CLN: BlockManager.apply

pandas/core/generic.py

@@ -5664,7 +5664,7 @@ def _to_dict_of_blocks(self, copy=True):
             for k, v, in self._data.to_dict(copy=copy).items()
         }
 
-    def astype(self, dtype, copy=True, errors="raise"):
+    def astype(self, dtype, copy: bool_t = True, errors: str = "raise"):
         """
         Cast a pandas object to a specified dtype ``dtype``.
 
@@ -5790,10 +5790,10 @@ def astype(self, dtype, copy=True, errors="raise"):
         elif is_extension_array_dtype(dtype) and self.ndim > 1:
             # GH 18099/22869: columnwise conversion to extension dtype
             # GH 24704: use iloc to handle duplicate column names
-            results = (
+            results = [
                 self.iloc[:, i].astype(dtype, copy=copy)
                 for i in range(len(self.columns))
-            )
+            ]
 
         else:
             # else, only a single dtype is given

pandas/core/internals/blocks.py

@@ -523,16 +523,14 @@ def f(mask, val, idx):
 
         return self.split_and_operate(None, f, False)
 
-    def astype(self, dtype, copy=False, errors="raise", **kwargs):
-        return self._astype(dtype, copy=copy, errors=errors, **kwargs)
-
-    def _astype(self, dtype, copy=False, errors="raise", **kwargs):
-        """Coerce to the new type
+    def astype(self, dtype, copy: bool = False, errors: str = "raise"):
+        """
+        Coerce to the new dtype.
 
         Parameters
         ----------
         dtype : str, dtype convertible
-        copy : boolean, default False
+        copy : bool, default False
             copy if indicated
         errors : str, {'raise', 'ignore'}, default 'ignore'
             - ``raise`` : allow exceptions to be raised
@@ -2142,7 +2140,7 @@ def _maybe_coerce_values(self, values):
         assert isinstance(values, np.ndarray), type(values)
         return values
 
-    def _astype(self, dtype, **kwargs):
+    def astype(self, dtype, copy: bool = False, errors: str = "raise"):
         """
         these automatically copy, so copy=True has no effect
         raise on an except if raise == True
@@ -2158,7 +2156,7 @@ def _astype(self, dtype, **kwargs):
             return self.make_block(values)
 
         # delegate
-        return super()._astype(dtype=dtype, **kwargs)
+        return super().astype(dtype=dtype, copy=copy, errors=errors)
 
     def _can_hold_element(self, element: Any) -> bool:
         tipo = maybe_infer_dtype_type(element)

pandas/core/internals/managers.py

@@ -343,33 +343,20 @@ def _verify_integrity(self):
                 "tot_items: {1}".format(len(self.items), tot_items)
             )
 
-    def apply(
-        self,
-        f,
-        axes=None,
-        filter=None,
-        do_integrity_check=False,
-        consolidate=True,
-        **kwargs,
-    ):
+    def apply(self, f: str, filter=None, **kwargs):
         """
-        iterate over the blocks, collect and create a new block manager
+        Iterate over the blocks, collect and create a new BlockManager.
 
         Parameters
         ----------
-        f : the callable or function name to operate on at the block level
-        axes : optional (if not supplied, use self.axes)
+        f : str
+            Name of the Block method to apply.
         filter : list, if supplied, only call the block if the filter is in
                  the block
-        do_integrity_check : boolean, default False. Do the block manager
-            integrity check
-        consolidate: boolean, default True. Join together blocks having same
-            dtype
 
         Returns
         -------
-        Block Manager (new object)
-
+        BlockManager
         """
 
         result_blocks = []
@@ -383,8 +370,7 @@ def apply(
             else:
                 kwargs["filter"] = filter_locs
 
-        if consolidate:
-            self._consolidate_inplace()
+        self._consolidate_inplace()
 
         if f == "where":
             align_copy = True
@@ -432,10 +418,8 @@ def apply(
             result_blocks = _extend_blocks(applied, result_blocks)
 
         if len(result_blocks) == 0:
-            return self.make_empty(axes or self.axes)
-        bm = self.__class__(
-            result_blocks, axes or self.axes, do_integrity_check=do_integrity_check
-        )
+            return self.make_empty(self.axes)
+        bm = self.__class__(result_blocks, self.axes, do_integrity_check=False)
         bm._consolidate_inplace()
         return bm
 
@@ -543,8 +527,8 @@ def get_axe(block, qs, axes):
             [make_block(values, ndim=1, placement=np.arange(len(values)))], axes[0]
         )
 
-    def isna(self, func, **kwargs):
-        return self.apply("apply", func=func, **kwargs)
+    def isna(self, func):
+        return self.apply("apply", func=func)
 
     def where(self, **kwargs):
         return self.apply("where", **kwargs)
@@ -570,8 +554,8 @@ def fillna(self, **kwargs):
     def downcast(self, **kwargs):
         return self.apply("downcast", **kwargs)
 
-    def astype(self, dtype, **kwargs):
-        return self.apply("astype", dtype=dtype, **kwargs)
+    def astype(self, dtype, copy: bool = False, errors: str = "raise"):
+        return self.apply("astype", dtype=dtype, copy=copy, errors=errors)
 
     def convert(self, **kwargs):
         return self.apply("convert", **kwargs)
@@ -772,13 +756,15 @@ def copy(self, deep=True):
         # this preserves the notion of view copying of axes
         if deep:
             if deep == "all":
-                copy = lambda ax: ax.copy(deep=True)
+                copy_func = lambda ax: ax.copy(deep=True)
             else:
-                copy = lambda ax: ax.view()
-            new_axes = [copy(ax) for ax in self.axes]
+                copy_func = lambda ax: ax.view()
+            new_axes = [copy_func(ax) for ax in self.axes]
         else:
             new_axes = list(self.axes)
-        return self.apply("copy", axes=new_axes, deep=deep, do_integrity_check=False)
+        res = self.apply("copy", deep=deep)
+        res.axes = new_axes
+        return res
 
     def as_array(self, transpose=False, items=None):
         """Convert the blockmanager data into an numpy array.
@@ -1532,10 +1518,6 @@ def get_slice(self, slobj, axis=0):
     def index(self):
         return self.axes[0]
 
-    def convert(self, **kwargs):
-        """ convert the whole block as one """
-        return self.apply("convert", **kwargs)
-
     @property
     def dtype(self):
         return self._block.dtype