w3resource

Python: Sort a list of dictionaries using Lambda

Python Lambda: Exercise-4 with Solution

Write a Python program to sort a list of dictionaries using Lambda.

Sample Solution:

Python Code :

models = [{'make':'Nokia', 'model':216, 'color':'Black'}, {'make':'Mi Max', 'model':'2', 'color':'Gold'}, {'make':'Samsung', 'model': 7, 'color':'Blue'}]
print("Original list of dictionaries :")
print(models)
sorted_models = sorted(models, key = lambda x: x['color'])
print("\nSorting the List of dictionaries :")
print(sorted_models)

Sample Output:

Original list of dictionaries :
[{'make': 'Nokia', 'model': 216, 'color': 'Black'}, {'make': 'Mi Max', 'model': '2', 'color': 'Gold'}, {'make': 'Samsung', 'model': 7, 'color': 'Blue'}]

Sorting the List of dictionaries :
[{'make': 'Nokia', 'model': 216, 'color': 'Black'}, {'make': 'Samsung', 'model': 7, 'color': 'Blue'}, {'make': 'Mi Max', 'model': '2', 'color': 'Gold'}]

Visualize Python code execution:

The following tool visualize what the computer is doing step-by-step as it executes the said program:


Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Python program to sort a list of tuples using Lambda.
Next: Write a Python program to filter a list of integers using Lambda.

What is the difficulty level of this exercise?

Test your Python skills with w3resource's quiz



Python: Tips of the Day

Python: Cache results with decorators

There is a great way to cache functions with decorators in Python. Caching will help save time and precious resources when there is an expensive function at hand.

Implementation is easy, just import lru_cache from functools library and decorate your function using @lru_cache.

from functools import lru_cache

@lru_cache(maxsize=None)
def fibo(a):
    if a <= 1:
        return a
    else:
        return fibo(a-1) + fibo(a-2)

for i in range(20):
    print(fibo(i), end="|")

print("\n\n", fibo.cache_info())

Output:

0|1|1|2|3|5|8|13|21|34|55|89|144|233|377|610|987|1597|2584|4181|

 CacheInfo(hits=36, misses=20, maxsize=None, currsize=20)