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，题目在于两个if条件都必要用括号括起来，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，搜索到这个复兴# Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
上联有各种表明，末了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()) |
