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df_strange = df[df['client_name_dil'].isin(['ТПЭМ', 'Аллес Гуте'])]
df_strange.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 2781 to 74472
Data columns (total 10 columns):
 #   Column                      Non-Null Count  Dtype         
---  ------                      --------------  -----         
 0   transaction_date            21 non-null     datetime64[ns]
 1   agent_inn_dil               21 non-null     float64       
 2   client_inn_dil              21 non-null     object        
 3   client_name_dil             21 non-null     object        
 4   client_name_GZPN            21 non-null     object        
 5   total_monthly_ton_dil       21 non-null     float64       
 6   MO_dealer_monthly_ton_GZPN  21 non-null     float64       
 7   KP_dealer_monthly_ton_GZPN  21 non-null     float64       
 8   okved_client                21 non-null     object        
 9   label                       21 non-null     object        
dtypes: datetime64[ns](1), float64(4), object(5)
memory usage: 1.8+ KB
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