pitrou commented on a change in pull request #11302:
URL: https://github.com/apache/arrow/pull/11302#discussion_r721539304
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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:
Hmm, it's a bit unfortunate for timestamps, but the decision there is
understandable: returning a `datetime.datetime` loses precision. Also,
`pandas.Timestamp` is probably API-compatible with `datetime.datetime`.
You don't lose any precision by returning a `MonthDayNano`.
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