jorisvandenbossche commented on code in PR #14238:
URL: https://github.com/apache/arrow/pull/14238#discussion_r983362684
##########
python/pyarrow/tests/test_extension_type.py:
##########
@@ -925,3 +925,28 @@ def test_empty_take():
result = empty_arr.take(pa.array([], pa.int32()))
assert len(result) == 0
assert result.equals(empty_arr)
+
+
+class LabelType(pa.ExtensionType):
+
+ def __init__(self):
+ super(LabelType, self).__init__(pa.string(), "label")
+
+ def __arrow_ext_serialize__(self):
+ return b""
+
+ @classmethod
+ def __arrow_ext_deserialize__(cls, storage_type, serialized):
+ return LabelType()
+
[email protected]("data,ty", (
+ ([1, 2, 3], IntegerType),
+ (["cat", "dog", "horse"], LabelType)
+))
+def test_extension_array_to_numpy(data, ty):
+ storage = pa.array(data)
+ ext_arr = pa.ExtensionArray.from_storage(ty(), storage)
+ offsets = pa.array([0, 1])
+ list_arr = pa.ListArray.from_arrays(offsets, ext_arr)
+ list_arr.to_numpy(zero_copy_only=False)
Review Comment:
Can you also test `to_pandas()` in addition to `to_numpy` ?
(and maybe also verify the result, you could construct the expected result
from a ListArray with the storage type instead of extension type)
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