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See more:!AqOToJXfujDolGP2oP9gTlpfc902?e=NXDgbT

Basically says it in the title. I want the type <class'pandas._libs.tslibs.timestamps.timestamp'> to change to <class 'int'="">. However I want the values 15478 and 16216 to stay the same.

What I have tried:

Simply using int() doens't work unfortunately and gives the following error message:

TypeError: int() argument must be a string, a bytes-like object or a number, not 'Timestamp'
Richard MacCutchan 18-Apr-22 14:27pm    
The error message says it all, you cannot convert a TimeStamp to an int. However, you can extract the time as a number of minutes, seconds etc. It all depends what you are trying to do with the information.
Zomaar een kijker 18-Apr-22 15:34pm    
The end goal is to be able use these numbers so the 15478 and 16216 in "slicing" another dataset. However I can't simply put these numbers in because I get the following error:

TypeError: slice indices must be integers or None or have an __index__ method

Is there any other way to make it so I can use these numbers in slicing?
Richard MacCutchan 18-Apr-22 15:46pm    
You have not explained what these numbers are and how they relate to a TimeStamp.
Zomaar een kijker 18-Apr-22 18:04pm    
So the code and the dataset are in the link provided in the top of my first comment. The number is basically indexed from a list a list of dates, I think the reason it might be specifically this type is because I searched for this using BMonthEnd which gives you the end date of a business month. The goal is to just use that number on a different list.

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