REF: misplaced tests

pandas/tests/frame/methods/test_drop.py

@@ -0,0 +1,54 @@
+import numpy as np
+import pytest
+
+import pandas as pd
+import pandas._testing as tm
+
+
+@pytest.mark.parametrize(
+    "msg,labels,level",
+    [
+        (r"labels \[4\] not found in level", 4, "a"),
+        (r"labels \[7\] not found in level", 7, "b"),
+    ],
+)
+def test_drop_raise_exception_if_labels_not_in_level(msg, labels, level):
+    # GH 8594
+    mi = pd.MultiIndex.from_arrays([[1, 2, 3], [4, 5, 6]], names=["a", "b"])
+    s = pd.Series([10, 20, 30], index=mi)
+    df = pd.DataFrame([10, 20, 30], index=mi)
+
+    with pytest.raises(KeyError, match=msg):
+        s.drop(labels, level=level)
+    with pytest.raises(KeyError, match=msg):
+        df.drop(labels, level=level)
+
+
+@pytest.mark.parametrize("labels,level", [(4, "a"), (7, "b")])
+def test_drop_errors_ignore(labels, level):
+    # GH 8594
+    mi = pd.MultiIndex.from_arrays([[1, 2, 3], [4, 5, 6]], names=["a", "b"])
+    s = pd.Series([10, 20, 30], index=mi)
+    df = pd.DataFrame([10, 20, 30], index=mi)
+
+    expected_s = s.drop(labels, level=level, errors="ignore")
+    tm.assert_series_equal(s, expected_s)
+
+    expected_df = df.drop(labels, level=level, errors="ignore")
+    tm.assert_frame_equal(df, expected_df)
+
+
+def test_drop_with_non_unique_datetime_index_and_invalid_keys():
+    # GH 30399
+
+    # define dataframe with unique datetime index
+    df = pd.DataFrame(
+        np.random.randn(5, 3),
+        columns=["a", "b", "c"],
+        index=pd.date_range("2012", freq="H", periods=5),
+    )
+    # create dataframe with non-unique datetime index
+    df = df.iloc[[0, 2, 2, 3]].copy()
+
+    with pytest.raises(KeyError, match="not found in axis"):
+        df.drop(["a", "b"])  # Dropping with labels not exist in the index

pandas/tests/indexes/multi/test_drop.py

@@ -139,52 +139,3 @@ def test_drop_not_lexsorted():
     tm.assert_index_equal(lexsorted_mi, not_lexsorted_mi)
     with tm.assert_produces_warning(PerformanceWarning):
         tm.assert_index_equal(lexsorted_mi.drop("a"), not_lexsorted_mi.drop("a"))
-
-
-@pytest.mark.parametrize(
-    "msg,labels,level",
-    [
-        (r"labels \[4\] not found in level", 4, "a"),
-        (r"labels \[7\] not found in level", 7, "b"),
-    ],
-)
-def test_drop_raise_exception_if_labels_not_in_level(msg, labels, level):
-    # GH 8594
-    mi = MultiIndex.from_arrays([[1, 2, 3], [4, 5, 6]], names=["a", "b"])
-    s = pd.Series([10, 20, 30], index=mi)
-    df = pd.DataFrame([10, 20, 30], index=mi)
-
-    with pytest.raises(KeyError, match=msg):
-        s.drop(labels, level=level)
-    with pytest.raises(KeyError, match=msg):
-        df.drop(labels, level=level)
-
-
-@pytest.mark.parametrize("labels,level", [(4, "a"), (7, "b")])
-def test_drop_errors_ignore(labels, level):
-    # GH 8594
-    mi = MultiIndex.from_arrays([[1, 2, 3], [4, 5, 6]], names=["a", "b"])
-    s = pd.Series([10, 20, 30], index=mi)
-    df = pd.DataFrame([10, 20, 30], index=mi)
-
-    expected_s = s.drop(labels, level=level, errors="ignore")
-    tm.assert_series_equal(s, expected_s)
-
-    expected_df = df.drop(labels, level=level, errors="ignore")
-    tm.assert_frame_equal(df, expected_df)
-
-
-def test_drop_with_non_unique_datetime_index_and_invalid_keys():
-    # GH 30399
-
-    # define dataframe with unique datetime index
-    df = pd.DataFrame(
-        np.random.randn(5, 3),
-        columns=["a", "b", "c"],
-        index=pd.date_range("2012", freq="H", periods=5),
-    )
-    # create dataframe with non-unique datetime index
-    df = df.iloc[[0, 2, 2, 3]].copy()
-
-    with pytest.raises(KeyError, match="not found in axis"):
-        df.drop(["a", "b"])  # Dropping with labels not exist in the index