Pandas astype with date (or datetime) - Stack Overflow df = df astype({'date': 'datetime64[ns]'}) worked by the way I think that must have considerable built-in ability for different date formats, year first or last, two or four digit year I just saw 64 ns and thought it wanted the time in nanoseconds
SQL query to select dates between two dates - Stack Overflow I have a start_date and end_date I want to get the list of dates in between these two dates Can anyone help me pointing the mistake in my query select Date,TotalAllowance from Calculation where
Last account activity - Gmail Help - Google Help You can see your sign-in history, including the dates and times that your Gmail account was used You can also see the IP addresses which were used to access your account See your account activity
Keep only date part when using pandas. to_datetime 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