BUG: DataFrame.drop raising TypeError when passing empty DatetimeIndex/list

doc/source/whatsnew/v1.0.0.rst

@@ -208,6 +208,7 @@ Other
 ^^^^^
 - Trying to set the ``display.precision``, ``display.max_rows`` or ``display.max_columns`` using :meth:`set_option` to anything but a ``None`` or a positive int will raise a ``ValueError`` (:issue:`23348`)
 - :meth:`DataFrame.to_csv` and :meth:`Series.to_csv` now support dicts as ``compression`` argument with key ``'method'`` being the compression method and others as additional compression options when the compression method is ``'zip'``. (:issue:`26023`)
+- Bug in :meth:`DataFrame.drop` when passing empty :meth:`DatetimeIndex` or `list`
 
 
 .. _whatsnew_1000.contributors:

pandas/core/generic.py

@@ -3915,6 +3915,8 @@ def drop(
 
         for axis, labels in axes.items():
             if labels is not None:
+                if is_list_like(labels) and not len(labels):
+                    continue
                 obj = obj._drop_axis(labels, axis, level=level, errors=errors)
 
         if inplace:

pandas/tests/frame/test_axis_select_reindex.py

@@ -117,6 +117,16 @@ def test_drop(self):
         df.drop(labels=df[df.b > 0].index, inplace=True)
         assert_frame_equal(df, expected)
 
+    def test_drop_empty_index(self):
+        # GH 27994
+        df_index = pd.DataFrame(
+            {"a": [0, 1]},
+            index=[pd.Timestamp("2019-01-01"), pd.Timestamp("2019-01-01")],
+        )
+        assert_frame_equal(df_index.drop([]), df_index)
+        assert_frame_equal(df_index.drop(np.array([])), df_index)
+        assert_frame_equal(df_index.drop(df_index[:0]), df_index)
+
     def test_drop_multiindex_not_lexsorted(self):
         # GH 11640