ELRMileages.collect_mileage_file
- ELRMileages.collect_mileage_file(elr, parsed=True, confirmation_required=True, dump_it=False, verbose=False)
Collect mileage file for the given ELR from source web page.
- Parameters:
elr (str) – ELR, e.g.
'CJD','MLA','FED'parsed (bool) – whether to parse the scraped mileage data
confirmation_required (bool) – whether to confirm before proceeding, defaults to
Truedump_it (bool) – whether to save the collected data as a pickle file, defaults to
Falseverbose (bool or int) – whether to print relevant information in console, defaults to
False
- Returns:
mileage file for the given
elr- Return type:
dict
Note
In some cases, mileages are unknown hence left blank, e.g. ANI2, Orton Junction with ROB (~3.05)
Mileages in parentheses are not on that ELR, but are included for reference, e.g. ANL, (8.67) NORTHOLT [London Underground]
As with the main ELR list, mileages preceded by a tilde (~) are approximate.
Examples:
>>> from pyrcs.line_data import ELRMileages # from pyrcs import ELRMileages >>> em = ELRMileages() >>> gam_mileage_file = em.collect_mileage_file(elr='GAM') To collect mileage file of "GAM" ? [No]|Yes: yes >>> type(gam_mileage_file) dict >>> list(gam_mileage_file.keys()) ['ELR', 'Line', 'Sub-Line', 'Mileage', 'Notes'] >>> gam_mileage_file['Mileage'] Mileage Mileage_Note Miles_Chains ... Link_1 Link_1_ELR Link_1_Mile_Chain 0 8.1518 8.69 ... None 1 10.0264 10.12 ... None [2 rows x 8 columns] >>> xrc2_mileage_file = em.collect_mileage_file(elr='XRC2') To collect mileage file of "XRC2" ? [No]|Yes: yes >>> xrc2_mileage_file['Mileage'] Mileage Mileage_Note ... Link_1_ELR Link_1_Mile_Chain 0 9.0158 14.629km ... 1 9.0447 14.893km ... 2 9.0557 14.994km ... [3 rows x 8 columns] >>> xre_mileage_file = em.collect_mileage_file(elr='XRE') To collect mileage file of "XRE" ? [No]|Yes: yes >>> xre_mileage_file['Mileage'] Mileage Mileage_Note ... Link_2_ELR Link_2_Mile_Chain 0 7.0073 11.333km ... 1 7.0174 11.425km ... 2 9.0158 14.629km ... 3 9.0198 14.666km ... 4 9.0389 14.840km ... 5 9.0439 (14.886)km ... 6 9.0540 (14.978)km ... [7 rows x 11 columns] >>> mor_mileage_file = em.collect_mileage_file(elr='MOR') To collect mileage file of "MOR" ? [No]|Yes: yes >>> type(mor_mileage_file['Mileage']) dict >>> list(mor_mileage_file['Mileage'].keys()) ['Original measure', 'Later measure'] >>> mor_mileage_file['Mileage']['Original measure'] Mileage Mileage_Note Miles_Chains ... Link_1 Link_1_ELR Link_1_Mile_Chain 0 0.0000 0.00 ... SWA (215.18) SWA 215.18 1 0.0792 0.36 ... None 2 0.1716 0.78 ... None 3 1.1166 1.53 ... None 4 2.0066 2.03 ... None 5 2.0836 2.38 ... None 6 ... None 7 3.0462 3.21 ... SDI2 (2.79) SDI2 2.79 [8 rows x 8 columns] >>> mor_mileage_file['Mileage']['Later measure'] Mileage Mileage_Note Miles_Chains ... Link_1 Link_1_ELR Link_1_Mile_Chain 0 0.0000 0.00 ... SWA (215.26) SWA 215.26 1 0.0176 0.08 ... SWA (215.18) SWA 215.18 2 0.0968 0.44 ... None 3 1.0132 1.06 ... None 4 1.1342 1.61 ... None 5 2.0242 2.11 ... None 6 2.1012 2.46 ... None 7 ... None 8 3.0638 3.29 ... SDI2 (2.79) SDI2 2.79 [9 rows x 8 columns] >>> fed_mileage_file = em.collect_mileage_file(elr='FED') To collect mileage file of "FED" ? [No]|Yes: yes >>> type(fed_mileage_file['Mileage']) dict >>> list(fed_mileage_file['Mileage'].keys()) ['Current route', 'Original route'] >>> fed_mileage_file['Mileage']['Current route'] Mileage Mileage_Note ... Link_1_ELR Link_1_Mile_Chain 0 83.1254 ... FEL 1 84.0198 ... 2 84.1430 ... 3 84.1540 ... 4 85.0484 ... 5 85.1122 ... 6 85.1188 ... TFN 2.13 [7 rows x 8 columns] >>> fed_mileage_file['Mileage']['Original route'] Mileage Mileage_Note Miles_Chains ... Link_1 Link_1_ELR Link_1_Mile_Chain 0 0.0000 0.00 ... FEL (84.22) FEL 84.22 1 1.0176 1.08 ... None 2 1.1540 1.70 ... None 3 1.1694 1.77 ... None [4 rows x 8 columns]