addresses.split(', ')[1] state = each.origin_addresses.split(', ')[2].split(" ")[0] zip_code = each.origin_addresses.split(', ')[2].split(" ")[1] # Address contains town, state, zip, USA elif each.origin_addresses.count(',') == 2: town = each.origin_addresses.split(', ')[0] state = each.origin_addresses.split(', ')[1].split(" ")[0] zip_code = each.origin_addresses.split(', ')[1].split(" ")[1]` Thanks Continue reading...
