in addition to forcing non-dates (or non-parseable dates) to NaT. Parameters argint, float, str, datetime, list, tuple, 1-d array, Series, DataFrame/dict-like The object to convert to a datetime. Method 1 : Using date function By using date method along with pandas we can get date. possible, otherwise they are converted to datetime.datetime. datetime.datetime). @hayden: What is your numpy version? string. What is the difference between Python's list methods append and extend? Asking for help, clarification, or responding to other answers. "10/11/12" is parsed as 2010-11-12. using timedelta_range(). Can a private person deceive a defendant to obtain evidence? First, select all the columns you wanted to convert and use astype () function with the type you wanted to convert as a param. Series are converted to Series with datetime64 DatetimeIndex(['2018-10-26 12:00:00+00:00', '2018-10-26 13:00:00+00:00']. Webpandas represents Timedeltas in nanosecond resolution using 64 bit integers. szeitlin May 24, 2018 at 23:42 2 The issue with this answer is that it converts the column to dtype = object which takes up considerably more memory than a true datetime dtype in pandas. 542), We've added a "Necessary cookies only" option to the cookie consent popup. time offsets. unit of nanoseconds is assumed. This person didn't say anything about the size of the dataset, or about parquet. Webclass pandas.Timedelta(value=