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Iterating List of Python Dictionaries

Last Updated : 19 Feb, 2024
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Iteration of the list of dictionaries is a very common practice that every developer performs while encountering with dictionary data. In this article, we will explore how to iterate through a list of dictionaries.

Iterating List Of Dictionaries in Python

Below are some of the ways by which we can iterate list of dictionaries in Python:

  • Using a simple loop
  • Using a list comprehension
  • Using itertools.chain() Method

Iterate List Of Dictionaries Using a Simple Loop

In this example, a list named movies contains dictionaries representing movie information. Through nested loops, the code iterates over each dictionary and unpacks its key-value pairs, printing the details of each movie, including title, director, genre, and year.

Python3




movies = [
    {"title": "The Shawshank Redemption",
        "director": "Frank Darabont", "genre": "Drama", "year": 1994},
    {"title": "The Godfather", "director": "Francis Ford Coppola",
        "genre": "Crime", "year": 1972}
]
 
# Iterating through the list of dictionaries and unpacking key-value pairs
for movie in movies:
    for key, value in movie.items():
        print(f"{key}: {value}")


Output

title: The Shawshank Redemption
director: Frank Darabont
genre: Drama
year: 1994
title: The Godfather
director: Francis Ford Coppola
genre: Crime
year: 1972




Iterate List Of Dictionaries Using a List Comprehension

In this example, a list named movies contains dictionaries representing movie information. The code utilizes a list comprehension to iterate over each dictionary, unpacking its key-value pairs, and printing them in a concise manner using the print function.

Python3




movies = [
    {"title": "The Shawshank Redemption",
        "director": "Frank Darabont", "genre": "Drama", "year": 1994},
    {"title": "The Godfather", "director": "Francis Ford Coppola",
        "genre": "Crime", "year": 1972}
]
 
# Iterating through the list of dictionaries and unpacking key-value pairs
_ = [print(key, value) for d in movies for key, value in d.items()]


Output

title The Shawshank Redemption
director Frank Darabont
genre Drama
year 1994
title The Godfather
director Francis Ford Coppola
genre Crime
year 1972




Iterate List Of Dictionaries Using itertools.chain() Method

In this example, the itertools module’s chain() function is used to iterate through the list of dictionaries (movies). The nested generator expression and chain.from_iterable method unpack key-value pairs from each dictionary, and the resulting pairs are iterated through, printing the details of each movie, including title, director, genre, and year.

Python3




from itertools import chain
movies = [
    {"title": "The Shawshank Redemption",
        "director": "Frank Darabont", "genre": "Drama", "year": 1994},
    {"title": "The Godfather", "director": "Francis Ford Coppola",
        "genre": "Crime", "year": 1972},
    {"title": "Inception", "director": "Christopher Nolan",
        "genre": "Sci-Fi", "year": 2010},
    {"title": "Pulp Fiction", "director": "Quentin Tarantino",
        "genre": "Crime", "year": 1994}
]
 
# Iterating through the list of dictionaries and unpacking key-value pairs
for key, value in chain.from_iterable(d.items() for d in movies):
    print(key, value)


Output:

title The Shawshank Redemption
director Frank Darabont
genre Drama
year 1994
title The Godfather
director Francis Ford Coppola
genre Crime
year 1972
title Inception
director Christopher Nolan
genre Sci-Fi
year 2010
title Pulp Fiction
director Quentin Tarantino
genre Crime
year 1994

Conclusion

This article, explored the efficient iteration methods through a list of dictionaries in Python, covering key concepts such as Lists of Dictionaries, Dictionary Unpacking, and Iterating through Lists. The provided examples, including student information, book details, and movie records, demonstrated the practical application of these concepts.We’ve seen the practical application of these concepts with examples, showcasing how to efficiently handle structured data using this approach.



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