我的数据框如下
Date Open High Low Close Volume Open Interest ContractYear Commodity Month_Code ContractMonth Filename CY
292715 03/04/1968 8.99 8.99 8.99 8.99 0 1 1969 ZL F 1 ZL1969F 1968
292716 03/05/1968 9.02 9.02 8.96 8.96 1 2 1969 ZL F 1 ZL1969F 1968
292717 03/06/1968 8.99 8.99 8.99 8.99 0 2 1969 ZL F 1 ZL1969F 1968
292718 03/07/1968 9.01 9.01 9.01 9.01 0 2 1969 ZL F 1 ZL1969F 1968
292719 03/08/1968 9.03 9.04 9.03 9.04 1 3 1969 ZL F 1 ZL1969F 1968
292720 03/11/1968 9.03 9.04 9.01 9.01 9 10 1969 ZL F 1 ZL1969F 1968
292721 03/12/1968 9.01 9.01 9.01 9.01 0 10 1969 ZL F 1 ZL1969F 1968
292722 03/13/1968 9.00 9.00 9.00 9.00 0 10 1969 ZL F 1 ZL1969F 1968
292723 03/14/1968 9.03 9.03 9.03 9.03 1 11 1969 ZL F 1 ZL1969F 1968
292724 03/15/1968 8.97 9.01 8.97 9.01 1 12 1969 ZL F 1 ZL1969F 1968
我正在尝试从数据框中提取值并将其合并，如下所示：
df1 = df[(df.Commodity == c) & (df.ContractMonth == n)]
df2 = df[(df.Commodity == c) & (df.ContractMonth == f) & (df.ContractYear == (df.ContractYear) +1)]
tempdf = pd.merge(df1, df2, how = 'inner', on = 'Date')
对于df2，我尝试将过滤器值偏移1或下一年。上面的代码/逻辑似乎不起作用。任何帮助将不胜感激。
答案 0 :(得分：0)
使用shift，它会创建一个新的序列，该序列会偏移给定的行数：
df2 = df[(df.Commodity == c) & (df.ContractMonth == f) & (df.ContractYear == (df.ContractYear.shift(-1))]