Question:
How to check a dynamic path in a Python dictionary?

To check if a dynamic path exists in a Python dictionary, you can use a loop to traverse the dictionary and check each level of the path. Here's a code snippet demonstrating how to do this:


def check_path(dictionary, path):

    # Split the path into individual keys

    keys = path.split('.')

    

    # Start with the dictionary at the root level

    current_dict = dictionary

    

    # Traverse the dictionary using the keys

    for key in keys:

        if key in current_dict:

            current_dict = current_dict[key]

        else:

            return False  # Path does not exist

    

    return True  # Path exists


# Example dictionary

my_dict = {

    'person': {

        'name': 'John',

        'address': {

            'city': 'New York',

            'zip_code': '10001'

        }

    }

}


# Check if a dynamic path exists

path_to_check = 'person.address.city'

if check_path(my_dict, path_to_check):

    print(f"The path '{path_to_check}' exists in the dictionary.")

else:

    print(f"The path '{path_to_check}' does not exist in the dictionary.")


In this code:


The check_path function takes two arguments: the dictionary to search and the path to check.


The path is split into individual keys using path.split('.').


We start with the current_dict pointing to the root dictionary.


We iterate through each key in the keys list and check if it exists in the current_dict. If it does, we update current_dict to the nested dictionary associated with that key. If it doesn't exist at any level, we return False to indicate that the path does not exist.


If the loop completes without returning False, it means the entire path exists, and we return True to indicate that the path exists in the dictionary.


In the example provided, we check if the path 'person.address.city' exists in the my_dict dictionary, and it prints that the path exists because it matches the structure of the dictionary. You can use this code with different dictionaries and paths as needed.


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