Speeding Up Datetime.strptime

I am using the following piece of code to extract a date from a string: try: my_date = datetime.strptime(input_date, '%Y-%m-%d').date() except ValueError: my_date = None I

Solution 1:

Yes, there are faster methods to parse a date than datetime.strptime(), if you forgo a lot of flexibility and validation. strptime() allows both numbers with and without zero-padding, and it only matches strings that use the right separators, whilst your 'ugly' version doesn't.

You should always use the timeit module for time trials, it is far more accurate than cProfile here.

Indeed, your 'ugly' approach is twice as fast as strptime():

>>>from datetime import date, datetime>>>import timeit>>>defugly(input_date):...    a= 1000 * int(input_date[0])...    b=  100 * int(input_date[1])...    c=   10 * int(input_date[2])...    d=    1 * int(input_date[3])...    year = a+b+c+d...    c=   10 * int(input_date[5])...    d=    1 * int(input_date[6])...    month = c+d...    c=   10 * int(input_date[8])...    d=    1 * int(input_date[9])...    day = c+d...try:...        my_date = date(year, month, day)...except ValueError:...        my_date = None...>>>defstrptime(input_date):...try:...        my_date = datetime.strptime(input_date, "%Y-%m-%d").date()...except ValueError:...        my_date = None...>>>timeit.timeit('f("2014-07-08")', 'from __main__ import ugly as f')
4.21576189994812
>>>timeit.timeit('f("2014-07-08")', 'from __main__ import strptime as f')
9.873773097991943

Your approach can be improved upon though; you could use slicing:

>>>defslicing(input_date):...try:...        year = int(input_date[:4])...        month = int(input_date[5:7])...        day = int(input_date[8:])...        my_date = date(year, month, day)...except ValueError:...        my_date = None...>>>timeit.timeit('f("2014-07-08")', 'from __main__ import slicing as f')
1.7224829196929932

Now it is almost 6 times faster. I also moved the int() calls into the try - except to handle invalid input when converting strings to integers.

You could also use str.split() to get the parts, but that makes it slightly slower again:

>>>defsplit(input_date):...try:...        my_date = date(*map(int, input_date.split('-')))...except ValueError:...        my_date = None...>>>timeit.timeit('f("2014-07-08")', 'from __main__ import split as f')
2.294667959213257