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Dictionaries in Python are versatile data structures that allow for efficient storage and retrieval of key-value pairs. To facilitate various operations associated with dictionaries, Python provides a comprehensive set of methods. These methods enhance the functionality of dictionaries, enabling manipulation, access, and modification of their contents easily.
Here is a table summarizing some of the most commonly used dictionary methods along with their descriptions:
Method | Description | Time Complexity |
---|---|---|
dict.clear() | Removes all elements from the dictionary. | O(1) |
dict.copy() | Returns a shallow copy of the dictionary. | O(n) |
dict.fromkeys(seq, value) | Creates a new dictionary with keys from seq and values set to value . | O(n) |
dict.get(key, default=None) | Returns the value for key if key is in the dictionary, else default . | O(1) |
dict.items() | Returns a view of the dictionary's key-value pairs. | O(1) |
dict.keys() | Returns a view of the dictionary's keys. | O(1) |
dict.pop(key) | Removes the item with the specified key and returns its value. | O(1) |
dict.popitem() | Removes the last inserted key-value pair and returns it. | O(1) |
dict.setdefault(key, default=None) | Returns the value of key . Sets the value of key to default if key is not in dictionary. | O(1) |
dict.update(dict2) | Adds dictionary dict2 's key-values pairs to the dictionary. | O(n) |
dict.values() | Returns a view of the dictionary's values. | O(1) |
In this example, we will demonstrate the use of get
, update
, and clear
methods.
Explanation:
info.get('name')
retrieves the value associated with the key 'name'. If 'name' did not exist, it would return None
.info.update({'age': 29, 'phone': '123-456-7890'})
adds a new key-value pair ('phone') and updates the existing 'age' value in the dictionary.info.clear()
removes all items from the dictionary, leaving it empty.In this example, we will explore the use of pop
, items
, and fromkeys
methods.
Explanation:
dict.fromkeys(keys, default_value)
creates a new dictionary with keys from the list keys
and sets all of their values to default_value
.new_dict.pop('b')
removes the key 'b' from the dictionary and returns its value, which is displayed.new_dict.items()
returns a view of the dictionary's items, showing remaining key-value pairs.These examples illustrate the utility of dictionary methods in managing and manipulating dictionaries efficiently. Understanding these methods can greatly enhance your ability to work with data structures in Python.
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