Beispieldaten:
Code: Select all
A1G01409xxx xxxx T 30499759910.001099101000199105100105430021 47.570952 -53.32332502xxxxxx WW19921220190000010AAA11
A31124xxxxxx No. 1, Subd. U SNO21499649910.001099101000199105100107410182 47.166651 -52.88563505MOBILE WW19921220190000011NNN51
A3B01339Division No. 1, Subd. G SNO35799759910.001003701000299105100105000122 47.945009 -53.06603613 WW19921220190000011NNN51
A3P01379 T 35799759910.001099101000101364100105250252 47.678897 -53.25694413RIVERHEAD WW19921220190000011NNN52
Code: Select all
schema_dict = {
"Postal_codeOM": (1, 6),
"FSA": (7, 3),
# ... and so on for other columns ...
}
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