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Python错误提示：TypeError: ufunc 'bitwise_or' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

错误代码：

df['new_col'] = df.apply(lambda x: 0 if df['a'] == 0 | df['b'] == 0)

搜索之后，问题在于两个if条件都需要用括号括起来，修改如下：

df['new_col'] = df.apply(lambda x: 0 if (df['a'] == 0) | (df['b'] == 0))

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

继续修改，搜索到这个回答# Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()

上联有各种解释，最后根据情况需求选择了一种方案，修改如下：

df['new_col'] = df.apply(lambda x: 0 if (df['a'] == 0).any() | (df['b'] == 0).any())