Python 如果列包含空值，则PANAS查询不起作用

我有一个包含空值的Pandas数据帧，我想用query来过滤它

data = {'Title': ['Title1', 'Title2', 'Title3', 'Title4'],
        'Subjects': ['Math; Science', 'English; Math', pd.NA, 'English']}

df_test = pd.DataFrame(data)

print(df_test)
#     Title       Subjects
# 0  Title1  Math; Science
# 1  Title2  English; Math
# 2  Title3           <NA>
# 3  Title4        English

该查询给出了一个错误:

df_test.query('Title.str.startswith("T") and Subjects.str.contains("Math")')

KeyError                                  Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/pandas/core/computation/scope.py in resolve(self, key, is_local)
    197             if self.has_resolvers:
--> 198                 return self.resolvers[key]
    199 

36 frames KeyError: 'Series_2_0xe00x4a0x2f0xf50x420x7a0x00x0'

During handling of the above exception, another exception occurred:

KeyError                                  Traceback (most recent call last)
KeyError: 'Series_2_0xe00x4a0x2f0xf50x420x7a0x00x0'

The above exception was the direct cause of the following exception:

UndefinedVariableError                    Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/pandas/core/computation/scope.py in resolve(self, key, is_local)
    209                 return self.temps[key]
    210             except KeyError as err:
--> 211                 raise UndefinedVariableError(key, is_local) from err
    212 
    213     def swapkey(self, old_key: str, new_key: str, new_value=None) -> None:

UndefinedVariableError: name 'Series_2_0xe00x4a0x2f0xf50x420x7a0x00x0' is not defined

与此查询相同:

df_test.query('Title.str.startswith("T") and Subjects.notna() and Subjects.str.contains("Math")')

这给了我想要的结果

df_test[df_test['Subjects'].notna()].query('Title.str.startswith("T") and Subjects.str.contains("Math")')
    Title   Subjects
0   Title1  Math; Science
1   Title2  English; Math

我想知道这是不是query个人的限制，或者我做错了什么.

pd.__version__
# '1.5.3'