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Showing content from https://github.com/pandas-dev/pandas/issues/13043 below:

Series with datetime-like object ops raises TypeError · Issue #13043 · pandas-dev/pandas · GitHub

Code Sample, a copy-pastable example if possible

pd.Series([pd.Timestamp('2015-01-01', tz='US/Eastern'),
           pd.Timestamp('2015-01-01', tz='Asia/Tokyo')]) + pd.Timedelta('1 days')
# TypeError: unsupported operand type(s) for +: 'numpy.ndarray' and 'Timedelta'

pd.Series([pd.Period('2015-01-01', freq='D')]) + pd.Timedelta('1 days')
# TypeError: unsupported operand type(s) for +: 'numpy.ndarray' and 'Timedelta'

Expected Output

ops must be applied to each elem

output of pd.show_versions()

current master.

NOTE: This works:

pd.Series([pd.Timestamp('2015-01-01', tz='US/Eastern'),
           pd.Timestamp('2015-01-01', tz='Asia/Tokyo')]) + pd.tseries.offsets.Day()
#0    2015-01-02 00:00:00-05:00
#1    2015-01-02 00:00:00+09:00
# dtype: object

pd.Series([pd.Period('2015-01-01', freq='D')]) + pd.tseries.offsets.Day()
#0   2015-01-02
# dtype: object

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