pandas dataframe multiple condition error with "The truth value of a Series is ambiguous"

Question

pandas version: '1.2.3', python version: 3.7.9

code:

   x = pd.DataFrame({'a':[1,2], 'b':[2,3]})
   x['a']>1 & x['b'] <= 2

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

this kind of usage seems common. pandas: multiple conditions while indexing data frame - unexpected behavior

thanks for help in advance.

Answer 1

If check linked answer difference is missing parentheses, because priority of operators, so add them:

mask = (x['a']>1) & (x['b'] <= 2)

df = x[mask]