[Python] StructArray timestamp type with timezone to_pandas convert error

In [1]: import pyarrow as pa 
   ...: import pandas as pd 
   ...: arr = pa.array([{'start': pd.Timestamp.now(), 'end': pd.Timestamp.now()}]) 
   ...:                                                                                                                      

In [2]: arr.to_pandas()                                                                                   
Out[2]: 
0    {'end': 2020-01-29 11:38:02.792681, 'start': 2...
dtype: object

In [3]: ts = pd.Timestamp.now()                                                                                              

In [4]: arr2 = pa.array([ts], type=pa.timestamp('us', tz='America/New_York'))                                                

In [5]: arr2.to_pandas()                                                                                  
Out[5]: 
0   2020-01-29 06:38:47.848944-05:00
dtype: datetime64[ns, America/New_York]

In [6]: arr = pa.StructArray.from_arrays([arr2, arr2], ['start', 'stop'])                                                    

In [7]: arr.to_pandas()                                                                                   
Out[7]: 
0    {'start': 1580297927848944000, 'stop': 1580297...
dtype: object