在条件为:序列的真值不明确的情况下,将函数应用于每一行

df = pd.DataFrame({'id': [1,2,3],
                   'img': ['x',0,'x']
                 })

def details(id):

    return 2

df['new_col'] = df['img'].apply(lambda x: details(x['id']) if x == 0 else x, axis=1)

我只想将函数应用于行,其中单元格值==0。当我运行上述行时,我得到以下错误:

   ~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py in __nonzero__(self)
   1327 
   1328     def __nonzero__(self):
-> 1329         raise ValueError(
   1330             f"The truth value of a {type(self).__name__} is ambiguous. "
   1331             "Use a.empty, a.bool(), a.item(), a.any() or a.all()."

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