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The opposite conversion is easy If you want to display a particular format. Delete all old emails after a certain date i have too many emails
How do i delete all those older than a certain date Dates don't have an inherent format 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. Just giving a more up to date answer in case someone sees this old post Adding utc=false when converting to datetime will remove the timezone component and keep only the date in a datetime64 [ns] data type.
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 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: If the datatype is date(time), the format shown is dependant on your local settings
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