Uncomment

pandas/tests/groupby/test_all_methods.py

@@ -18,44 +18,45 @@
 import pandas._testing as tm
 from pandas.tests.groupby import get_groupby_method_args
 
-# def test_multiindex_group_all_columns_when_empty(groupby_func):
-#     # GH 32464
-#     df = DataFrame({"a": [], "b": [], "c": []}).set_index(["a", "b", "c"])
-#     gb = df.groupby(["a", "b", "c"], group_keys=False)
-#     method = getattr(gb, groupby_func)
-#     args = get_groupby_method_args(groupby_func, df)
 
-#     warn = FutureWarning if groupby_func == "fillna" else None
-#     warn_msg = "DataFrameGroupBy.fillna is deprecated"
-#     with tm.assert_produces_warning(warn, match=warn_msg):
-#         result = method(*args).index
-#     expected = df.index
-#     tm.assert_index_equal(result, expected)
+def test_multiindex_group_all_columns_when_empty(groupby_func):
+    # GH 32464
+    df = DataFrame({"a": [], "b": [], "c": []}).set_index(["a", "b", "c"])
+    gb = df.groupby(["a", "b", "c"], group_keys=False)
+    method = getattr(gb, groupby_func)
+    args = get_groupby_method_args(groupby_func, df)
+
+    warn = FutureWarning if groupby_func == "fillna" else None
+    warn_msg = "DataFrameGroupBy.fillna is deprecated"
+    with tm.assert_produces_warning(warn, match=warn_msg):
+        result = method(*args).index
+    expected = df.index
+    tm.assert_index_equal(result, expected)
 
 
-# def test_duplicate_columns(request, groupby_func, as_index):
-#     # GH#50806
-#     if groupby_func == "corrwith":
-#         msg = "GH#50845 - corrwith fails when there are duplicate columns"
-#         request.applymarker(pytest.mark.xfail(reason=msg))
-#     df = DataFrame([[1, 3, 6], [1, 4, 7], [2, 5, 8]], columns=list("abb"))
-#     args = get_groupby_method_args(groupby_func, df)
-#     gb = df.groupby("a", as_index=as_index)
-#     warn = FutureWarning if groupby_func == "fillna" else None
-#     warn_msg = "DataFrameGroupBy.fillna is deprecated"
-#     with tm.assert_produces_warning(warn, match=warn_msg):
-#         result = getattr(gb, groupby_func)(*args)
+def test_duplicate_columns(request, groupby_func, as_index):
+    # GH#50806
+    if groupby_func == "corrwith":
+        msg = "GH#50845 - corrwith fails when there are duplicate columns"
+        request.applymarker(pytest.mark.xfail(reason=msg))
+    df = DataFrame([[1, 3, 6], [1, 4, 7], [2, 5, 8]], columns=list("abb"))
+    args = get_groupby_method_args(groupby_func, df)
+    gb = df.groupby("a", as_index=as_index)
+    warn = FutureWarning if groupby_func == "fillna" else None
+    warn_msg = "DataFrameGroupBy.fillna is deprecated"
+    with tm.assert_produces_warning(warn, match=warn_msg):
+        result = getattr(gb, groupby_func)(*args)
 
-#     expected_df = df.set_axis(["a", "b", "c"], axis=1)
-#     expected_args = get_groupby_method_args(groupby_func, expected_df)
-#     expected_gb = expected_df.groupby("a", as_index=as_index)
-#     warn = FutureWarning if groupby_func == "fillna" else None
-#     warn_msg = "DataFrameGroupBy.fillna is deprecated"
-#     with tm.assert_produces_warning(warn, match=warn_msg):
-#         expected = getattr(expected_gb, groupby_func)(*expected_args)
-#     if groupby_func not in ("size", "ngroup", "cumcount"):
-#         expected = expected.rename(columns={"c": "b"})
-#     tm.assert_equal(result, expected)
+    expected_df = df.set_axis(["a", "b", "c"], axis=1)
+    expected_args = get_groupby_method_args(groupby_func, expected_df)
+    expected_gb = expected_df.groupby("a", as_index=as_index)
+    warn = FutureWarning if groupby_func == "fillna" else None
+    warn_msg = "DataFrameGroupBy.fillna is deprecated"
+    with tm.assert_produces_warning(warn, match=warn_msg):
+        expected = getattr(expected_gb, groupby_func)(*expected_args)
+    if groupby_func not in ("size", "ngroup", "cumcount"):
+        expected = expected.rename(columns={"c": "b"})
+    tm.assert_equal(result, expected)
 
 
 @pytest.mark.parametrize(