SignalBoxes.collect_non_national_rail_codes

SignalBoxes.collect_non_national_rail_codes(confirmation_required=True, verbose=False)

Collect signal box prefix codes of non-national rail from source web page.

Parameters

confirmation_required (bool) – whether to confirm before proceeding, defaults to True
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 or None

Examples:

>>> from pyrcs.other_assets import SignalBoxes  # from pyrcs import SignalBoxes

>>> sb = SignalBoxes()

>>> nnr_codes = sb.collect_non_national_rail_codes()
To collect data of non-national rail signal box prefix codes
? [No]|Yes: yes
>>> 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]