问题描述
我试图通过采用发电（gen）DataFrame和价格（futures）DataFrame的乘积来计算区域内每个河流系统发电的每月模拟收入。售电的价格取决于每个River的枢纽和销售月份-这就是为什么我试图在下面的代码中[Hub,Month]进行广播。
下面是gen的摘要：
Region River Hub Month ...
New England Androscoggin Nepool MH DA 1 50305.738281 ... 50527.941406
Deerfield Nepool MH DA 1 2043.922974 ... 2297.776611
Kennebec Nepool MH DA 1 78436.101562 ... 66156.820312
Penobscot Nepool MH DA 1 53613.738281 ... 46718.421875
Presumpscot Nepool MH DA 1 646.619629 ... 682.860779
... ... ... ...
Mid-America Kanawha PJM WH DA Off-Peak 12 34097.550781 ... 21648.300781
Mississippi PJM WH DA Off-Peak 12 49278.140625 ... 71329.171875
Susquehanna PJM WH DA Off-Peak 12 36522.550781 ... 153354.671875
Upper Mississippi PJM WH DA Off-Peak 12 9848.041016 ... 9884.068359
Wallenpaupack Creek PJM WH DA Off-Peak 12 0.000000 ... 1310.065430
这是futures的摘要：
Hub Month ...
Nepool MH DA 1 64.717211 64.854605 ... 65.159675 65.367022
2 61.904293 62.143657 ... 62.566991 62.563076
3 45.513588 45.492162 ... 45.599049 45.961659
4 32.884932 32.693203 ... 32.787984 33.035802
5 28.906349 28.656413 ... 28.816788 29.110809
6 29.721013 29.650988 ... 29.425435 29.896242
7 36.605705 36.356065 ... 36.337506 36.719773
8 34.960259 34.637148 ... 34.650311 34.970577
9 29.948827 29.450436 ... 29.900277 29.899362
10 29.247134 29.158457 ... 29.358135 29.413909
11 39.425486 39.323475 ... 39.462224 39.549663
12 55.967081 55.996455 ... 56.013643 56.127622
Nepool MH DA Off-Peak 1 56.514547 56.407154 ... 56.321693 56.417689
2 51.950248 52.246042 ... 52.262277 52.327896
3 37.469572 37.072221 ... 37.359739 37.622424
4 26.549083 26.439645 ... 26.553371 26.757820
5 23.030434 23.063147 ... 23.068969 23.162209
6 22.745016 22.680735 ... 22.767446 22.818645
7 26.550996 26.398359 ... 26.621345 26.636910
8 25.256438 25.143899 ... 25.278319 25.335403
9 22.540476 22.450051 ... 22.544338 22.517648
10 23.195924 23.057623 ... 23.195485 23.404703
11 32.541008 32.464413 ... 32.590006 32.547249
12 45.776718 45.962912 ... 46.021459 45.892296
PJM WH DA 1 43.951397 44.220676 ... 43.830352 44.381933
2 41.122077 41.185659 ... 40.617115 41.026146
3 34.215679 34.577651 ... 34.377483 34.621677
4 30.762057 30.832470 ... 30.836320 30.847625
5 30.854928 30.777034 ... 30.777888 30.894190
6 29.658685 29.689607 ... 29.708726 29.713017
7 34.903514 34.937120 ... 35.002471 34.871537
8 32.180070 32.134994 ... 32.082255 32.140432
9 31.172154 31.157204 ... 31.130319 31.291828
10 29.846900 30.069569 ... 30.021830 30.092272
11 30.953182 30.942870 ... 30.913149 31.053004
12 33.089883 33.183341 ... 33.130749 33.270012
PJM WH DA Off-Peak 1 34.682976 34.563583 ... 34.422801 34.799609
2 32.193573 32.104526 ... 32.263134 32.431760
3 27.218669 27.073391 ... 27.301811 27.335257
4 23.071031 22.939797 ... 23.095296 23.126599
5 22.076231 21.956663 ... 22.080024 22.079064
6 20.794862 20.696619 ... 20.834776 20.730026
7 22.602884 22.515470 ... 22.538780 22.581594
8 21.253178 21.227206 ... 21.156794 21.235621
9 21.338240 21.358370 ... 21.367224 21.302953
10 22.381787 22.199923 ... 22.286052 22.344770
11 22.623029 22.653064 ... 22.690571 22.596411
12 25.886652 26.132432 ... 26.138937 26.140636
在浏览了本网站上有关此主题的多个主题之后，这是我一直在尝试的代码：
revenue = gen.mul(other=futures.reindex(gen.index,axis=0,level=['Hub','Month']),axis=0)
哪个一直给我以下错误：
TypeError: Join on level between two MultiIndex objects is ambiguous
为什么？ gen为什么不简单地将[Hub,Month]中的[Hub,Month]与futures匹配？我在做什么错了？
感谢您的时间和善意的建议：）
revenue = gen.mul(other=futures.reindex(gen.index,method='ffill'),axis=0)
错误消失了，我现在得到NaN的中美洲资产：
Region River Hub Month ...
New England Androscoggin Nepool MH DA 1 2.359457e+06 ... 2.645743e+06
Deerfield Nepool MH DA 1 1.088841e+05 ... 1.141758e+05
Kennebec Nepool MH DA 1 2.517849e+06 ... 1.468011e+06
Penobscot Nepool MH DA 1 2.169091e+06 ... 1.323610e+06
Presumpscot Nepool MH DA 1 2.554929e+04 ... 3.092412e+04
... ... ... ...
Mid-America Kanawha PJM WH DA Off-Peak 12 NaN ... NaN
Mississippi PJM WH DA Off-Peak 12 NaN ... NaN
Susquehanna PJM WH DA Off-Peak 12 NaN ... NaN
Upper Mississippi PJM WH DA Off-Peak 12 NaN ... NaN
Wallenpaupack Creek PJM WH DA Off-Peak 12 NaN ... NaN
所以我的问题仍然存在：我在做什么错了？
谢谢！
解决方法
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