Python Date RegEx

dateregex.py

# These are for a Pandas Series, but regex portion works for any text

# Match dates like MM/DD/YYY with 1 or 2 digit month and date, and 2 or 4 digit year, and either / or - separators
df.str.findall(r'\d{1,2}[-/]\d{1,2}[-/]\d{2,4}')

# Match dates like 24 Jan 2001 with 1 or 2 digit day, and 2 or 4 digit year, full or abbreviated month
# with a possible period and / or coma after the month
df.str.findall(r'\d{1,2} (?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[a-z.,]* \d{2,4}')

# Same as above, but with possibility for date to be before or after month, like Jan 24, 2001
df[311:380].str.findall(r'(?:\d{1,2} )(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[a-z.,]* (?:\d{1,2} )?\d{2,4}')