如何跟踪两个数据帧中单个列的任何更改

Question

我有两个df，我想比较DF1和DF2中值的变化。我知道我需要合并这两个，这样我就可以将Status列排列起来，但是我也希望只输出状态有任何变化的ID。你知道吗

DF1型：

ID    Status 
1234  Cleared
5678  Validating
4321  Pending
8765  Cleared
9876  Blocked
6789  Blocked

DF2型：

ID    Status 
1234  Blocked
5678  Validating
4321  Pending
8765  Cleared
9876  Validating
6789  Blocked

输出：

 ID    Status1   Status2
    1234  Cleared   Blocked
    9876  Blocked   Validating

Answer 1

示例数据：

df1 = pd.DataFrame(['Cleared', 'Validating', 'Pending', 'Cleared', 'Blocked', 'Blocked'], index = [1234, 5678, 4321, 8765, 9876, 6789], columns=['Status'])
df1.index.name = 'ID'

df2 = pd.DataFrame(['Blocked', 'Validating', 'Pending', 'Cleared', 'Validating', 'Blocked'], index = [1234, 5678, 4321, 8765, 9876, 6789], columns = ['Status'])
df2.index.name = 'ID'

联接df1和df2为联接的数据帧上的列提供后缀

df = df1.join(df2, lsuffix='_1', rsuffix='_2')

然后使用布尔索引

df[df.Status_1 != df.Status_2]