jorisvandenbossche commented on a change in pull request #7169:
URL: https://github.com/apache/arrow/pull/7169#discussion_r427351793
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File path: python/pyarrow/array.pxi
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@@ -549,6 +550,11 @@ cdef class _PandasConvertible:
Cast integers with nulls to objects
date_as_object : bool, default True
Cast dates to objects. If False, convert to datetime64[ns] dtype.
+ timestamp_as_object : bool, default False
+ Cast non-nanosecond timestamps (np.datetime64) to objects. This is
Review comment:
Hmm, yes, that's a good reason.
Personally I don't think that it being lossy is a problem (in the end, the
user would explicitly ask for it), but since this keyword applies to all
columns, it might indeed be useful to handle this case of mixed-unit columns a
bit more gracefully.
(this might also signal that a simple boolean flag is maybe not sufficient
for this keyword)
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