# for a list of string date objects you could use below code. import datetimeĭate_tup = (int(my_str),int(my_str),int(my_str)) You can use strptime in the datetime package of Python: > import datetime > (24052010, dmY).date(). You could run this code on a list of string object similar to above and convert the entire list of tuples object to date object by simply unpacking(*tuple) check the code below. In a very manual way you could just go like this:-įirst split the string as (yyyy-mm-dd) format so you could get a tuple something like this (2010, 5, 24), then simply convert this tuple to a date format something like. %timeit _ = list(map(lambda x: ciso8601.parse_datetime(x).date(), l))Ģ41 µs ± 3.24 µs per loop (mean ± std. In this article, we are going to convert the Datetime string of the format ‘yyyy-mm-dd' (yyyy-mm-dd stands for year-month-day) into Datetime using Python. Step 03: Pass the string and format to the. Working with dates and times is a common task in programming, and Python offers a powerful datetime module to handle date and time-related operations. Step 02: Create the date-time format from the strptime ()directives. Step 01: Analyze the date-time string that can be converted for patterns that match the formatting codes. of 7 runs, 10 loops each)įor ISO8601 datetime format the ciso8601 is a rocket import ciso8601 Now that we understand the strptime directives, the process of converting strings to datetime objects can be simplified. of 7 runs, 1000 loops each)Ĥ4.5 ms ± 522 µs per loop (mean ± std. If you have a list of 5-6 elements you can directly make use of np.datetime64 data type by just changing the format (yyyy-mm-dd hh:mm:ss) of date in your list. of 7 runs, 100 loops each)ġ.76 ms ± 27.3 µs per loop (mean ± std. np.datetime64 works with format yyyy-mm-dd hh:mm:ss. of 7 runs, 10000 loops each)įor a list of values the pandas pd.to_datetime is the fastest l = * 1000Ħ.32 ms ± 89.6 µs per loop (mean ± std. %timeit _ = list(map(lambda x: arrow.get(x, 'DMYYYY').date(), l))Ĥ6 µs ± 978 ns per loop (mean ± std. %timeit _ = list(map(lambda x: datetime.strptime(x, '%d%m%Y').date(), l))Ħ.86 µs ± 56.5 ns per loop (mean ± std. Sre_constants.error: redefinition of group name 'H' as group 7 was group 4Īnd you tried: > from dateutil.parser import parseĭatetime.datetime(2015, 2, 24, 13, 0, tzinfo=tzoffset(None, -28800))įor single value the datetime.strptime method is the fastest import arrow Return re_compile(self.pattern(format), IGNORECASE)įile "/usr/local/lib/python2.7/re.py", line 194, in compileįile "/usr/local/lib/python2.7/re.py", line 251, in _compile
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