chat1

importFunction pandasOnlyContainsItems(arr() asAs pd
importVariant, itertools

item1

defAs generate_combinations(input_file,Variant, output_file):item2 As Variant) As Boolean
    #Dim Loaditem theAs CSV file into a pandas DataFrameVariant
    dfFor Each item In arr
        If item <> item1 And item <> item2 Then
            OnlyContainsItems = pd.read_csv(input_file)False
            Exit Function
        #End Drop any rows where all columns are emptyIf
    df.dropna(how='all',Next inplace=True)item
   
    # Gather unique non-empty entries in each column
    columns_dataOnlyContainsItems = [df[col].dropna().unique()True
End for col in df.columns]
    
    # Generate all possible combinations across columns
    combinations = list(itertools.product(*columns_data))
    
    # Create a new DataFrame from the combinations and write to CSV
    output_df = pd.DataFrame(combinations, columns=df.columns)
    output_df.to_csv(output_file, index=False)
    print(f"Combinations have been saved to {output_file}")Function

# Usage example:
generate_combinations('input.csv', 'output.csv')