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Delete all old emails after a certain date i have too many emails So if ie 8 compatibility is a concern you should use new date().valueof() at the cost of slightly diminished code readability. How do i delete all those older than a certain date

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I haven't tried anything because i can't keep selecting and deleting 10,000 old emails. New date().gettime() functionally equivalent to new date().valueof() date.now() functionally equivalent to the 2 methods above as mentioned in the comments and mdn links, date.now() is not supported in internet explorer 8 [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? 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: I am working on a program that requires the date of an event to get returned I am looking for a date, not a datetime

Is there a datatype that returns just the date? It prints the current day and time to the standard output stream, but i want to get this output or assign them to the current_day and current_time variables, so that i can do some processing with those values later on. If the datatype is date(time), the format shown is dependant on your local settings Dates don't have an inherent format