TYP: annotate Block/BlockManager putmask

pandas/core/generic.py

@@ -8652,12 +8652,7 @@ def _where(
 
             self._check_inplace_setting(other)
             new_data = self._data.putmask(
-                mask=cond,
-                new=other,
-                align=align,
-                inplace=True,
-                axis=block_axis,
-                transpose=self._AXIS_REVERSED,
+                mask=cond, new=other, align=align, axis=block_axis,
             )
             self._update_inplace(new_data)
 

pandas/core/internals/blocks.py

@@ -910,25 +910,26 @@ def setitem(self, indexer, value):
 
     def putmask(
         self, mask, new, inplace: bool = False, axis: int = 0, transpose: bool = False,
-    ):
+    ) -> List["Block"]:
         """
         putmask the data to the block; it is possible that we may create a
         new dtype of block
 
-        return the resulting block(s)
+        Return the resulting block(s).
 
         Parameters
         ----------
-        mask  : the condition to respect
+        mask : the condition to respect
         new : a ndarray/object
-        inplace : perform inplace modification, default is False
+        inplace : bool, default False
+            Perform inplace modification.
         axis : int
-        transpose : boolean
-            Set to True if self is stored with axes reversed
+        transpose : bool, default False
+            Set to True if self is stored with axes reversed.
 
         Returns
         -------
-        a list of new blocks, the result of the putmask
+        List[Block]
         """
         new_values = self.values if inplace else self.values.copy()
 
@@ -1626,23 +1627,10 @@ def set(self, locs, values):
         self.values[:] = values
 
     def putmask(
-        self, mask, new, inplace=False, axis=0, transpose=False,
-    ):
+        self, mask, new, inplace: bool = False, axis: int = 0, transpose: bool = False,
+    ) -> List["Block"]:
         """
-        putmask the data to the block; we must be a single block and not
-        generate other blocks
-
-        return the resulting block
-
-        Parameters
-        ----------
-        mask  : the condition to respect
-        new : a ndarray/object
-        inplace : perform inplace modification, default is False
-
-        Returns
-        -------
-        a new block, the result of the putmask
+        See Block.putmask.__doc__
         """
         inplace = validate_bool_kwarg(inplace, "inplace")
 

pandas/core/internals/managers.py

@@ -558,14 +558,25 @@ def where(self, **kwargs) -> "BlockManager":
     def setitem(self, indexer, value) -> "BlockManager":
         return self.apply("setitem", indexer=indexer, value=value)
 
-    def putmask(self, **kwargs):
+    def putmask(
+        self, mask, new, align: bool = True, axis: int = 0,
+    ):
+        transpose = self.ndim == 2
 
-        if kwargs.pop("align", True):
+        if align:
             align_keys = ["new", "mask"]
         else:
             align_keys = ["mask"]
 
-        return self.apply("putmask", align_keys=align_keys, **kwargs)
+        return self.apply(
+            "putmask",
+            align_keys=align_keys,
+            mask=mask,
+            new=new,
+            inplace=True,
+            axis=axis,
+            transpose=transpose,
+        )
 
     def diff(self, n: int, axis: int) -> "BlockManager":
         return self.apply("diff", n=n, axis=axis)

pandas/core/series.py

@@ -2812,7 +2812,7 @@ def update(self, other) -> None:
         other = other.reindex_like(self)
         mask = notna(other)
 
-        self._data = self._data.putmask(mask=mask, new=other, inplace=True)
+        self._data = self._data.putmask(mask=mask, new=other)
         self._maybe_update_cacher()
 
     # ----------------------------------------------------------------------