PERF: Index._shallow_copy shares _cache with copies of self (pandas-d…

…ev#36840)

* PERF: Index.equals when comparing to copies of self

* refactor _shallow_copy, add GH number

* PERF: share _cache, don't share _id

* rename tests

* fix memory usage test

Co-authored-by: Jeff Reback <[email protected]>

doc/source/whatsnew/v1.2.0.rst

@@ -285,6 +285,8 @@ Performance improvements
 - ``Styler`` uuid method altered to compress data transmission over web whilst maintaining reasonably low table collision probability (:issue:`36345`)
 - Performance improvement in :meth:`pd.to_datetime` with non-ns time unit for ``float`` ``dtype`` columns (:issue:`20445`)
 - Performance improvement in setting values on a :class:`IntervalArray` (:issue:`36310`)
+- The internal index method :meth:`~Index._shallow_copy` now makes the new index and original index share cached attributes,
+  avoiding creating these again, if created on either. This can speed up operations that depend on creating copies of existing indexes (:issue:`36840`)
 - Performance improvement in :meth:`RollingGroupby.count` (:issue:`35625`)
 
 .. ---------------------------------------------------------------------------

pandas/core/indexes/base.py

@@ -561,12 +561,12 @@ def _shallow_copy(self, values=None, name: Label = no_default):
         name : Label, defaults to self.name
         """
         name = self.name if name is no_default else name
-        cache = self._cache.copy() if values is None else {}
-        if values is None:
-            values = self._values
 
-        result = self._simple_new(values, name=name)
-        result._cache = cache
+        if values is not None:
+            return self._simple_new(values, name=name)
+
+        result = self._simple_new(self._values, name=name)
+        result._cache = self._cache
         return result
 
     def is_(self, other) -> bool:

pandas/core/indexes/datetimelike.py

@@ -673,17 +673,15 @@ def _with_freq(self, freq):
 
     def _shallow_copy(self, values=None, name: Label = lib.no_default):
         name = self.name if name is lib.no_default else name
-        cache = self._cache.copy() if values is None else {}
 
-        if values is None:
-            values = self._data
-
-        if isinstance(values, np.ndarray):
+        if values is not None:
             # TODO: We would rather not get here
-            values = type(self._data)(values, dtype=self.dtype)
+            if isinstance(values, np.ndarray):
+                values = type(self._data)(values, dtype=self.dtype)
+            return self._simple_new(values, name=name)
 
-        result = type(self)._simple_new(values, name=name)
-        result._cache = cache
+        result = self._simple_new(self._data, name=name)
+        result._cache = self._cache
         return result
 
     # --------------------------------------------------------------------

pandas/core/indexes/interval.py

@@ -335,12 +335,12 @@ def _shallow_copy(
         self, values: Optional[IntervalArray] = None, name: Label = lib.no_default
     ):
         name = self.name if name is lib.no_default else name
-        cache = self._cache.copy() if values is None else {}
-        if values is None:
-            values = self._data
 
-        result = self._simple_new(values, name=name)
-        result._cache = cache
+        if values is not None:
+            return self._simple_new(values, name=name)
+
+        result = self._simple_new(self._data, name=name)
+        result._cache = self._cache
         return result
 
     @cache_readonly

pandas/core/indexes/period.py

@@ -260,12 +260,12 @@ def _has_complex_internals(self) -> bool:
 
     def _shallow_copy(self, values=None, name: Label = no_default):
         name = name if name is not no_default else self.name
-        cache = self._cache.copy() if values is None else {}
-        if values is None:
-            values = self._data
 
-        result = self._simple_new(values, name=name)
-        result._cache = cache
+        if values is not None:
+            return self._simple_new(values, name=name)
+
+        result = self._simple_new(self._data, name=name)
+        result._cache = self._cache
         return result
 
     def _maybe_convert_timedelta(self, other):

pandas/core/indexes/range.py

@@ -397,13 +397,13 @@ def __iter__(self):
     def _shallow_copy(self, values=None, name: Label = no_default):
         name = self.name if name is no_default else name
 
-        if values is None:
-            result = self._simple_new(self._range, name=name)
-            result._cache = self._cache.copy()
-            return result
-        else:
+        if values is not None:
             return Int64Index._simple_new(values, name=name)
 
+        result = self._simple_new(self._range, name=name)
+        result._cache = self._cache
+        return result
+
     @doc(Int64Index.copy)
     def copy(self, name=None, deep=False, dtype=None, names=None):
         name = self._validate_names(name=name, names=names, deep=deep)[0]

pandas/tests/base/test_misc.py

@@ -128,7 +128,8 @@ def test_memory_usage(index_or_series_obj):
     )
 
     if len(obj) == 0:
-        assert res_deep == res == 0
+        expected = 0 if isinstance(obj, Index) else 80
+        assert res_deep == res == expected
     elif is_object or is_categorical:
         # only deep will pick them up
         assert res_deep > res

pandas/tests/indexes/common.py

@@ -935,28 +935,22 @@ def test_contains_requires_hashable_raises(self):
         with pytest.raises(TypeError, match=msg):
             {} in idx._engine
 
-    def test_copy_copies_cache(self):
-        # GH32898
+    def test_copy_shares_cache(self):
+        # GH32898, GH36840
         idx = self.create_index()
         idx.get_loc(idx[0])  # populates the _cache.
         copy = idx.copy()
 
-        # check that the copied cache is a copy of the original
-        assert idx._cache == copy._cache
-        assert idx._cache is not copy._cache
-        # cache values should reference the same object
-        for key, val in idx._cache.items():
-            assert copy._cache[key] is val, key
+        assert copy._cache is idx._cache
 
-    def test_shallow_copy_copies_cache(self):
-        # GH32669
+    def test_shallow_copy_shares_cache(self):
+        # GH32669, GH36840
         idx = self.create_index()
         idx.get_loc(idx[0])  # populates the _cache.
         shallow_copy = idx._shallow_copy()
 
-        # check that the shallow_copied cache is a copy of the original
-        assert idx._cache == shallow_copy._cache
-        assert idx._cache is not shallow_copy._cache
-        # cache values should reference the same object
-        for key, val in idx._cache.items():
-            assert shallow_copy._cache[key] is val, key
+        assert shallow_copy._cache is idx._cache
+
+        shallow_copy = idx._shallow_copy(idx._data)
+        assert shallow_copy._cache is not idx._cache
+        assert shallow_copy._cache == {}