[Python] Incorrect Traceback on pandas ValueError [duplicate]

I saw some unexpected behavior during a ValueError when using pandas. When incorrectly using and instead of & to provide a boolean argument to a pandas series in a loop, the traceback points at the wrong line. Posting as a heads up to anyone else that may be mislead in a more complex script than the example below but also curious as to the underlying cause? Maybe I'm missing something here..

import numpy as np
import pandas as pd

data = np.random.randint(0,10,size=(10,3))
columns=['A','B','C']
df = pd.DataFrame(data,columns=columns)

for i in range(0,len(df)):
a = df.loc[i,'A']
brange = df[(df['B'] > 0) and (df['B'] < 4)]


Traceback:

---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/var/folders/h0/nxt863516yb3cyz22ybjvvm80000gn/T/ipykernel_38164/2945067326.py in ?()
8 import numpy as np
9 import pandas as pd
---> 10
11 data = np.random.randint(0,10,size=(10,3))
12 columns=['A','B','C']
13 df = pd.DataFrame(data,columns=columns)

/opt/anaconda3/lib/python3.9/site-packages/pandas/core/generic.py in ?(self)
1517 @final
1518 def __nonzero__(self) -> NoReturn:
-> 1519 raise ValueError(
1520 f"The truth value of a {type(self).__name__} is ambiguous. "
1521 "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
1522 )

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().


pandas v. 2.1.4 python v. 3.9.18

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