我想要当前行中过去 12 个月数据的乘积。
Date Open
21/06/11 839.9
22/06/11 853.35
23/06/11 846.55
24/06/11 874.15
27/06/11 866.7
28/06/11 878.9
29/06/11 875.7
30/06/11 888.7
01/07/11 907
04/07/11 874.4
05/07/11 869.3
06/07/11 848.85
07/07/11 858
08/07/11 873
11/07/11 854
12/07/11 847.5
13/07/11 853.05
14/07/11 863.3
15/07/11 867.7
18/07/11 871.9
19/07/11 867.5
20/07/11 886
21/07/11 875.95
22/07/11 866
25/07/11 892
26/07/11 888.25
27/07/11 875
28/07/11 855
29/07/11 840
01/08/11 838
02/08/11 827.55
03/08/11 826.75
04/08/11 828
05/08/11 799.5
08/08/11 776.7
09/08/11 753
10/08/11 785.35
11/08/11 768.35
12/08/11 783
16/08/11 760
17/08/11 760.5
18/08/11 757.7
19/08/11 731.05
22/08/11 731
23/08/11 760.35
24/08/11 764
25/08/11 761.6
26/08/11 751
29/08/11 731.1
30/08/11 765
02/09/11 796.7
05/09/11 794.5
06/09/11 783.2
07/09/11 824
08/09/11 833.5
09/09/11 852.15
12/09/11 810.35
13/09/11 813.2
14/09/11 813.9
15/09/11 833
16/09/11 850
19/09/11 825
20/09/11 823
21/09/11 850.9
22/09/11 823.95
23/09/11 773.9
26/09/11 769.2
27/09/11 774
28/09/11 799.75
29/09/11 790.5
30/09/11 803.5
03/10/11 791.2
04/10/11 784
05/10/11 772.55
07/10/11 786.7
10/10/11 804.25
11/10/11 835
12/10/11 829.4
13/10/11 850
14/10/11 842
17/10/11 867
18/10/11 825
19/10/11 825.5
20/10/11 834.85
21/10/11 840
24/10/11 848
25/10/11 855
26/10/11 879
28/10/11 899.7
31/10/11 898
01/11/11 870.5
02/11/11 855
03/11/11 867.75
04/11/11 905
08/11/11 879
09/11/11 890.05
11/11/11 859
14/11/11 891.4
15/11/11 871
16/11/11 859.1
17/11/11 845.05
18/11/11 800.3
21/11/11 800
22/11/11 788.1
23/11/11 789.9
24/11/11 775
25/11/11 769.7
28/11/11 765
29/11/11 782
30/11/11 756.7
01/12/11 799
02/12/11 797
05/12/11 808.35
07/12/11 807
08/12/11 802
09/12/11 769.9
12/12/11 760.55
13/12/11 723.9
14/12/11 738
15/12/11 731.9
16/12/11 749
19/12/11 719.2
20/12/11 741.7
21/12/11 727
22/12/11 741.35
23/12/11 760
26/12/11 747.05
27/12/11 766
28/12/11 757.7
29/12/11 733.65
30/12/11 713
02/01/12 696.8
03/01/12 712.25
04/01/12 727.4
05/01/12 715
06/01/12 697.05
07/01/12 716.7
09/01/12 714.45
10/01/12 712
11/01/12 737.9
12/01/12 747.5
13/01/12 742
16/01/12 729.95
17/01/12 716
18/01/12 762
19/01/12 789
20/01/12 790
23/01/12 755.3
24/01/12 774.6
25/01/12 788.7
27/01/12 800
30/01/12 813.9
31/01/12 804.5
01/02/12 818.9
02/02/12 835
03/02/12 830
06/02/12 845.9
07/02/12 842
08/02/12 847
09/02/12 856.75
10/02/12 850.35
13/02/12 841.1
14/02/12 846.9
15/02/12 854.2
16/02/12 831
17/02/12 822.05
21/02/12 817.5
22/02/12 848
23/02/12 832
24/02/12 833.5
27/02/12 821.8
28/02/12 789.05
29/02/12 805.05
01/03/12 811.8
02/03/12 816.25
03/03/12 811
05/03/12 812.05
06/03/12 797
07/03/12 776.55
09/03/12 775.3
12/03/12 790
13/03/12 803.45
14/03/12 828
15/03/12 818
16/03/12 780
19/03/12 781
20/03/12 756.1
21/03/12 760
22/03/12 765.9
23/03/12 743.8
26/03/12 743.9
27/03/12 738
28/03/12 730
29/03/12 718
30/03/12 729.5
02/04/12 749.35
03/04/12 744.25
04/04/12 745
09/04/12 740.05
10/04/12 746
11/04/12 739
12/04/12 733.3
13/04/12 746.05
16/04/12 747.1
17/04/12 754.8
18/04/12 750
19/04/12 753.9
20/04/12 740.05
23/04/12 725.85
24/04/12 739
25/04/12 734.1
26/04/12 737.1
27/04/12 741.3
28/04/12 739.8
30/04/12 737.5
02/05/12 747.9
03/05/12 738.5
04/05/12 733.4
07/05/12 715
08/05/12 718
09/05/12 702
10/05/12 697.25
11/05/12 693
14/05/12 698
15/05/12 679
16/05/12 675
17/05/12 680.25
18/05/12 676.9
21/05/12 686.5
22/05/12 704.6
23/05/12 685.2
24/05/12 694
25/05/12 695
28/05/12 692
29/05/12 702.2
30/05/12 699.65
31/05/12 697
01/06/12 707.35
04/06/12 677
05/06/12 696
06/06/12 704.45
07/06/12 721.05
08/06/12 718
11/06/12 732.7
12/06/12 715
13/06/12 722.25
14/06/12 716
15/06/12 718.5
18/06/12 730.35
19/06/12 717
20/06/12 738
21/06/12 734
22/06/12 713.55
25/06/12 714.2
26/06/12 717.5
27/06/12 726.4
28/06/12 724.4
29/06/12 725.1
02/07/12 735.5
03/07/12 739.95
04/07/12 740
05/07/12 734.95
06/07/12 738
09/07/12 729
10/07/12 731.45
11/07/12 733.45
12/07/12 721.9
13/07/12 720
16/07/12 720
17/07/12 724.8
18/07/12 718
19/07/12 720.2
20/07/12 722.3
23/07/12 715
24/07/12 721
25/07/12 720.4
26/07/12 720.9
27/07/12 719
30/07/12 723
31/07/12 731.6
01/08/12 740.25
02/08/12 742.1
03/08/12 735
06/08/12 748.05
07/08/12 786.05
08/08/12 785.05
09/08/12 788.9
10/08/12 777.65
13/08/12 779.5
14/08/12 787.9
16/08/12 802.05
17/08/12 817.9
21/08/12 816
22/08/12 809.2
23/08/12 810.55
24/08/12 791.75
27/08/12 786
28/08/12 786.85
29/08/12 791
30/08/12 779.75
31/08/12 780
03/09/12 768
04/09/12 763.95
05/09/12 775.25
06/09/12 766.3
07/09/12 778.7
08/09/12 793.5
10/09/12 800
11/09/12 789.5
12/09/12 793.5
13/09/12 798.1
14/09/12 813
17/09/12 848.1
18/09/12 870.2
我尝试在这些线上使用一些东西，但没有找到解决方案:
df['val']= df['Open'].last('12M').transform('prod')
如何获得结果？
最佳答案
如果您只需要 df['Open'] 过去 12 个月值(value)的乘积，那么您可以执行以下操作:
import pandas as pd
df['Date'] = pd.to_datetime(df['Date'])
df.set_index(['Date'], inplace=True)
df.sort_index(inplace=True)
df.tail(12).prod()
这给了你
Open 2.843636e+34
dtype: float64
关于python - 如何使用 pandas 从当前行获取过去 12 个月的产品，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/49300042/