CLN: Remove unnecessary copy keyword (#56420)

* CLN: Remove unnecessary copy keyword

* CLN: Remove unnecessary copy keyword

* Fixup

pandas/_testing/asserters.py

@@ -1206,8 +1206,8 @@ def assert_frame_equal(
 
     # compare by blocks
     if by_blocks:
-        rblocks = right._to_dict_of_blocks(copy=False)
-        lblocks = left._to_dict_of_blocks(copy=False)
+        rblocks = right._to_dict_of_blocks()
+        lblocks = left._to_dict_of_blocks()
         for dtype in list(set(list(lblocks.keys()) + list(rblocks.keys()))):
             assert dtype in lblocks
             assert dtype in rblocks

pandas/core/frame.py

@@ -12484,7 +12484,7 @@ def isin_(x):
     # ----------------------------------------------------------------------
     # Internal Interface Methods
 
-    def _to_dict_of_blocks(self, copy: bool = True):
+    def _to_dict_of_blocks(self):
         """
         Return a dict of dtype -> Constructor Types that
         each is a homogeneous dtype.
@@ -12496,7 +12496,7 @@ def _to_dict_of_blocks(self, copy: bool = True):
         mgr = cast(BlockManager, mgr_to_mgr(mgr, "block"))
         return {
             k: self._constructor_from_mgr(v, axes=v.axes).__finalize__(self)
-            for k, v, in mgr.to_dict(copy=copy).items()
+            for k, v, in mgr.to_dict().items()
         }
 
     @property

pandas/core/groupby/generic.py

@@ -2012,7 +2012,7 @@ def _get_data_to_aggregate(
             mgr = obj._mgr
 
         if numeric_only:
-            mgr = mgr.get_numeric_data(copy=False)
+            mgr = mgr.get_numeric_data()
         return mgr
 
     def _wrap_agged_manager(self, mgr: Manager2D) -> DataFrame:

pandas/core/internals/managers.py

@@ -495,17 +495,12 @@ def is_view(self) -> bool:
 
     def _get_data_subset(self, predicate: Callable) -> Self:
         blocks = [blk for blk in self.blocks if predicate(blk.values)]
-        return self._combine(blocks, copy=False)
+        return self._combine(blocks)
 
-    def get_bool_data(self, copy: bool = False) -> Self:
+    def get_bool_data(self) -> Self:
         """
         Select blocks that are bool-dtype and columns from object-dtype blocks
         that are all-bool.
-
-        Parameters
-        ----------
-        copy : bool, default False
-            Whether to copy the blocks
         """
 
         new_blocks = []
@@ -518,26 +513,16 @@ def get_bool_data(self, copy: bool = False) -> Self:
                 nbs = blk._split()
                 new_blocks.extend(nb for nb in nbs if nb.is_bool)
 
-        return self._combine(new_blocks, copy)
+        return self._combine(new_blocks)
 
-    def get_numeric_data(self, copy: bool = False) -> Self:
-        """
-        Parameters
-        ----------
-        copy : bool, default False
-            Whether to copy the blocks
-        """
+    def get_numeric_data(self) -> Self:
         numeric_blocks = [blk for blk in self.blocks if blk.is_numeric]
         if len(numeric_blocks) == len(self.blocks):
             # Avoid somewhat expensive _combine
-            if copy:
-                return self.copy(deep=True)
             return self
-        return self._combine(numeric_blocks, copy)
+        return self._combine(numeric_blocks)
 
-    def _combine(
-        self, blocks: list[Block], copy: bool = True, index: Index | None = None
-    ) -> Self:
+    def _combine(self, blocks: list[Block], index: Index | None = None) -> Self:
         """return a new manager with the blocks"""
         if len(blocks) == 0:
             if self.ndim == 2:
@@ -554,11 +539,8 @@ def _combine(
         inv_indexer = lib.get_reverse_indexer(indexer, self.shape[0])
 
         new_blocks: list[Block] = []
-        # TODO(CoW) we could optimize here if we know that the passed blocks
-        # are fully "owned" (eg created from an operation, not coming from
-        # an existing manager)
         for b in blocks:
-            nb = b.copy(deep=copy)
+            nb = b.copy(deep=False)
             nb.mgr_locs = BlockPlacement(inv_indexer[nb.mgr_locs.indexer])
             new_blocks.append(nb)
 
@@ -1636,14 +1618,10 @@ def unstack(self, unstacker, fill_value) -> BlockManager:
         bm = BlockManager(new_blocks, [new_columns, new_index], verify_integrity=False)
         return bm
 
-    def to_dict(self, copy: bool = True) -> dict[str, Self]:
+    def to_dict(self) -> dict[str, Self]:
         """
         Return a dict of str(dtype) -> BlockManager
 
-        Parameters
-        ----------
-        copy : bool, default True
-
         Returns
         -------
         values : a dict of dtype -> BlockManager
@@ -1654,7 +1632,7 @@ def to_dict(self, copy: bool = True) -> dict[str, Self]:
             bd.setdefault(str(b.dtype), []).append(b)
 
         # TODO(EA2D): the combine will be unnecessary with 2D EAs
-        return {dtype: self._combine(blocks, copy=copy) for dtype, blocks in bd.items()}
+        return {dtype: self._combine(blocks) for dtype, blocks in bd.items()}
 
     def as_array(
         self,
@@ -2034,9 +2012,9 @@ def array_values(self) -> ExtensionArray:
         """The array that Series.array returns"""
         return self._block.array_values
 
-    def get_numeric_data(self, copy: bool = False) -> Self:
+    def get_numeric_data(self) -> Self:
         if self._block.is_numeric:
-            return self.copy(deep=copy)
+            return self.copy(deep=False)
         return self.make_empty()
 
     @property

pandas/tests/frame/constructors/test_from_records.py

@@ -80,7 +80,7 @@ def test_from_records_sequencelike(self):
 
         # this is actually tricky to create the recordlike arrays and
         # have the dtypes be intact
-        blocks = df._to_dict_of_blocks(copy=False)
+        blocks = df._to_dict_of_blocks()
         tuples = []
         columns = []
         dtypes = []
@@ -169,7 +169,7 @@ def test_from_records_dictlike(self):
 
         # columns is in a different order here than the actual items iterated
         # from the dict
-        blocks = df._to_dict_of_blocks(copy=False)
+        blocks = df._to_dict_of_blocks()
         columns = []
         for b in blocks.values():
             columns.extend(b.columns)

pandas/tests/frame/methods/test_to_dict_of_blocks.py

@@ -14,22 +14,6 @@
 
 
 class TestToDictOfBlocks:
-    def test_copy_blocks(self, float_frame):
-        # GH#9607
-        df = DataFrame(float_frame, copy=True)
-        column = df.columns[0]
-
-        # use the default copy=True, change a column
-        _last_df = None
-        blocks = df._to_dict_of_blocks(copy=True)
-        for _df in blocks.values():
-            _last_df = _df
-            if column in _df:
-                _df.loc[:, column] = _df[column] + 1
-
-        # make sure we did not change the original DataFrame
-        assert _last_df is not None and not _last_df[column].equals(df[column])
-
     @pytest.mark.filterwarnings("ignore:Setting a value on a view:FutureWarning")
     def test_no_copy_blocks(self, float_frame, using_copy_on_write):
         # GH#9607
@@ -38,7 +22,7 @@ def test_no_copy_blocks(self, float_frame, using_copy_on_write):
 
         _last_df = None
         # use the copy=False, change a column
-        blocks = df._to_dict_of_blocks(copy=False)
+        blocks = df._to_dict_of_blocks()
         for _df in blocks.values():
             _last_df = _df
             if column in _df:

pandas/tests/internals/test_internals.py

@@ -790,24 +790,6 @@ def test_get_numeric_data(self, using_copy_on_write):
                 np.array([100.0, 200.0, 300.0]),
             )
 
-        numeric2 = mgr.get_numeric_data(copy=True)
-        tm.assert_index_equal(numeric.items, Index(["int", "float", "complex", "bool"]))
-        numeric2.iset(
-            numeric2.items.get_loc("float"),
-            np.array([1000.0, 2000.0, 3000.0]),
-            inplace=True,
-        )
-        if using_copy_on_write:
-            tm.assert_almost_equal(
-                mgr.iget(mgr.items.get_loc("float")).internal_values(),
-                np.array([1.0, 1.0, 1.0]),
-            )
-        else:
-            tm.assert_almost_equal(
-                mgr.iget(mgr.items.get_loc("float")).internal_values(),
-                np.array([100.0, 200.0, 300.0]),
-            )
-
     def test_get_bool_data(self, using_copy_on_write):
         mgr = create_mgr(
             "int: int; float: float; complex: complex;"
@@ -835,20 +817,6 @@ def test_get_bool_data(self, using_copy_on_write):
                 np.array([True, False, True]),
             )
 
-        # Check sharing
-        bools2 = mgr.get_bool_data(copy=True)
-        bools2.iset(0, np.array([False, True, False]))
-        if using_copy_on_write:
-            tm.assert_numpy_array_equal(
-                mgr.iget(mgr.items.get_loc("bool")).internal_values(),
-                np.array([True, True, True]),
-            )
-        else:
-            tm.assert_numpy_array_equal(
-                mgr.iget(mgr.items.get_loc("bool")).internal_values(),
-                np.array([True, False, True]),
-            )
-
     def test_unicode_repr_doesnt_raise(self):
         repr(create_mgr("b,\u05d0: object"))