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]