Placed the tests in the right location.

Signed-off-by: nbonnin <[email protected]>

Author: naomi172839

pandas/tests/frame/test_dtypes.py

@@ -980,6 +980,24 @@ def test_arg_for_errors_in_astype_dictlist(self):
 
         tm.assert_frame_equal(result, expected)
 
+    def test_astype_ignores_arg(self):
+        # 30324
+        df = pd.DataFrame({"a": [1, 2, 3]})
+        df_validation = pd.DataFrame({"a": [1, 2, 3]})
+
+        # Tests that a KeyError is raised when raise is explicitly declared
+        with pytest.raises(KeyError):
+            df.astype({"b": str}, errors="raise")
+
+        # Tests that a KeyError is raised when no argument is declared
+        with pytest.raises(KeyError):
+            df.astype({"b": str})
+
+        # Tests that no KeyError is thrown if ignore is true.
+        # Ensures there is no change to the initial DataFrame.
+        df.astype({"b": str}, errors="ignore")
+        tm.assert_frame_equal(df, df_validation)
+
     @pytest.mark.parametrize(
         "input_vals",
         [

pandas/tests/generic/test_generic.py

@@ -947,21 +947,3 @@ def test_axis_classmethods(self, box):
             assert obj._get_axis_number(v) == box._get_axis_number(v)
             assert obj._get_axis_name(v) == box._get_axis_name(v)
             assert obj._get_block_manager_axis(v) == box._get_block_manager_axis(v)
-
-    # Tests that the ignore keyword causes the intended functionality
-    def test_astype_ignores(self):
-        df = pd.DataFrame({"a": [1, 2, 3]})
-        df_validation = pd.DataFrame({"a": [1, 2, 3]})
-
-        # Tests that a KeyError is raised when raise is explicitly declared
-        with pytest.raises(KeyError):
-            df.astype({"b": str}, errors="raise")
-
-        # Tests that a KeyError is raised when no argument is declared
-        with pytest.raises(KeyError):
-            df.astype({"b": str})
-
-        # Tests that no KeyError is thrown if ignore is true.
-        # Ensures there is no change to the initial DataFrame.
-        df.astype({"b": str}, errors="ignore")
-        assert df.equals(df_validation)