LOR.collect_codes_by_prefix
- LOR.collect_codes_by_prefix(prefix, update=False, verbose=False)
Collect PRIDE/LOR codes by a given prefix.
- Parameters
prefix (str) – prefix of LOR codes
update (bool) – whether to do an update check (for the package data), defaults to
False
verbose (bool or int) – whether to print relevant information in console, defaults to
False
- Returns
LOR codes for the given
prefix
- Return type
dict or None
Examples:
>>> from pyrcs.line_data import LOR # from pyrcs import LOR >>> lor = LOR() >>> lor_codes_cy = lor.collect_codes_by_prefix(prefix='CY') >>> type(lor_codes_cy) dict >>> list(lor_codes_cy.keys()) ['CY', 'Notes', 'Last updated date'] >>> cy_codes = lor_codes_cy['CY'] >>> type(cy_codes) pandas.core.frame.DataFrame >>> cy_codes.head() Code ... Line Name Note 0 CY240 ... None 1 CY1540 ... None [2 rows x 5 columns] >>> lor_codes_nw = lor.collect_codes_by_prefix(prefix='NW') >>> type(lor_codes_nw) dict >>> list(lor_codes_nw.keys()) ['NW/NZ', 'Notes', 'Last updated date'] >>> nw_codes = lor_codes_nw['NW/NZ'] >>> nw_codes.head() Code ... Line Name Note 0 NW1001 ... None 1 NW1002 ... None 2 NW1003 ... None 3 NW1004 ... None 4 NW1005 ... None [5 rows x 5 columns] >>> lor_codes_xr = lor.collect_codes_by_prefix(prefix='XR') >>> xr_codes = lor_codes_xr['XR'] >>> type(xr_codes) dict >>> list(xr_codes.keys()) ['Current codes', 'Past codes'] >>> xr_codes['Current codes']['XR'].head() Code ... Line Name Note 0 XR001 ... None 1 XR002 ... None [2 rows x 5 columns]