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() >>> cjd_mileage_file = em.collect_mileage_file(elr='CJD') To collect mileage file of "CJD" ? [No]|Yes: yes >>> type(cjd_mileage_file) dict >>> list(cjd_mileage_file.keys()) ['ELR', 'Line', 'Sub-Line', 'Mileage', 'Notes'] >>> cjd_mileage_file['Mileage'] Mileage ... Link_1_Mile_Chain 0 0.0000 ... 1 0.0528 ... 91.48 2 1.1540 ... 3 2.0000 ... 4 2.1562 ... 0.00 5 6.0022 ... 6 8.0308 ... 7 10.0748 ... 8 12.0968 ... 9 14.0968 ... 10 16.1452 ... 11 19.1408 ... 12 19.1540 ... 13 23.0770 ... 14 26.1078 ... 15 28.1276 ... 16 32.1188 ... 17 32.1188 ... 18 38.1276 ... 19 43.0572 ... 20 46.0704 ... 21 49.1188 ... 22 49.1320 ... 0.00 23 55.1606 ... 24 64.0594 ... [25 rows x 8 columns] >>> gam_mileage_file = em.collect_mileage_file(elr='GAM') To collect mileage file of "GAM" ? [No]|Yes: yes >>> 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] >>> sld_mileage_file = em.collect_mileage_file(elr='SLD') To collect mileage file of "SLD" ? [No]|Yes: yes >>> sld_mileage_file['Mileage'] Mileage Mileage_Note Miles_Chains ... Link_1 Link_1_ELR Link_1_Mile_Chain 0 31.0088 31.04 ... MVN2 MVN2 1 31.0682 31.31 ... None 2 31.1474 31.67 ... None 3 32.1078 32.49 ... None 4 32.1232 32.56 ... None [5 rows x 8 columns] >>> elr_mileage_file = em.collect_mileage_file(elr='ELR') To collect mileage file of "ELR" ? [No]|Yes: yes >>> elr_mileage_file['Mileage'] Mileage Mileage_Note ... Link_1_ELR Link_1_Mile_Chain 0 122.0044 ... GRS3 1 122.0682 ... 0.00 2 122.0726 ... SPI 0.00 3 122.0836 ... 4 124.0792 ... 5 127.1716 Approximate ... 6 128.0088 ... 7 128.0154 ... MAB 8 130.0946 ... 9 133.1254 ... 10 134.1694 ... 11 138.0770 ... 12 139.1694 ... MAB 149.43 13 140.1122 ... LOB 150.13 14 141.0000 ... 15 143.0792 ... 16 143.0792 ... 17 145.1078 ... 18 146.0594 ... 19 147.1650 ... 20 148.1166 ... 21 149.1452 ... 22 150.1056 ... 23 151.1606 ... 24 154.0088 ... 25 154.0704 ... 26 154.1078 ... 27 154.1628 ... 28 154.1650 ... MAC3 109.53 [29 rows x 8 columns]