diff --git a/pandas/core/indexes/interval.py b/pandas/core/indexes/interval.py
index 1c86235f9eaa1..8da6907750ac7 100644
--- a/pandas/core/indexes/interval.py
+++ b/pandas/core/indexes/interval.py
@@ -1055,7 +1055,7 @@ def equals(self, other) -> bool:
         if not isinstance(other, IntervalIndex):
             if not is_interval_dtype(other):
                 return False
-            other = Index(getattr(other, ".values", other))
+            other = Index(other)
 
         return (
             self.left.equals(other.left)
diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index 01b2c36e9adf3..1fce2594062d5 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -669,12 +669,6 @@ def is_numeric_mixed_type(self):
         self._consolidate_inplace()
         return all(block.is_numeric for block in self.blocks)
 
-    @property
-    def is_datelike_mixed_type(self):
-        # Warning, consolidation needs to get checked upstairs
-        self._consolidate_inplace()
-        return any(block.is_datelike for block in self.blocks)
-
     @property
     def any_extension_types(self):
         """Whether any of the blocks in this manager are extension blocks"""
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 33565bbedade6..01b68550391e6 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -701,7 +701,7 @@ def __array__(self, dtype=None) -> np.ndarray:
         Returns
         -------
         numpy.ndarray
-            The values in the series converted to a :class:`numpy.ndarary`
+            The values in the series converted to a :class:`numpy.ndarray`
             with the specified `dtype`.
 
         See Also
diff --git a/pandas/tests/frame/indexing/test_indexing.py b/pandas/tests/frame/indexing/test_indexing.py
index 40ecda7d74952..cbb9dd09bbede 100644
--- a/pandas/tests/frame/indexing/test_indexing.py
+++ b/pandas/tests/frame/indexing/test_indexing.py
@@ -2179,7 +2179,7 @@ def test_type_error_multiindex(self):
         dg = df.pivot_table(index="i", columns="c", values=["x", "y"])
 
         with pytest.raises(TypeError, match="is an invalid key"):
-            str(dg[:, 0])
+            dg[:, 0]
 
         index = Index(range(2), name="i")
         columns = MultiIndex(