import numpy as np import pytest import pandas as pd import pandas._testing as tm class TestSeriesSubclassing: @pytest.mark.parametrize( "idx_method, indexer, exp_data, exp_idx", [ ["loc", ["a", "b"], [1, 2], "ab"], ["iloc", [2, 3], [3, 4], "cd"], ], ) def test_indexing_sliced(self, idx_method, indexer, exp_data, exp_idx): s = tm.SubclassedSeries([1, 2, 3, 4], index=list("abcd")) res = getattr(s, idx_method)[indexer] exp = tm.SubclassedSeries(exp_data, index=list(exp_idx)) tm.assert_series_equal(res, exp) def test_to_frame(self): s = tm.SubclassedSeries([1, 2, 3, 4], index=list("abcd"), name="xxx") res = s.to_frame() exp = tm.SubclassedDataFrame({"xxx": [1, 2, 3, 4]}, index=list("abcd")) tm.assert_frame_equal(res, exp) def test_subclass_unstack(self): # GH 15564 s = tm.SubclassedSeries([1, 2, 3, 4], index=[list("aabb"), list("xyxy")]) res = s.unstack() exp = tm.SubclassedDataFrame({"x": [1, 3], "y": [2, 4]}, index=["a", "b"]) tm.assert_frame_equal(res, exp) def test_subclass_empty_repr(self): with tm.assert_produces_warning(FutureWarning): sub_series = tm.SubclassedSeries() assert "SubclassedSeries" in repr(sub_series) def test_asof(self): N = 3 rng = pd.date_range("1/1/1990", periods=N, freq="53s") s = tm.SubclassedSeries({"A": [np.nan, np.nan, np.nan]}, index=rng) result = s.asof(rng[-2:]) assert isinstance(result, tm.SubclassedSeries) def test_explode(self): s = tm.SubclassedSeries([[1, 2, 3], "foo", [], [3, 4]]) result = s.explode() assert isinstance(result, tm.SubclassedSeries) def test_equals(self): # https://github.com/pandas-dev/pandas/pull/34402 # allow subclass in both directions s1 = pd.Series([1, 2, 3]) s2 = tm.SubclassedSeries([1, 2, 3]) assert s1.equals(s2) assert s2.equals(s1)