Electrification.collect_national_network_codes¶
- Electrification.collect_national_network_codes(confirmation_required=True, verbose=False, raise_error=False)[source]¶
Collect the section codes for Overhead Line Electrification (OLE) installations for the national network from the source web page.
- Parameters:
confirmation_required (bool) – Whether user confirmation is required; if
confirmation_required=True(default), prompts the user for confirmation before proceeding with data collection.verbose (bool | int) – Whether to print relevant information to the console; defaults to
False.raise_error (bool) – Whether to raise the provided exception; if
raise_error=False(default), the error will be suppressed.
- Returns:
A dictionary of OLE section codes for the national network, or
Noneif not applicable.- Return type:
dict | None
Examples:
>>> from pyrcs.line_data import Electrification # from pyrcs import Electrification >>> elec = Electrification() >>> nn_codes = elec.collect_national_network_codes(verbose=True) Proceed with collecting section codes for OLE installations: "National network"? [No]|Yes: yes Collecting the data ... Done. >>> type(nn_codes) dict >>> list(nn_codes.keys()) ['National network', 'Last updated date'] >>> nn_codes_dat = nn_codes['National network'] # elec.KEY_TO_NATIONAL_NETWORK >>> type(nn_codes_dat) dict >>> list(nn_codes_dat.keys()) ['Traditional numbering system [distance and sequence]', 'New numbering system [km and decimal]', 'Codes not certain [confirmation is welcome]', 'Suspicious data', 'An odd one to complete the record', 'LBSC/Southern Railway overhead system', 'Codes not known'] >>> tns_codes = nn_codes_dat['Traditional numbering system [distance and sequence]'] >>> type(tns_codes) dict >>> list(tns_codes.keys()) ['Codes', 'Notes'] >>> tns_codes_dat = tns_codes['Codes'] >>> tns_codes_dat.shape (577, 5) >>> tns_codes_dat.head() Code ... Note 0 A ... 1 A ... Only a short length at Newbridge Junction wire... 2 A ... 3 A ... Former DC system, now closed; it appears that ... 4 AB ... Reported, probably never used. See F [5 rows x 5 columns]