Having Trouble with a DateTime format - need to set first entry then calculate based on time

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Now I converted 2 columns that were originally '%H:%M' format toDatetime and it defaulted the Y:M:D to 1900-01-01. How would I be able to name the first row date and then it calculate the date for the rest of the column. I have multiple days in the Actual Time column, so I would need something that adds the next day to the Y:M:D date...

>>> dfsched['Actual Time']= pd.to_datetime(dfsched['Actual Time'], format='%H:%M')
>>> dfsched.head()
   Engine   Trip   Arr/ Dept       Schedule Time         Actual Time 
0   670.0  E9207           D 1900-01-01 06:12:00 1900-01-01 05:49:00  
1   670.0  E9207           A 1900-01-01 06:22:00 1900-01-01 06:00:00   
2   670.0   9207           D 1900-01-01 06:39:00 1900-01-01 06:39:00  
3   670.0   9207           A 1900-01-01 06:43:00 1900-01-01 06:44:00    
4   670.0   9207           D 1900-01-01 06:44:00 1900-01-01 06:45:00

So to be clear, I'd like to set row one to "2023-11-12" and for later on in Actual Time's DateTime for it to recognize it's now 2012-11-13 and have it set automatically for the next few days.



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