def test_subclass_align(self): # GH 12983 df1 = tm.SubclassedDataFrame( {"a": [1, 3, 5], "b": [1, 3, 5]}, index=list("ACE") ) df2 = tm.SubclassedDataFrame( {"c": [1, 2, 4], "d": [1, 2, 4]}, index=list("ABD") ) res1, res2 = df1.align(df2, axis=0) exp1 = tm.SubclassedDataFrame( {"a": [1, np.nan, 3, np.nan, 5], "b": [1, np.nan, 3, np.nan, 5]}, index=list("ABCDE"), ) exp2 = tm.SubclassedDataFrame( {"c": [1, 2, np.nan, 4, np.nan], "d": [1, 2, np.nan, 4, np.nan]}, index=list("ABCDE"), ) assert isinstance(res1, tm.SubclassedDataFrame) tm.assert_frame_equal(res1, exp1) assert isinstance(res2, tm.SubclassedDataFrame) tm.assert_frame_equal(res2, exp2) res1, res2 = df1.a.align(df2.c) assert isinstance(res1, tm.SubclassedSeries) tm.assert_series_equal(res1, exp1.a) assert isinstance(res2, tm.SubclassedSeries) tm.assert_series_equal(res2, exp2.c)
def test_replace_list_method(self): # https://github.com/pandas-dev/pandas/pull/46018 df = tm.SubclassedDataFrame({"A": [0, 1, 2]}) result = df.replace([1, 2], method="ffill") expected = tm.SubclassedDataFrame({"A": [0, 0, 0]}) assert isinstance(result, tm.SubclassedDataFrame) tm.assert_frame_equal(result, expected)
def test_subclassed_wide_to_long(self): # GH 9762 np.random.seed(123) x = np.random.randn(3) df = tm.SubclassedDataFrame( { "A1970": {0: "a", 1: "b", 2: "c"}, "A1980": {0: "d", 1: "e", 2: "f"}, "B1970": {0: 2.5, 1: 1.2, 2: 0.7}, "B1980": {0: 3.2, 1: 1.3, 2: 0.1}, "X": dict(zip(range(3), x)), } ) df["id"] = df.index exp_data = { "X": x.tolist() + x.tolist(), "A": ["a", "b", "c", "d", "e", "f"], "B": [2.5, 1.2, 0.7, 3.2, 1.3, 0.1], "year": [1970, 1970, 1970, 1980, 1980, 1980], "id": [0, 1, 2, 0, 1, 2], } expected = tm.SubclassedDataFrame(exp_data) expected = expected.set_index(["id", "year"])[["X", "A", "B"]] long_frame = pd.wide_to_long(df, ["A", "B"], i="id", j="year") tm.assert_frame_equal(long_frame, expected)
def test_subclassed_count(self): df = tm.SubclassedDataFrame( { "Person": ["John", "Myla", "Lewis", "John", "Myla"], "Age": [24.0, np.nan, 21.0, 33, 26], "Single": [False, True, True, True, False], } ) result = df.count() assert isinstance(result, tm.SubclassedSeries) df = tm.SubclassedDataFrame({"A": [1, 0, 3], "B": [0, 5, 6], "C": [7, 8, 0]}) result = df.count() assert isinstance(result, tm.SubclassedSeries) df = tm.SubclassedDataFrame( [[10, 11, 12, 13], [20, 21, 22, 23], [30, 31, 32, 33], [40, 41, 42, 43]], index=MultiIndex.from_tuples( list(zip(list("AABB"), list("cdcd"))), names=["aaa", "ccc"] ), columns=MultiIndex.from_tuples( list(zip(list("WWXX"), list("yzyz"))), names=["www", "yyy"] ), ) result = df.count(level=1) assert isinstance(result, tm.SubclassedDataFrame) df = tm.SubclassedDataFrame() result = df.count() assert isinstance(result, tm.SubclassedSeries)
def test_subclass_pivot(self): # GH 15564 df = tm.SubclassedDataFrame({ "index": ["A", "B", "C", "C", "B", "A"], "columns": ["One", "One", "One", "Two", "Two", "Two"], "values": [1.0, 2.0, 3.0, 3.0, 2.0, 1.0], }) pivoted = df.pivot(index="index", columns="columns", values="values") expected = tm.SubclassedDataFrame({ "One": { "A": 1.0, "B": 2.0, "C": 3.0 }, "Two": { "A": 1.0, "B": 2.0, "C": 3.0 }, }) expected.index.name, expected.columns.name = "index", "columns" tm.assert_frame_equal(pivoted, expected)
def test_subclass_align_combinations(self): # GH 12983 df = tm.SubclassedDataFrame({"a": [1, 3, 5], "b": [1, 3, 5]}, index=list("ACE")) s = tm.SubclassedSeries([1, 2, 4], index=list("ABD"), name="x") # frame + series res1, res2 = df.align(s, axis=0) exp1 = tm.SubclassedDataFrame( {"a": [1, np.nan, 3, np.nan, 5], "b": [1, np.nan, 3, np.nan, 5]}, index=list("ABCDE"), ) # name is lost when exp2 = tm.SubclassedSeries( [1, 2, np.nan, 4, np.nan], index=list("ABCDE"), name="x" ) assert isinstance(res1, tm.SubclassedDataFrame) tm.assert_frame_equal(res1, exp1) assert isinstance(res2, tm.SubclassedSeries) tm.assert_series_equal(res2, exp2) # series + frame res1, res2 = s.align(df) assert isinstance(res1, tm.SubclassedSeries) tm.assert_series_equal(res1, exp2) assert isinstance(res2, tm.SubclassedDataFrame) tm.assert_frame_equal(res2, exp1)
def test_subclass_stack_multi(self): # GH 15564 df = tm.SubclassedDataFrame( [[10, 11, 12, 13], [20, 21, 22, 23], [30, 31, 32, 33], [40, 41, 42, 43]], index=MultiIndex.from_tuples(list(zip(list("AABB"), list("cdcd"))), names=["aaa", "ccc"]), columns=MultiIndex.from_tuples(list(zip(list("WWXX"), list("yzyz"))), names=["www", "yyy"]), ) exp = tm.SubclassedDataFrame( [ [10, 12], [11, 13], [20, 22], [21, 23], [30, 32], [31, 33], [40, 42], [41, 43], ], index=MultiIndex.from_tuples( list(zip(list("AAAABBBB"), list("ccddccdd"), list("yzyzyzyz"))), names=["aaa", "ccc", "yyy"], ), columns=Index(["W", "X"], name="www"), ) res = df.stack() tm.assert_frame_equal(res, exp) res = df.stack("yyy") tm.assert_frame_equal(res, exp) exp = tm.SubclassedDataFrame( [ [10, 11], [12, 13], [20, 21], [22, 23], [30, 31], [32, 33], [40, 41], [42, 43], ], index=MultiIndex.from_tuples( list(zip(list("AAAABBBB"), list("ccddccdd"), list("WXWXWXWX"))), names=["aaa", "ccc", "www"], ), columns=Index(["y", "z"], name="yyy"), ) res = df.stack("www") tm.assert_frame_equal(res, exp)
def test_duplicated(self): df = tm.SubclassedDataFrame({"A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9]}) result = df.duplicated() assert isinstance(result, tm.SubclassedSeries) df = tm.SubclassedDataFrame() result = df.duplicated() assert isinstance(result, tm.SubclassedSeries)
def test_subclassed_apply(self): # GH 19822 def check_row_subclass(row): assert isinstance(row, tm.SubclassedSeries) def stretch(row): if row["variable"] == "height": row["value"] += 0.5 return row df = tm.SubclassedDataFrame( [ ["John", "Doe", "height", 5.5], ["Mary", "Bo", "height", 6.0], ["John", "Doe", "weight", 130], ["Mary", "Bo", "weight", 150], ], columns=["first", "last", "variable", "value"], ) df.apply(lambda x: check_row_subclass(x)) df.apply(lambda x: check_row_subclass(x), axis=1) expected = tm.SubclassedDataFrame( [ ["John", "Doe", "height", 6.0], ["Mary", "Bo", "height", 6.5], ["John", "Doe", "weight", 130], ["Mary", "Bo", "weight", 150], ], columns=["first", "last", "variable", "value"], ) result = df.apply(lambda x: stretch(x), axis=1) assert isinstance(result, tm.SubclassedDataFrame) tm.assert_frame_equal(result, expected) expected = tm.SubclassedDataFrame([[1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3]]) result = df.apply(lambda x: tm.SubclassedSeries([1, 2, 3]), axis=1) assert isinstance(result, tm.SubclassedDataFrame) tm.assert_frame_equal(result, expected) result = df.apply(lambda x: [1, 2, 3], axis=1, result_type="expand") assert isinstance(result, tm.SubclassedDataFrame) tm.assert_frame_equal(result, expected) expected = tm.SubclassedSeries([[1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3]]) result = df.apply(lambda x: [1, 2, 3], axis=1) assert not isinstance(result, tm.SubclassedDataFrame) tm.assert_series_equal(result, expected)
def test_dot(self): df = tm.SubclassedDataFrame([[0, 1, -2, -1], [1, 1, 1, 1]]) s = tm.SubclassedSeries([1, 1, 2, 1]) result = df.dot(s) assert isinstance(result, tm.SubclassedSeries) df = tm.SubclassedDataFrame([[0, 1, -2, -1], [1, 1, 1, 1]]) s = tm.SubclassedDataFrame([1, 1, 2, 1]) result = df.dot(s) assert isinstance(result, tm.SubclassedDataFrame)
def test_corrwith(self): index = ["a", "b", "c", "d", "e"] columns = ["one", "two", "three", "four"] df1 = tm.SubclassedDataFrame( np.random.randn(5, 4), index=index, columns=columns ) df2 = tm.SubclassedDataFrame( np.random.randn(4, 4), index=index[:4], columns=columns ) correls = df1.corrwith(df2, axis=1, drop=True, method="kendall") assert isinstance(correls, (tm.SubclassedSeries))
def test_subclass_unstack_multi_mixed(self): # GH 15564 df = tm.SubclassedDataFrame( [ [10, 11, 12.0, 13.0], [20, 21, 22.0, 23.0], [30, 31, 32.0, 33.0], [40, 41, 42.0, 43.0], ], index=MultiIndex.from_tuples(list(zip(list("AABB"), list("cdcd"))), names=["aaa", "ccc"]), columns=MultiIndex.from_tuples(list(zip(list("WWXX"), list("yzyz"))), names=["www", "yyy"]), ) exp = tm.SubclassedDataFrame( [ [10, 20, 11, 21, 12.0, 22.0, 13.0, 23.0], [30, 40, 31, 41, 32.0, 42.0, 33.0, 43.0], ], index=Index(["A", "B"], name="aaa"), columns=MultiIndex.from_tuples( list(zip(list("WWWWXXXX"), list("yyzzyyzz"), list("cdcdcdcd"))), names=["www", "yyy", "ccc"], ), ) res = df.unstack() tm.assert_frame_equal(res, exp) res = df.unstack("ccc") tm.assert_frame_equal(res, exp) exp = tm.SubclassedDataFrame( [ [10, 30, 11, 31, 12.0, 32.0, 13.0, 33.0], [20, 40, 21, 41, 22.0, 42.0, 23.0, 43.0], ], index=Index(["c", "d"], name="ccc"), columns=MultiIndex.from_tuples( list(zip(list("WWWWXXXX"), list("yyzzyyzz"), list("ABABABAB"))), names=["www", "yyy", "aaa"], ), ) res = df.unstack("aaa") tm.assert_frame_equal(res, exp)
def test_groupby_preserves_metadata(): # GH-37343 custom_df = tm.SubclassedDataFrame({"a": [1, 2, 3], "b": [1, 1, 2], "c": [7, 8, 9]}) assert "testattr" in custom_df._metadata custom_df.testattr = "hello" for _, group_df in custom_df.groupby("c"): assert group_df.testattr == "hello"
def test_indexing_sliced(self): # GH 11559 df = tm.SubclassedDataFrame( {"X": [1, 2, 3], "Y": [4, 5, 6], "Z": [7, 8, 9]}, index=["a", "b", "c"] ) res = df.loc[:, "X"] exp = tm.SubclassedSeries([1, 2, 3], index=list("abc"), name="X") tm.assert_series_equal(res, exp) assert isinstance(res, tm.SubclassedSeries) res = df.iloc[:, 1] exp = tm.SubclassedSeries([4, 5, 6], index=list("abc"), name="Y") tm.assert_series_equal(res, exp) assert isinstance(res, tm.SubclassedSeries) res = df.loc[:, "Z"] exp = tm.SubclassedSeries([7, 8, 9], index=list("abc"), name="Z") tm.assert_series_equal(res, exp) assert isinstance(res, tm.SubclassedSeries) res = df.loc["a", :] exp = tm.SubclassedSeries([1, 4, 7], index=list("XYZ"), name="a") tm.assert_series_equal(res, exp) assert isinstance(res, tm.SubclassedSeries) res = df.iloc[1, :] exp = tm.SubclassedSeries([2, 5, 8], index=list("XYZ"), name="b") tm.assert_series_equal(res, exp) assert isinstance(res, tm.SubclassedSeries) res = df.loc["c", :] exp = tm.SubclassedSeries([3, 6, 9], index=list("XYZ"), name="c") tm.assert_series_equal(res, exp) assert isinstance(res, tm.SubclassedSeries)
def test_groupby_preserves_metadata(): # GH-37343 custom_df = tm.SubclassedDataFrame({"a": [1, 2, 3], "b": [1, 1, 2], "c": [7, 8, 9]}) assert "testattr" in custom_df._metadata custom_df.testattr = "hello" for _, group_df in custom_df.groupby("c"): assert group_df.testattr == "hello" # GH-45314 def func(group): assert isinstance(group, tm.SubclassedDataFrame) assert hasattr(group, "testattr") return group.testattr result = custom_df.groupby("c").apply(func) expected = tm.SubclassedSeries(["hello"] * 3, index=Index([7, 8, 9], name="c")) tm.assert_series_equal(result, expected) def func2(group): assert isinstance(group, tm.SubclassedSeries) assert hasattr(group, "testattr") return group.testattr custom_series = tm.SubclassedSeries([1, 2, 3]) custom_series.testattr = "hello" result = custom_series.groupby(custom_df["c"]).apply(func2) tm.assert_series_equal(result, expected) result = custom_series.groupby(custom_df["c"]).agg(func2) tm.assert_series_equal(result, expected)
def test_equals_subclass(self): # https://github.com/pandas-dev/pandas/pull/34402 # allow subclass in both directions df1 = DataFrame({"a": [1, 2, 3]}) df2 = tm.SubclassedDataFrame({"a": [1, 2, 3]}) assert df1.equals(df2) assert df2.equals(df1)
def test_isin(self): df = tm.SubclassedDataFrame( {"num_legs": [2, 4], "num_wings": [2, 0]}, index=["falcon", "dog"] ) result = df.isin([0, 2]) assert isinstance(result, tm.SubclassedDataFrame)
def test_memory_usage(self): df = tm.SubclassedDataFrame({"A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9]}) result = df.memory_usage() assert isinstance(result, tm.SubclassedSeries) result = df.memory_usage(index=False) assert isinstance(result, tm.SubclassedSeries)
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_convert_dtypes_preserves_subclass(self, gpd_style_subclass_df): # GH 43668 df = tm.SubclassedDataFrame({"A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9]}) result = df.convert_dtypes() assert isinstance(result, tm.SubclassedDataFrame) result = gpd_style_subclass_df.convert_dtypes() assert isinstance(result, type(gpd_style_subclass_df))
def test_idx(self, idx_method): df = tm.SubclassedDataFrame({ "A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9] }) result = getattr(df, idx_method)() assert isinstance(result, tm.SubclassedSeries)
def test_subclassed_reductions(self, all_reductions): # GH 25596 df = tm.SubclassedDataFrame({ "A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9] }) result = getattr(df, all_reductions)() assert isinstance(result, tm.SubclassedSeries)
def test_idxmax_preserves_subclass(self): # GH 28330 df = tm.SubclassedDataFrame({ "A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9] }) result = df.idxmax() assert isinstance(result, tm.SubclassedSeries)
def test_astype_preserves_subclass(self): # GH#40810 df = tm.SubclassedDataFrame({ "A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9] }) result = df.astype({"A": np.int64, "B": np.int32, "C": np.float64}) assert isinstance(result, tm.SubclassedDataFrame)
def test_subclassed_melt(self): # GH 15564 cheese = tm.SubclassedDataFrame({ "first": ["John", "Mary"], "last": ["Doe", "Bo"], "height": [5.5, 6.0], "weight": [130, 150], }) melted = pd.melt(cheese, id_vars=["first", "last"]) expected = tm.SubclassedDataFrame( [ ["John", "Doe", "height", 5.5], ["Mary", "Bo", "height", 6.0], ["John", "Doe", "weight", 130], ["Mary", "Bo", "weight", 150], ], columns=["first", "last", "variable", "value"], ) tm.assert_frame_equal(melted, expected)
def test_subclass_unstack(self): # GH 15564 df = tm.SubclassedDataFrame( [[1, 2, 3], [4, 5, 6], [7, 8, 9]], index=["a", "b", "c"], columns=["X", "Y", "Z"], ) res = df.unstack() exp = tm.SubclassedSeries( [1, 4, 7, 2, 5, 8, 3, 6, 9], index=[list("XXXYYYZZZ"), list("abcabcabc")] ) tm.assert_series_equal(res, exp)
def test_subclass_stack(self): # GH 15564 df = tm.SubclassedDataFrame( [[1, 2, 3], [4, 5, 6], [7, 8, 9]], index=["a", "b", "c"], columns=["X", "Y", "Z"], ) res = df.stack() exp = tm.SubclassedSeries( [1, 2, 3, 4, 5, 6, 7, 8, 9], index=[list("aaabbbccc"), list("XYZXYZXYZ")] ) tm.assert_series_equal(res, exp)
def test_supported_for_subclass_dataframe(self): data = {"a": [1, 2], "b": [3, 4]} sdf = tm.SubclassedDataFrame(data, dtype=np.intp) expected = DataFrame(data, dtype=np.intp) with ensure_clean_path("temp.h5") as path: sdf.to_hdf(path, "df") result = read_hdf(path, "df") tm.assert_frame_equal(result, expected) with ensure_clean_path("temp.h5") as path: with HDFStore(path) as store: store.put("df", sdf) result = read_hdf(path, "df") tm.assert_frame_equal(result, expected)
def test_dataframe_metadata(self): df = tm.SubclassedDataFrame( {"X": [1, 2, 3], "Y": [1, 2, 3]}, index=["a", "b", "c"] ) df.testattr = "XXX" assert df.testattr == "XXX" assert df[["X"]].testattr == "XXX" assert df.loc[["a", "b"], :].testattr == "XXX" assert df.iloc[[0, 1], :].testattr == "XXX" # see gh-9776 assert df.iloc[0:1, :].testattr == "XXX" # see gh-10553 unpickled = tm.round_trip_pickle(df) tm.assert_frame_equal(df, unpickled) assert df._metadata == unpickled._metadata assert df.testattr == unpickled.testattr
def test_asof(self): N = 3 rng = pd.date_range("1/1/1990", periods=N, freq="53s") df = tm.SubclassedDataFrame( { "A": [np.nan, np.nan, np.nan], "B": [np.nan, np.nan, np.nan], "C": [np.nan, np.nan, np.nan], }, index=rng, ) result = df.asof(rng[-2:]) assert isinstance(result, tm.SubclassedDataFrame) result = df.asof(rng[-2]) assert isinstance(result, tm.SubclassedSeries) result = df.asof("1989-12-31") assert isinstance(result, tm.SubclassedSeries)