pd.TimedeltaIndex(["1H", "2H"]), None, TimedeltaArray._from_sequence(["1H", "2H"]), ), # Category (["a", "b"], "category", pd.Categorical(["a", "b"])), ( ["a", "b"], pd.CategoricalDtype(None, ordered=True), pd.Categorical(["a", "b"], ordered=True), ), # Interval ( [pd.Interval(1, 2), pd.Interval(3, 4)], "interval", IntervalArray.from_tuples([(1, 2), (3, 4)]), ), # Sparse ([0, 1], "Sparse[int64]", SparseArray([0, 1], dtype="int64")), # IntegerNA ([1, None], "Int16", integer_array([1, None], dtype="Int16")), (pd.Series([1, 2]), None, PandasArray(np.array([1, 2], dtype=np.int64))), # String (["a", None], "string", StringArray._from_sequence(["a", None])), (["a", None], pd.StringDtype(), StringArray._from_sequence(["a", None])), # Boolean ([True, None], "boolean", BooleanArray._from_sequence([True, None])), ([True, None], pd.BooleanDtype(), BooleanArray._from_sequence([True, None])), # Index (pd.Index([1, 2]), None, PandasArray(np.array([1, 2], dtype=np.int64))), # Series[EA] returns the EA
None, TimedeltaArray._from_sequence(["1H", "2H"]), ), # Category (["a", "b"], "category", pd.Categorical(["a", "b"])), ( ["a", "b"], pd.CategoricalDtype(None, ordered=True), pd.Categorical(["a", "b"], ordered=True), ), # Interval ( [pd.Interval(1, 2, "right"), pd.Interval(3, 4, "right")], "interval", IntervalArray.from_tuples([(1, 2), (3, 4)], "right"), ), # Sparse ([0, 1], "Sparse[int64]", SparseArray([0, 1], dtype="int64")), # IntegerNA ([1, None], "Int16", pd.array([1, None], dtype="Int16")), (pd.Series([1, 2]), None, PandasArray(np.array([1, 2], dtype=np.int64))), # String ( ["a", None], "string", pd.StringDtype().construct_array_type()._from_sequence(["a", None ]), ), (