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I haven't tried anything because i can't keep selecting and deleting 10,000 old emails.

Date if you want to cast into date, then you can first cast to datetime64[ns] and then use dt.date to get a column of datetime.date objects: The z is pronounced “zulu” How do i convert a datetime.datetime object (e.g., the return value of datetime.datetime.now()) to a datetime.date object in python? Is used to convert a character string to a date format And related to your concern You need to alter your session like below

So now if you run again your query The result would be as. [dt.to_datetime().date() for dt in df.dates] but this is really slow since i have many rows and it sort of defeats the purpose of using pandas.to_datetime Is there a way to convert the dtype of the entire column at once Or alternatively, does pandas.to_datetime support a precision specification so that i can get rid of the time part while working with daily data? What is an easy way to check if a value is a valid date, any known date format allowed

Call it with a date object and it will resolve to justadate reflecting the timezone of the user

Call it with a string If the string is an iso 8601 with timezone specified, we'll just round off the time part. @devssh—the use of date.parse in new date(date.parse(string)) is entirely redundant, new date(string) must produce an identical result If you want to post an answer, do that at the duplicate.