正则表达式排除数字模式

Question

I have the following script that is meant to pull out record ID's within parentheses. It is also meant to ignore other details that are within parenthesis. I am running into an issue with a detail like this (YYYY-DD) where I am not sure how to exclude this, as I need to keep other Record ID's that do include '-'. The script also starts from the end which is important.

script:

df1['Doc ID'] = df['Folder Path'].str.extract('.*\((?!Data Only)(.*)\).*',expand=True)

I have tried adding:

[^\d\d\d\d-\d\d], (?!date_format) and neither work

please look at the 3rd instance, this is where my problem lies:

  Folder Path                                               Doc ID
1 report/global/(Data Only)/admin (245)                     245 #245 is kept, 'Data Only' successfully ignored
2 report/regional(PRSP)/tech/(121,130,505 - RETIRED)/2018   121,130,505 - RETIRED #successfully ignores (PRSP)
3 global/report/admin (505)/(2018-03)                       2018-03 #I cannot figure out how to avoid 2018-03 or any YYYY-DD sequence and only grab 505 in this instance

Answer 1

If you want to start from the right, you should express it in your RE. I would suggest this as a starting point:

df1['Doc ID'] = df['Folder Path'].str.extract('\(([^(]*?)\)[^)]*$',expand=True)

But this suffers from matching the date, so let us insert a subpattern for that as well:

df1['Doc ID'] = df['Folder Path'].str.extract('\(([^(]*?)\)[^)]*(?:\(\d{4}-\d{2}\))?[^)]*$',expand=True)