我希望有人能告诉我如何完成以下步骤：
我有以下数据框：
df = [{'Failed by Fraud' : 3, 'Failed by Bot': 7, 'Failed by Geography':4, 'Failed by Suspicious Activity' : 2, 'Impressions': 22, 'Clicks':12, 'Date': '24/07/2016', "ID": 34},]
我使用以下代码在Pandas中取消它：
pd.melt(df, id_vars=["Date", "Impressions", "Clicks", "ID"], var_name='Reason of Faiure', value_name='Failures')
结果如下：
Date Impressions Clicks ID Reason of Faiure Failures
0 24/07/2016 22 12 34 Failed by Bot 7
1 24/07/2016 22 12 34 Failed by Fraud 3
2 24/07/2016 22 12 34 Failed by Geography 4
3 24/07/2016 22 12 34 Failed by Suspicious Activity 2
但是，我想要的是以下结果：
Date Impressions Clicks ID Reason of Faiure Failures
0 24/07/2016 22 12 34 NaN NaN
1 24/07/2016 NaN NaN 34 Fraud 3
2 24/07/2016 NaN NaN 34 Geography 4
3 24/07/2016 NaN NaN 34 Suspicious Activity 2
4 24/07/2016 NaN NaN 34 Bot 3
这意味着，换句话说，添加1行，显示ID按当天收到的展示次数和点击次数，其中包含失败和失败原因的空值。另一方面，展示次数和点击次数为空值，但包含ID，失败原因和失败的值