Pandas - TypeError：无法使用 dtyped [bool] 数组和 [bool] 类型的标量执行“rand_”

Question

我想用另一个单元格值的条件更改一个单元格的值，并使用此代码dfT.loc[dfT.state == "CANCELLED" & (dfT.Activity != "created"), "Activity"] = "cancelled"

这是一个示例表：

ID	Activity	state
1	created	CANCELLED
1	completed	CANCELLED
2	created	FINNISHED
2	completed	FINISHED
3	created	REJECTED
3	rejected	REJECTED

并且有这样的类型错误：

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}]"

如果有人明白我的错误是什么，请帮忙。

提前致谢

-阿尔德

Answer 1

您需要将条件包装在 () 使用：

dfT.loc[(dfT.state == "CANCELLED") & (dfT.Activity != "created"), "Activity"] = "cancelled"