将重复的行保存在多个数据框中

我想问你如何保存在不同的数据框中

我有以下两个数据集：

Account     Verified     Paid   Col1 Col2 Col3
1234        True        True     ...  ...  ...
1237        False       True    
1234        True        True
4211        True        True
1237        False       True
312         False       False

数据集2

Account          Verified   Paid   Col1 Col2 Col3
41                True      True    ... ... ...
314               False     False
41                True      True
65                False     False

To pass through all dataframes in my list, without replacing my df[i], and extract unique rows I used the following code:

filt = [] 
for i in range(0,1): 
    filt.append(df[i].groupby(list(df[I].Account)).agg('first').reset_index())

However, I would be also interested in passing through all dataframes in my list and, still not replacing my df, extract rows with duplicates. For example, in the example above, I should have a dataframe that includes accounts 1234 and 1237, and a dataframe that includes only 41.

如何获得这两个数据集？