LOR.collect_lor_codes_by_prefix

LOR.collect_lor_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

>>> lor = LOR()

>>> lor_codes_cy = lor.collect_lor_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_lor_codes_by_prefix(prefix='NW')

>>> type(lor_codes_nw)
dict
>>> list(lor_codes_nw.keys())
['NW/NZ', 'Notes', 'Last updated date']

>>> lor_codes_ea = lor.collect_lor_codes_by_prefix(prefix='EA')

>>> ea_codes = lor_codes_ea['EA']

>>> type(ea_codes)
dict
>>> list(ea_codes.keys())
['Current system', 'Original system']

>>> ea_codes['Current system']['EA'].head()
     Code  ... Line Name Note
0  EA1000  ...           None
1  EA1010  ...           None
2  EA1011  ...           None
3  EA1012  ...           None
4  EA1013  ...           None
[5 rows x 5 columns]