fix DataFrame.transform doc issues

Author: topper-123

doc/source/user_guide/basics.rst

@@ -1130,7 +1130,7 @@ Passing a dict of functions will allow selective transforming per column.
 
 .. ipython:: python
 
-   tsdf.transform({"A": np.abs, "B": lambda x: x + 1})
+   tsdf.transform({"A": np.abs, "B": lambda x: x + 1}, series_ops_only=True)
 
 Passing a dict of lists will generate a MultiIndexed DataFrame with these
 selective transforms.

pandas/core/apply.py

@@ -235,6 +235,7 @@ def transform(self) -> DataFrame | Series:
         if not by_row:
             result = obj.apply(func, by_row=by_row, args=args, **kwargs)
         else:
+            print(func, isinstance(func, np.ufunc))
             # func is either str or callable
             func = cast(AggFuncTypeBase, func)
             try: