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Question

我有以下数据：

product Sales_band  Hour_id sales
prod_1  HIGH           1    200
prod_1  HIGH           3    100
prod_1  HIGH           4    300
prod_1  VERY HIGH      2    100
prod_1  VERY HIGH      5    253
prod_1  VERY HIGH      6    234

想根据小时数值添加行。hour_id变量的取值范围为1到10。因此，上面相同的数据将在小时ID缺失的地方展开。虚拟输出是：（sales=0，当缺少小时id）

^{pr2}$

如何使用python数据帧实现这一点。在

Answer 1

将^{}与^{}一起使用：

print (df.groupby(['product','Sales_band'])['Hour_id','sales']
         .apply(lambda x: x.set_index('Hour_id').reindex(range(1, 11), fill_value=0))
         .reset_index())

   product Sales_band  Hour_id  sales
0   prod_1       HIGH        1    200
1   prod_1       HIGH        2      0
2   prod_1       HIGH        3    100
3   prod_1       HIGH        4    300
4   prod_1       HIGH        5      0
5   prod_1       HIGH        6      0
6   prod_1       HIGH        7      0
7   prod_1       HIGH        8      0
8   prod_1       HIGH        9      0
9   prod_1       HIGH       10      0
10  prod_1  VERY HIGH        1      0
11  prod_1  VERY HIGH        2    100
12  prod_1  VERY HIGH        3      0
13  prod_1  VERY HIGH        4      0
14  prod_1  VERY HIGH        5    253
15  prod_1  VERY HIGH        6    234
16  prod_1  VERY HIGH        7      0
17  prod_1  VERY HIGH        8      0
18  prod_1  VERY HIGH        9      0
19  prod_1  VERY HIGH       10      0