How to use indexing In Python
This is a direct method, where list elements are extracted using just the index.
Syntax:
list[index]
Example:
Python3
# Create a list of dictionarieslanguages = [ { "Python": "Machine Learning", "R": "Machine learning", }, { "Python": "Web development", "Java Script": "Web Development", "HTML": "Web Development" }, { "C++": "Game Development", "Python": "Game Development" }, { "Java": "App Development", "Kotlin": "App Development" }]print(languages[0])print(languages[1])print(languages[2])print(languages[3]) |
Output:
{‘Python’: ‘Machine Learning’, ‘R’: ‘Machine learning’}
{‘Python’: ‘Web development’, ‘Java Script’: ‘Web Development’, ‘HTML’: ‘Web Development’}
{‘C++’: ‘Game Development’, ‘Python’: ‘Game Development’}
{‘Java’: ‘App Development’, ‘Kotlin’: ‘App Development’}
After using indexing to particular dictionaries, now we can treat each item of the list as a dictionary,
Example: Extracting values from a particular dictionary
Python3
# Create a list of dictionarieslanguages = [ { "Python": "Machine Learning", "R": "Machine learning", }, { "Python": "Web development", "Java Script": "Web Development", "HTML": "Web Development" }, { "C++": "Game Development", "Python": "Game Development" }, { "Java": "App Development", "Kotlin": "App Development" }]for key, val in languages[0].items(): print("{} : {}".format(key, val)) |
Output:
Python : Machine Learning
R : Machine learning
Iterate through list of dictionaries in Python
In this article, we will learn how to iterate through a list of dictionaries.
List of dictionaries in use:
[{‘Python’: ‘Machine Learning’, ‘R’: ‘Machine learning’},
{‘Python’: ‘Web development’, ‘Java Script’: ‘Web Development’, ‘HTML’: ‘Web Development’},
{‘C++’: ‘Game Development’, ‘Python’: ‘Game Development’}, {‘Java’: ‘App Development’, ‘Kotlin’: ‘App Development’}]
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