chat1

import csv
import itertools
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)
    
    # ReplaceDrop NaNany withrows anwhere all columns are empty string to treat empty cells as valid entries
    dfdf.dropna(how='all', = df.fillna('')inplace=True)
    
    # Generate a list ofGather unique values (including non-empty strings)entries forin each column
    columns_data = [df[col].dropna().unique() for col in df.columns]
    
    # Use itertools.product to getGenerate all possible combinations of values 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')