Pandas: adding offset to date when DST changes

I'm not sure if this is a pandas bug, or if I am doing something wrong.

Given a date and time like this:

foo_date = pd.Timestamp('2016-10-30 00:00:00', 
                        tz=pytz.timezone('Europe/Helsinki'))

      

        
        
        
      

    

And the offset interval ( 'D'

, '10m'

, whatever), I want to get a start date for the next interval.

I am doing this:

offset = pd.tseries.frequencies.to_offset('D') # 'D' or any other offset, it shouldn't matter
new_date = foo_date + offset

      

        
        
        
      

    

Or like this (same result):

offset = pd.DateOffset(1)
new_date = foo_date + offset

      

        
        
        
      

    

I expect this:

Timestamp('2016-10-31 00:00:00+0200', tz='Europe/Helsinki')  

      

        
        
        
      

    

But instead I get this:

Timestamp('2016-10-30 23:00:00+0200', tz='Europe/Helsinki')   

      

        
        
        
      

    

The problem is that it 2016-10-30

is 25 hours a day due to the DST change, so when I add offset

it only adds 24 hours and I get the wrong time and time.

I think the time offset should be timezone sensitive, but it looks like it isn't. How can I achieve what I need?