In [1]: df = pd.DataFrame({ 'date1' : pd.Timestamp('20130101'), 'date2' : pd.date_range('20120101',periods=1000000,freq='s') })
In [2]: %timeit df['date1']-df['date2']
1 loops, best of 3: 2.17 s per loop
pretty easy fix; don't need to infer if its a series (as we know its dtype already)
should be more like this
In [3]: %timeit Series(df['date1'].astype('int64')-df['date2'].astype('int64'),dtype='m8[ns]')
10 loops, best of 3: 43 ms per loop
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