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Python Filter Dictionary By Key

Last Updated : Mar 11, 2024

Python Filter Dictionary By Key

In this article we will show you the solution of python filter dictionary by key, you can specify a filtering condition using a function called lambda or a regular function to filter a dictionary by its keys.

This condition outlines the keys that you wish to be included in the filtered result.

After that, the filter() method loops through the dictionary's keys, applying the filtering condition to each key.

It then returns a fresh iterable object with just the keys that match the required criteria.

When you need to extract certain data or carry out actions on a subset of the dictionary's contents, filtering a dictionary by the key can be helpful.

It gives you a versatile way to manipulate dictionary contents by allowing you to process data selectively according to key-based criteria.

You may effectively extract and operate with the required subset of key-value pairs from a dictionary using Python's filter() method. Now move to the concept of python filter dictionary by key.

Step By Step Guide On Python Filter Dictionary By Key :-

# Dictionary containing key-value pairs
dictionary = {
    "talkerscode": "Python tutorials",
    "talkerstech": "Tech news",
    "talkersmoney": "Financial tips",
    "talkersreview": "Product reviews"
}
# Filtering condition
def filter_condition(key):
    return key.startswith("talkers")
# Filtering the dictionary by key
filtered_dict = dict(filter(lambda item: filter_condition(item[0]), dictionary.items()))
# Printing the filtered dictionary
print(filtered_dict)
  1. In the beginning, we have a dictionary called dictionary that has four key-value pairs.
  2. Each key denotes a subject matter linked with "talkers" followed by a single word, and the matching value denotes the material relevant to that subject matter.
  3. Using the filter_condition() function, we define a filtering condition to filter the dictionary by its keys.
  4. This condition determines whether a given key begins with the prefix "talkers" or not.
  5. This check is made with the aid of the startswith() function.
  6. The filter() function is then used to apply the filtering standards to the dictionary's elements.
  7. The filter() function calls for two arguments: an iterable item (in this case, dictionary.Objects()) and a filtering condition.
  8. Every key-fee pair within the dictionary is iterated over, and simplest the items that meet the filtering criterion are again as an iterable item.
  9. We utilise a lambda characteristic to feed each item (key-value pair) to the filter_condition() characteristic inside the filter out() feature.
  10. To observe the filtering criteria, the lambda feature takes an item and extracts its key (object[0]).
  11. The dict() method is then used to exchange the output of the filter() function again right into a dictionary.
  12. In this segment, a brand new dictionary is created and it's far limited to the important key-value pairs that glad the filtering standards.
  13. The variable filtered_dict is given the value of the filtered dictionary.
  14. The print() method is then used to print the filtered dictionary.
  15. The output will show all key-value pairs with keys beginning with "talkers" from the original dictionary.
  16. As a result, the filtered dictionary will only display the terms "talkerscode," "talkerstech," "talkersmoney," and "talkersreview" with their associated information.

Conclusion :-

As a result, we were able to understand the principle behind the Python filter dictionary by key.

We also discovered how effective it is to extract particular key-value combinations depending on filtering criteria by filtering a dictionary in Python by key.

We may selectively process data and produce a new dictionary that only contains the desired key-value pairs by combining the filter() method with a lambda function and a regular function.

I hope this article on python filter dictionary by key helps you and the steps and method mentioned above are easy to follow and implement.

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