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Delete all old emails after a certain date i have too many emails The midnight time and the system default timezone should be taken implicitly for the conversion. 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. Since we are interested only in the date portion and there is no timezone information in neither of the objects, why introduce time zones explicitly Should this be handled somewhere in the jquery code

I've tried the jquery.ui.datepicker plugin using $.datepicker.formatdate() without any success

Here's the solution i came up with using a combination of the answers here: [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: How do i convert a datetime.datetime object (e.g., the return value of datetime.datetime.now()) to a datetime.date object in python? 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?

A date data type contains both date and time elements 同様に、 DATE(1969,1,32) のように 1 月には存在しない 32 日を指定すると、2/1/1969 が返されます。 Date 関数は、小数点以下の値を自動的に切り捨てます。 Which seems a bit awkward to me