BUG: Add min/max methods to ArrowExtensionArray GH#61311 #61924
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mroeschke
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Jul 22, 2025
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@mroeschke Thank you for your suggestion. I will rework on this PR to implement the _validate_key fix instead. |
simonjayhawkins
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@mroeschke Would you mind taking a look at this PR when you get a chance? I've added a conversion to NumPy in _validate_key, and included a test case. Feedback is appreciated! |
mroeschke
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Jul 30, 2025
pandas/core/indexing.py
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| # convert to numpy array for min/max with ExtensionArrays | ||
| if hasattr(arr, "to_numpy"): | ||
| np_arr = arr.to_numpy() | ||
| else: | ||
| np_arr = np.asarray(arr) |
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Check if arr is an ExtensionArray using if isinstance(arr.dtype, ExtensionDtype) and use arr._reduce("max") instead
mroeschke
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Jul 30, 2025
pandas/tests/indexing/test_iloc.py
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| df_arrow = df.convert_dtypes(dtype_backend="pyarrow") | ||
| result = df_arrow.iloc[:, df_arrow["c"]] | ||
| expected = df_arrow.iloc[:, [0, 2]] |
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Construct this using DataFrame(...) instead
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'ArrowExtensionArray' object has no attribute 'max'when passing pyarrow-backed series to.iloc#61311doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.The core problem is that when using .iloc with PyArrow-backed DataFrames, pandas' indexing validation calls min() and max() methods on the ArrowExtensionArray for bounds checking, but these methods were not implemented, resulting in AttributeError: 'ArrowExtensionArray' object has no attribute 'max'. This breaks basic indexing functionality that works with regular pandas DataFrames, creating an inconsistency in the PyArrow backend experience.
Proposed Solution -
My proposed solution addresses the issue by modifying _validate_key in pandas/core/indexing.py to detect ExtensionArrays and convert them to numpy arrays using to_numpy() or np.asarray(). Included a test case in the file pandas/tests/indexing/test_iloc.py that reproduces the issue to verify the implementation.