Pandas Timestamp reformatting
use a regular expression by looking for the hour and minute second  pattern (\d{4})-\d{2}-(\d{2})\s+(\d{2})_(\d{2}).(\d{2}).(\d{2}) and use re.findall then get each group part then reassemble the datetime stringthen convert to a datetime
I have a pandas Timestamp column that looks like this:
2021.11.04_23.03.33
How do I convert this in a single liner to be able to look like this:
2021-11-04 23:03:33