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  1. Apache Arrow
  2. ARROW-7723

[Python] StructArray timestamp type with timezone to_pandas convert error

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      When a StructArray has a child that is a timestamp with a timezone, the to_pandas conversion outputs an int64 instead of a timestamp

      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
      
      

      from https://github.com/apache/arrow/pull/6312

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              • Assignee:
                wesm Wes McKinney
                Reporter:
                bryanc Bryan Cutler
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