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import pandas as pd
import itertools

def generate_combinations(input_file, output_file):
    # Load the CSV file into a pandas DataFrame
    df = pd.read_csv(input_file)
    
    # Drop any rows where all columns are empty
    df.dropna(how='all', inplace=True)
    
    # Gather unique non-empty entries in each column
    columns_data = [df[col].dropna().unique() 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}")

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