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BUG: Add PyArrow datelike type support for map() #61644

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BUG: Add PyArrow datelike type support for map() #61644

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78b92c4
call self.to_numpy() when self.dtype.pyarrow_dtype is datelike
KevsterAmp Jun 13, 2025
ffb2a6f
refactor to combine in one if block
KevsterAmp Jun 13, 2025
bd1b70c
fix stringdtype issue
KevsterAmp Jun 26, 2025
8efb78d
Merge remote-tracking branch 'upstream/main' into pyarrow-timestamp-map
KevsterAmp Jun 26, 2025
a741e4b
Merge remote-tracking branch 'upstream' into pyarrow-timestamp-map
KevsterAmp Jul 9, 2025
38f375a
use self.dtype.kind to filter all datetimelike
KevsterAmp Jul 9, 2025
ecf2d31
fix tests
KevsterAmp Jul 9, 2025
ab84b92
fix self.dtype.kind filter
KevsterAmp Jul 9, 2025
d3d1c17
fix precommit
KevsterAmp Jul 9, 2025
a2e1c34
remove dtype=object to fix tests
KevsterAmp Jul 9, 2025
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8 changes: 7 additions & 1 deletion pandas/core/arrays/arrow/array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1478,7 +1478,13 @@ def to_numpy(
return result

def map(self, mapper, na_action: Literal["ignore"] | None = None):
if is_numeric_dtype(self.dtype):
if not is_string_dtype(self.dtype) and any(
[
is_numeric_dtype(self.dtype)
or pa.types.is_date(self.dtype.pyarrow_dtype)
or pa.types.is_timestamp(self.dtype.pyarrow_dtype)
]
):
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any idea why the super().map method isn't working correctly? If fixing things there is viable, that would be a better outcome

return map_array(self.to_numpy(), mapper, na_action=na_action)
else:
return super().map(mapper, na_action)
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