[GitHub] [arrow] itamarst commented on pull request #7169: ARROW-5359: [Python] Support non-nanosecond out-of-range timestamps in conversion to pandas

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itamarst commented on pull request #7169:
URL: https://github.com/apache/arrow/pull/7169#issuecomment-642098139


   > @itamarst thanks for the updated tests
   > 
   > I wanted to do a final check before merging, but I now realize we might not necessarily need a new option on the C++ level (`timestamp_as_object`), as we already have the internal `coerce_temporal_nanoseconds` option, which we can set depending on the public `timestamp_as_object` option.
   > 
   > Eg the code at
   > 
   > https://github.com/apache/arrow/blob/75546d1aa8a45a0358f88f4993a5a8ed2452f2e4/python/pyarrow/array.pxi#L1114-L1115
   > 
   > could be (I think)
   > 
   > ```
   > if not timestamp_as_object:
   >     c_options.coerce_temporal_nanoseconds = True
   > ```
   > 
   
   Mmmm. Maybe? That also interacts with `date_as_object` so it plausibly will have side-effects if we switch to that implmenetation.
   
   ```c++
       case Type::DATE64:
         if (options.date_as_object) {
           *output_type = PandasWriter::OBJECT;
         } else {
           *output_type = options.coerce_temporal_nanoseconds ? PandasWriter::DATETIME_NANO
                                                              : PandasWriter::DATETIME_DAY;
         }
   
   ```
   


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