LineData¶
- class pyrcs.collector.LineData(update=False, verbose=True, raise_error=False)[source]¶
A class representation of all modules of the subpackage
line_data
for collecting the codes of line data.- Parameters:
update (bool) – Whether to check for updates to the catalogue; defaults to
False
.verbose (bool | int) – Whether to print relevant information to the console; defaults to
True
.raise_error (bool) – Whether to raise the provided exception; if
raise_error=False
(default), the error will be suppressed.
- Variables:
connected (bool) – Whether the Internet / the Railway Codes website is connected.
catalogue (dict) – The catalogue of the line data.
ELRMileages (ELRMileages) – An instance of the
ELRMileages
class.Electrification (Electrification) – An instance of the
Electrification
class.LocationIdentifiers (LocationIdentifiers) – An instance of the
LocationIdentifiers
class.LOR (LOR) – An instance of the
LOR
class.LineNames (LineNames) – An instance of the
LineNames
class.TrackDiagrams (TrackDiagrams) – An instance of the
TrackDiagrams
class.Bridges (Bridges) – An instance of the
Bridges
class.
Examples:
>>> from pyrcs import LineData >>> ld = LineData() >>> # To get data of location codes >>> location_codes = ld.LocationIdentifiers.fetch_codes() >>> type(location_codes) dict >>> list(location_codes.keys()) ['LocationID', 'Other systems', 'Additional notes', 'Last updated date'] >>> location_codes_dat = location_codes[ld.LocationIdentifiers.KEY] >>> type(location_codes_dat) pandas.core.frame.DataFrame >>> location_codes_dat.head() Location CRS ... STANME_Note STANOX_Note 0 Aachen ... 1 Abbeyhill Junction ... 2 Abbeyhill Signal E811 ... 3 Abbeyhill Turnback Sidings ... 4 Abbey Level Crossing (Staffordshire) ... [5 rows x 12 columns] >>> # To get data of line names >>> line_names_codes = ld.LineNames.fetch_codes() >>> type(line_names_codes) dict >>> list(line_names_codes.keys()) ['Line names', 'Last updated date'] >>> line_names_codes_dat = line_names_codes[ld.LineNames.KEY] >>> type(line_names_codes_dat) pandas.core.frame.DataFrame >>> line_names_codes_dat.head() Line name ... Route_note 0 Abbey Line ... None 1 Airedale Line ... None 2 Argyle Line ... None 3 Arun Valley Line ... None 4 Atlantic Coast Line ... None [5 rows x 3 columns]
Attributes
The name of the data.
Methods