Python Convert timedelta to int in a dataframe

Question

I would like to create a column in a pandas data frame that is an integer representation of the number of days in a timedelta column   Is it possible to use  datetime days  or do I need to do something more manual   timedelta column                     7 days  23 29 00   day integer column     7

User · Answer

Timedelta objects have read-only instance attributes  days   seconds  and  microseconds

User · Answer

The Series class has a pandas Series dt accessor object with several useful datetime attributes  including dt days  Access this attribute via  timedelta series dt days  You can also get the seconds and microseconds attributes in the same way

User · Answer

If the question isn t just  how to access an integer form of the timedelta   but  how to convert the timedelta column in the dataframe to an int   the answer might be a little different  In addition to the  dt days accessor you need either df astype or pd to numeric  Either of these options should help   df  tdColumn     pd to numeric df  tdColumn   dt days  downcast  integer     or  df  tdColumn     df  tdColumn   dt days astype  int16

User · Answer

You could do this  where td is your series of timedeltas   The division converts the nanosecond deltas into day deltas  and the conversion to int drops to whole days   import numpy as np   td   np timedelta64 1   D    astype int

User · Answer

The simplest way to do this is by df  quot DateColumn quot      df  quot DateColumn quot    dt days

[python] Python: Convert timedelta to int in a dataframe

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