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The opposite conversion is easy 0 if i have a pandas dataframe with timestamp column (1546300800000, 1546301100000, 1546301400000, 1546301700000, 1546302000000) and i want to convert this into date time format Delete all old emails after a certain date i have too many emails

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How do i delete all those older than a certain date Adding utc=false when converting to datetime will remove the timezone component and keep only the date in a datetime64 [ns] data type. I haven't tried anything because i can't keep selecting and deleting 10,000 old emails.

How do i get this?

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 So if ie 8 compatibility is a concern you should use new date().valueof() at the cost of slightly diminished code readability. If the datatype is date(time), the format shown is dependant on your local settings Dates don't have an inherent format

If you want to display a particular format. Just giving a more up to date answer in case someone sees this old post