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Give PandasCursor's temporal columns one dtype per Athena type - #1273

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laughingman7743 merged 13 commits into

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fix/1219-pandas-temporal-dtypes

Oct 18, 2026

Merged

Give PandasCursor's temporal columns one dtype per Athena type#1273
laughingman7743 merged 13 commits into
masterfrom
fix/1219-pandas-temporal-dtypes

Commits on Oct 18, 2026
- Give PandasCursor's temporal columns one dtype per Athena type
  
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- Describe PandasCursor's temporal dtypes and fetched types
  
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- Convert early local times, group zones once, and share the label dispatch
  
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- Test early local times, conversion errors, engine-independent time zone columns, and options
  
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- Describe the temporal conversion precedence, errors, and iterator rows
  
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- Ignore pandas' converter-and-dtype warning in the engine test
  
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- Keep NULL in every engine, take positional and mapping options, and localize zones together
  
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- Resolve dtype and converters keys of temporal columns as pandas does
  
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- Test that the PyArrow engine takes no dtype positions of temporal columns
  
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- Leave temporal columns to pandas with parse_dates, dtype, or converters
  
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- Treat a None parse_dates, dtype, or converters as not given
  
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- Check that converters of None keep the PyArrow engine
  
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- Expect datetime64 for the UNLOAD date column of the complex pyarrow test
  
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  3b62b8d

Commits

Commits on Oct 18, 2026