Account Verified Paid Col1 Col2 Col3 1234 True True ... ... ... 1237 False True 1234 True True 4211 True True 1237 False True 312 False False
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
1237, and a dataframe that includes only