I think this is one of the coursera text mining assignment. Well you can use regex and extract to get the solution. dates.txt i.e
doc = []
with open('dates.txt') as file:
for line in file:
doc.append(line)
df = pd.Series(doc)
def date_sorter():
# Get the dates in the form of words
one = df.str.extract(r'((?:\d{,2}\s)?(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[a-z]*(?:-|\.|\s|,)\s?\d{,2}[a-z]*(?:-|,|\s)?\s?\d{2,4})')
# Get the dates in the form of numbers
two = df.str.extract(r'((?:\d{1,2})(?:(?:\/|-)\d{1,2})(?:(?:\/|-)\d{2,4}))')
# Get the dates where there is no days i.e only month and year
three = df.str.extract(r'((?:\d{1,2}(?:-|\/))?\d{4})')
#Convert the dates to datatime and by filling the nans in two and three. Replace month name because of spelling mistake in the text file.
dates = pd.to_datetime(one.fillna(two).fillna(three).replace('Decemeber','December',regex=True).replace('Janaury','January',regex=True))
return pd.Series(dates.sort_values())
date_sorter()
Output:
9 1971-04-10 84 1971-05-18 2 1971-07-08 53 1971-07-11 28 1971-09-12 474 1972-01-01 153 1972-01-13 13 1972-01-26 129 1972-05-06 98 1972-05-13 111 1972-06-10 225 1972-06-15 31 1972-07-20 171 1972-10-04 191 1972-11-30 486 1973-01-01 335 1973-02-01 415 1973-02-01 36 1973-02-14 405 1973-03-01 323 1973-03-01 422 1973-04-01 375 1973-06-01 380 1973-07-01 345 1973-10-01 57 1973-12-01 481 1974-01-01 436 1974-02-01 104 1974-02-24 299 1974-03-01
If you want to return only the index then return pd.Series(dates.sort_values().index)
Parsing of first regex
#?: Non-capturing group ((?:\d{,2}\s)? # The two digits group. `?` refers to preceding token or group. Here the digits of 2 or 1 and space occurring once or less. (?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[a-z]* # The words in group ending with any letters `[]` occuring any number of times (`*`). (?:-|\.|\s|,) # Pattern matching -,.,space \s? #(`?` here it implies only to space i.e the preceding token) \d{,2}[a-z]* # less than or equal to two digits having any number of letters at the end (`*`). (Eg: may be 1st, 13th , 22nd , Jan , December etc ) . (?:-|,|\s)?# The characters -/,/space may occur once and may not occur because of `?` at the end \s? # space may occur or may not occur at all (maximum is 1) (`?` here it refers only to space) \d{2,4}) # Match digit which is 2 or 4
Hope it helps.