jorisvandenbossche commented on code in PR #35944:
URL: https://github.com/apache/arrow/pull/35944#discussion_r1236995552
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python/pyarrow/tests/test_array.py:
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@@ -3347,6 +3347,17 @@ def test_to_pandas_timezone():
assert s.dt.tz is not None
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+def test_to_pandas_float16_list():
+ # https://github.com/apache/arrow/issues/36168
+ arr = pa.array([[np.float16(1)], [np.float16(2)], [np.float16(3)]])
+ s = arr.to_pandas()
+ assert s is not None
+ base_refcount = sys.getrefcount(s.values.base)
+ assert base_refcount == 2
Review Comment:
What's the reason for checking the ref count?
I think you can create the expected result using numpy: `expected =
np.array([1, 2, 3], dtype="float16")`, and then check that the result is the
same.
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