import pandas as pd # Perform the merge on 'client_uuid' merged_df = pd.merge(df_30, df_34, on='client_uuid', how='inner') # Deduplicate client_uuid merged_df = merged_df.drop_duplicates(subset=['client_uuid']) # Select the required columns, organized as instructed result_df = merged_df[['source_country', 'client_uuid', 'tul_code', 'resized_at', 'current_limit']] result_df