TST: Get tests to run and fix them to pass (pandas-dev#50636)

* updated tests

* updated assert_metadata_equivalent

* updated assert_metadata_equivalent and deleted exclude in YAML check-test-naming

* added comment

* move comment

Co-authored-by: Marco Edward Gorelli <[email protected]>

Author: 2 people

.pre-commit-config.yaml

@@ -443,6 +443,3 @@ repos:
         types: [python]
         files: ^pandas/tests
         language: python
-        exclude: |
-            (?x)
-            ^pandas/tests/generic/test_generic.py  # GH50380

pandas/_testing/asserters.py

@@ -1341,7 +1341,9 @@ def assert_indexing_slices_equivalent(ser: Series, l_slc: slice, i_slc: slice) -
         assert_series_equal(ser[l_slc], expected)
 
 
-def assert_metadata_equivalent(left, right) -> None:
+def assert_metadata_equivalent(
+    left: DataFrame | Series, right: DataFrame | Series | None = None
+) -> None:
     """
     Check that ._metadata attributes are equivalent.
     """

pandas/tests/generic/test_generic.py

@@ -50,7 +50,7 @@ def construct(box, shape, value=None, dtype=None, **kwargs):
     return box(arr, dtype=dtype, **kwargs)
 
 
-class Generic:
+class TestGeneric:
     @pytest.mark.parametrize(
         "func",
         [
@@ -66,7 +66,7 @@ def test_rename(self, frame_or_series, func):
 
         for axis in frame_or_series._AXIS_ORDERS:
             kwargs = {axis: idx}
-            obj = construct(4, **kwargs)
+            obj = construct(frame_or_series, 4, **kwargs)
 
             # rename a single axis
             result = obj.rename(**{axis: func})
@@ -83,21 +83,22 @@ def test_get_numeric_data(self, frame_or_series):
         }
 
         # get the numeric data
-        o = construct(n, **kwargs)
+        o = construct(frame_or_series, n, **kwargs)
         result = o._get_numeric_data()
         tm.assert_equal(result, o)
 
         # non-inclusion
         result = o._get_bool_data()
-        expected = construct(n, value="empty", **kwargs)
+        expected = construct(frame_or_series, n, value="empty", **kwargs)
         if isinstance(o, DataFrame):
             # preserve columns dtype
             expected.columns = o.columns[:0]
-        tm.assert_equal(result, expected)
+        # https://github.com/pandas-dev/pandas/issues/50862
+        tm.assert_equal(result.reset_index(drop=True), expected)
 
         # get the bool data
         arr = np.array([True, True, False, True])
-        o = construct(n, value=arr, **kwargs)
+        o = construct(frame_or_series, n, value=arr, **kwargs)
         result = o._get_numeric_data()
         tm.assert_equal(result, o)
 
@@ -160,7 +161,7 @@ def f(dtype):
 
         msg = (
             "compound dtypes are not implemented "
-            f"in the {frame_or_series.__name__} frame_or_series"
+            f"in the {frame_or_series.__name__} constructor"
         )
 
         with pytest.raises(NotImplementedError, match=msg):
@@ -257,7 +258,7 @@ def test_api_compat(self, func, frame_or_series):
         # GH 12021
         # compat for __name__, __qualname__
 
-        obj = (frame_or_series, 5)
+        obj = construct(frame_or_series, 5)
         f = getattr(obj, func)
         assert f.__name__ == func
         assert f.__qualname__.endswith(func)