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我有一个包含各种列的数据集，如下所示:
折扣税总小计 productid 3.98 1.06 21.06 20 3232 3.98 1.06 21.06 20 3232 3.98 6 106 100 3498 3.98 6 106 100 3743 3.98 6 106 100 3350 3.98 6 106 100 3370 46.49 3.36 66.84 63 695
现在，我需要添加一个新列 Class 并根据以下条件为其分配值 0 或 1 :
if:
discount > 20%
no tax
total > 100
then the Class will 1
otherwise it should be 0
我在单一条件下完成了，但我不知道如何在多个条件下完成它。
这是我尝试过的:
df_full['Class'] = df_full['amount'].map(lambda x: 1 if x > 100 else 0)
I have taken a look at all other similar questions but couldn't find any solution for my problem.I have tried all of the above-mentioned posts but stuck on this error:
TypeError: '>' not supported between instances of 'str' and 'int'
这是第一个发布的答案，我已经尝试过:
df_full['class'] = np.where( ( (df_full['discount'] > 20) & (df_full['tax'] == 0 ) & (df_full['total'] > 100) & df_full['productdiscount'] ) , 1, 0)
