SignalBoxes.fetch_non_national_rail_codes
- SignalBoxes.fetch_non_national_rail_codes(update=False, dump_dir=None, verbose=False)
Fetch signal box prefix codes of non-national rail.
- Parameters
update (bool) – whether to do an update check (for the package data), defaults to
False
dump_dir (str or None) – name of package data folder, defaults to
None
verbose (bool or int) – whether to print relevant information in console, defaults to
False
- Returns
signal box prefix codes of non-national rail
- Return type
dict
Examples:
>>> from pyrcs.other_assets import SignalBoxes # from pyrcs import SignalBoxes >>> sb = SignalBoxes() >>> nnr_codes = sb.fetch_non_national_rail_codes() >>> type(nnr_codes) dict >>> list(nnr_codes.keys()) ['Non-National Rail', 'Last updated date'] >>> sb.KEY_TO_NON_NATIONAL_RAIL 'Non-National Rail' >>> nnr_codes_dat = nnr_codes[sb.KEY_TO_NON_NATIONAL_RAIL] >>> type(nnr_codes_dat) dict >>> list(nnr_codes_dat.keys()) ['Croydon Tramlink signals', 'Docklands Light Railway signals', 'Edinburgh Tramway signals', 'Glasgow Subway signals', 'London Underground signals', 'Luas signals', 'Manchester Metrolink signals', 'Midland Metro signals', 'Nottingham Tram signals', 'Sheffield Supertram signals', 'Tyne & Wear Metro signals', "Heritage, minor and miniature railways and other 'special' signals"] >>> lu_signals_codes = nnr_codes_dat['London Underground signals'] >>> type(lu_signals_codes) dict >>> list(lu_signals_codes.keys()) ['Codes', 'Notes'] >>> type(lu_signals_codes['Codes']) pandas.core.frame.DataFrame >>> lu_signals_codes['Codes'].head() Code ... Became or taken over by (where known) 0 BMX ... - 1 A ... - 2 S ... - 3 X ... - 4 R ... - [5 rows x 5 columns]