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Delete all old emails after a certain date i have too many emails The z is pronounced “zulu” How do i delete all those older than a certain date

Day And Date (Differences Explained: All You Need To Know) - AmazeLaw

I haven't tried anything because i can't keep selecting and deleting 10,000 old emails. Public static string getcurrenttimestamp() { simpledateformat sdfdate = new simpledateformat("yy. [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? A date data type contains both date and time elements

How do i get this? In a windows (windows xp) batch script i need to format the current date and time for later use in files names, etc It is similar to stack overflow question how to append a date in batch fil. Detecting a date type object (as opposed to a plain object or a string) and validating an object you expect to be a date are two different tasks

There are a number of situations where the input to your function could be one of a number of different data types

In my case, i can trust that any date object i get is valid (it's not coming straight from a client) if validating is a concern, here. The code below gives me the current time But it does not tell anything about milliseconds