1. def flatten_dict(data, sep='_', prefix=''):
  2. """
  3. Flattens a nested dictionary into a single-level dictionary.
  5. Args:
  6. data (dict): The nested dictionary to flatten.
  7. sep (str, optional): Separator for keys. Defaults to '_'.
  8. prefix (str, optional): Prefix for keys. Defaults to ''.
  10. Returns:
  11. dict: A flattened dictionary.
  12. """
  13. items = []
  14. for k, v in data.items():
  15. new_key = prefix + sep + k if prefix else k # Construct new key
  17. if isinstance(v, dict):
  18. items.extend(flatten_dict(v, sep=sep, prefix=new_key).items()) # Recursive call for nested dicts
  19. else:
  20. items.append((new_key, v)) # Add key-value pair
  22. return dict(items) # Convert list of tuples to dictionary
  25. if __name__ == '__main__':
  26. # Example usage
  27. nested_data = {
  28. 'name': 'John Doe',
  29. 'age': 30,
  30. 'address': {
  31. 'street': '123 Main St',
  32. 'city': 'Anytown',
  33. 'zip': '12345'
  34. },
  35. 'phone_numbers': [
  36. {'type': 'home', 'number': '555-1234'},
  37. {'type': 'work', 'number': '555-5678'}
  38. ]
  39. }
  41. flattened_data = flatten_dict(nested_data)
  42. print(flattened_data)

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