Fixed Issue No. #43755

Author: Varun270

pandas/core/arrays/sparse/array.py

@@ -280,7 +280,8 @@ class SparseArray(OpsMixin, PandasObject, ExtensionArray):
         3. ``data.dtype.fill_value`` if `fill_value` is None and `dtype`
            is not a ``SparseDtype`` and `data` is a ``SparseArray``.
 
-    kind : {'integer', 'block'}, default 'integer'
+    kind : str
+        Can be 'integer' or 'block', default is 'integer'.
         The type of storage for sparse locations.
 
         * 'block': Stores a `block` and `block_length` for each

pandas/core/frame.py

@@ -10563,7 +10563,7 @@ def isin(self, values) -> DataFrame:
 
         When ``values`` is a Series or DataFrame the index and column must
         match. Note that 'falcon' does not match based on the number of legs
-        in df2.
+        in other.
 
         >>> other = pd.DataFrame({'num_legs': [8, 2], 'num_wings': [0, 2]},
         ...                      index=['spider', 'falcon'])

pandas/core/tools/numeric.py

@@ -48,7 +48,8 @@ def to_numeric(arg, errors="raise", downcast=None):
         - If 'raise', then invalid parsing will raise an exception.
         - If 'coerce', then invalid parsing will be set as NaN.
         - If 'ignore', then invalid parsing will return the input.
-    downcast : {'integer', 'signed', 'unsigned', 'float'}, default None
+    downcast : str, default None
+        Can be 'integer', 'signed', 'unsigned', or 'float'.
         If not None, and if the data has been successfully cast to a
         numerical dtype (or if the data was numeric to begin with),
         downcast that resulting data to the smallest numerical dtype