# Python address data parsing example
# Uses the following metadata to parse the address data in AddressData.txt
# Metadata:
# Field firstName lastName StNumber StName City State Zip Zip+4
# Width        10       20        5     25   20     2   5     4

myFile = open('AddressData.txt', 'r') # open text file for reading
for line in myFile:                   # for each line in the file,
  firstName = line[0:10]              # use the metadata to parse into fields
  lastName = line[20:30]
  StreetNumber = line[30:35]
  streetName = line[35:60]
  city = line[60:80]
  state = line[80:82]
  zipCode = line[82:87]
  zip4 = line[87:91]
  # Print the data in each field. All strings have the method lstrip() and
  # rstrip() which trim leading and trailing spaces in a string. Both lstrip()
  # and rstrip() are non-destructive; they don't replace the data in the
  # string variable they act upon.
  print "First name: " + firstName.lstrip()
  print "Last name: " + lastName.lstrip()
  print "Steet number: " + StreetNumber.lstrip()
  print "Street name: " + streetName.lstrip()
  print "city: " + city.lstrip()
  print "state: " + state.lstrip()
  print "ZIP: " + zipCode.lstrip()
  print "ZIP+4: " + zip4.lstrip()