jorisvandenbossche commented on a change in pull request #11302:
URL: https://github.com/apache/arrow/pull/11302#discussion_r723034268
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File path: python/pyarrow/scalar.pxi
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@@ -514,6 +514,32 @@ cdef class DurationScalar(Scalar):
return datetime.timedelta(microseconds=sp.value // 1000)
+cdef class MonthDayNanoIntervalScalar(Scalar):
+ """
+ Concrete class for month, day, nanosecond scalars.
+ """
+
+ @property
+ def value(self):
+ """
+ Returns this value pyarrow.MonthDayNanoTuple.
+ """
+ cdef PyObject* val
+ val = GetResultValue(ARROW_TO_PYTHON.ToPrimitive(
+ (deref(self.wrapped.get()))))
+ return PyObject_to_object(val)
+
+ def as_py(self):
+ """
+ Return this value as a Pandas DateOffset instance if Pandas is present
+ otherwise as a named tuple containing months days and nanoseconds.
Review comment:
Yes, I also agree returning a consistent type here is best (for
Timestamp there is the complication of datetime.datetime not supporting
nanoseconds ..). As Weston mentions, we can see later if we want to add some
option to get a more pandas native object.
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