Question: I wanted to change a value of a cell with the conditions of another cell value and used this code dfT.loc[dfT.state == "CANCELLED" & (dfT.Activity != "created"), "Activity"] = "cancelled" This is an Example Table:     ID Activity state     1 created CANCELLED   1 completed CANCELLED   2 created FINNISHED   2 completed FINISHED   3 created REJECTED   3 rejected REJECTED     and There is a Type Error like this: TypeError Traceback (most recent call last) ~\miniconda3\lib\site-packages\pandas\core\ops\array_ops.py in na_logical_op(x, y, op) 264 # (xint or xbool) and (yint or bool) --> 265 result = op(x, y) 266 except TypeError: ~\miniconda3\lib\site-packages\pandas\core\ops\roperator.py in rand_(left, right) 51 def rand_(left, right): ---> 52 return operator.and_(right, left) 53 TypeError: ufunc 'bitwise_and' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe'' During handling of the above exception, another exception occurred: ValueError Traceback (most recent call last) ~\miniconda3\lib\site-packages\pandas\core\ops\array_ops.py in na_logical_op(x, y, op) 278 try: --> 279 result = libops.scalar_binop(x, y, op) 280 except ( pandas\_libs\ops.pyx in pandas._libs.ops.scalar_binop() ValueError: Buffer dtype mismatch, expected 'Python object' but got 'bool' The above exception was the direct cause of the following exception: TypeError Traceback (most recent call last) <ipython-input-6-350c55a06fa7> in <module> 4 # dfT2 = dfT1[dfT1.Activity != 'created'] 5 # df.loc[(df.state == "CANCELLED") & (df.Activity != "created"), "Activity"] = "cancelled" ----> 6 dfT.loc[dfT.state == "CANCELLED" & (dfT.Activity != "created"), "Activity"] = "cancelled" 7 dfT ~\miniconda3\lib\site-packages\pandas\core\ops\common.py in new_method(self, other) 63 other = item_from_zerodim(other) 64 ---> 65 return method(self, other) 66 67 return new_method ~\miniconda3\lib\site-packages\pandas\core\arraylike.py in __rand__(self, other) 61 @unpack_zerodim_and_defer("__rand__") 62 def __rand__(self, other): ---> 63 return self._logical_method(other, roperator.rand_) 64 65 @unpack_zerodim_and_defer("__or__") ~\miniconda3\lib\site-packages\pandas\core\series.py in _logical_method(self, other, op) 4987 rvalues = extract_array(other, extract_numpy=True) 4988 -> 4989 res_values = ops.logical_op(lvalues, rvalues, op) 4990 return self._construct_result(res_values, name=res_name) 4991 ~\miniconda3\lib\site-packages\pandas\core\ops\array_ops.py in logical_op(left, right, op) 353 filler = fill_int if is_self_int_dtype and is_other_int_dtype else fill_bool 354 --> 355 res_values = na_logical_op(lvalues, rvalues, op) 356 # error: Cannot call function of unknown type 357 res_values = filler(res_values) # type: ignore[operator] ~\miniconda3\lib\site-packages\pandas\core\ops\array_ops.py in na_logical_op(x, y, op) 286 ) as err: 287 typ = type(y).__name__ --> 288 raise TypeError( 289 f"Cannot perform '{op.__name__}' with a dtyped [{x.dtype}] array " 290 f"and scalar of type [{typ}]"  If anyone understand what's my mistake is please help. Thanks in advance -Alde

Answer: You need to wrap your conditions inside () Use: dfT.loc[(dfT.state == "CANCELLED") & (dfT.Activity != "created"), "Activity"] = "cancelled"