How to Use Hash Map In Python

Avatar

By squashlabs, Last Updated: November 2, 2023

How to Use Hash Map In Python

Using Hash Maps in Python

A hash map, also known as a hash table or dictionary, is a data structure that allows for efficient storage and retrieval of key-value pairs. In Python, hash maps can be implemented using the built-in dict class. Here, we will explore how to use hash maps in Python and cover best practices and examples.

Creating a Hash Map

To create a hash map in Python, you can simply initialize an empty dictionary using curly braces {} or by using the dict() constructor. Here are a few examples:

# Method 1: Using curly braces
my_hash_map = {}

# Method 2: Using the dict() constructor
my_hash_map = dict()

Adding and Retrieving Elements

To add elements to a hash map, you can use the square bracket notation. The key is enclosed in square brackets, followed by the assignment operator =, and then the corresponding value. Here’s an example:

my_hash_map = {}
my_hash_map['name'] = 'John'
my_hash_map['age'] = 30

To retrieve values from a hash map, you can use the same square bracket notation and provide the key. If the key exists, the corresponding value will be returned. If the key does not exist, a KeyError will be raised. Here’s an example:

my_hash_map = {'name': 'John', 'age': 30}
print(my_hash_map['name'])  # Output: John
print(my_hash_map['gender'])  # Raises KeyError: 'gender'

A better way to build and deploy Web Apps

  Cloud Dev Environments
  Test/QA enviroments
  Staging

One-click preview environments for each branch of code.

Checking if a Key Exists

To check if a key exists in a hash map, you can use the in keyword. It returns a boolean value indicating whether the key exists in the hash map or not. Here’s an example:

my_hash_map = {'name': 'John', 'age': 30}
print('name' in my_hash_map)  # Output: True
print('gender' in my_hash_map)  # Output: False

Updating and Deleting Elements

To update the value of an existing key in a hash map, you can use the same square bracket notation and provide the key. If the key exists, the value will be updated. If the key does not exist, a new key-value pair will be added. Here’s an example:

my_hash_map = {'name': 'John', 'age': 30}
my_hash_map['age'] = 31  # Update value
my_hash_map['gender'] = 'Male'  # Add new key-value pair

To delete a key-value pair from a hash map, you can use the del keyword and provide the key. If the key exists, the corresponding key-value pair will be removed. If the key does not exist, a KeyError will be raised. Here’s an example:

my_hash_map = {'name': 'John', 'age': 30}
del my_hash_map['age']

Iterating Over a Hash Map

To iterate over the keys or values of a hash map, you can use the keys() and values() methods, respectively. These methods return iterable objects that can be used in a loop or converted to a list using the list() constructor. Here are a few examples:

my_hash_map = {'name': 'John', 'age': 30}

# Iterate over keys
for key in my_hash_map.keys():
    print(key)

# Iterate over values
for value in my_hash_map.values():
    print(value)

# Convert keys to a list
keys_list = list(my_hash_map.keys())

# Convert values to a list
values_list = list(my_hash_map.values())

Best Practices

– Choose meaningful and descriptive keys for your hash map. This will make your code more readable and maintainable.
– Be cautious when using mutable objects as keys, such as lists or dictionaries. Mutable objects can be modified, which may lead to unexpected behavior in the hash map.
– Take advantage of the built-in methods and functions provided by Python’s dict class, such as get(), pop(), and items(). These methods can simplify your code and improve performance in certain scenarios.

More Articles from the Python Tutorial: From Basics to Advanced Concepts series: