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Python: Create a list reflecting the run-length encoding from a list

Python List: Exercise - 75 with Solution

Run-length encoding (RLE) is a form of lossless data compression in which runs of data (sequences in which the same data value occurs in many consecutive data elements) are stored as a single data value and count, rather than as the original run.

Write a Python program to create a list reflecting the run-length encoding from a given list of integers or a given list of characters.

Sample Solution:

Python Code:

from itertools import groupby
def encode_list(s_list):
    return [[len(list(group)), key] for key, group in groupby(s_list)]
n_list = [1,1,2,3,4,4.3,5, 1]
print("Original list:") 
print(n_list)
print("\nList reflecting the run-length encoding from the said list:")
print(encode_list(n_list))
n_list = 'automatically'
print("\nOriginal String:") 
print(n_list)
print("\nList reflecting the run-length encoding from the said string:")
print(encode_list(n_list))

Sample Output:

Original list:
[1, 1, 2, 3, 4, 4.3, 5, 1]

List reflecting the run-length encoding from the said list:
[[2, 1], [1, 2], [1, 3], [1, 4], [1, 4.3], [1, 5], [1, 1]]

Original String:
automatically

List reflecting the run-length encoding from the said string:
[[1, 'a'], [1, 'u'], [1, 't'], [1, 'o'], [1, 'm'], [1, 'a'], [1, 't'], [1, 'i'], [1, 'c'], [1, 'a'], [2, 'l'], [1, 'y']]

Flowchart:

Flowchart: Create a list reflecting the run-length encoding from a list.

Visualize Python code execution:

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Python Code Editor:

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Previous: Write a Python program to pack consecutive duplicates of a given list elements into sublists.
Next: Write a Python program to create a list reflecting the modified run-length encoding from a given list of integers or a given list of characters.

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Python: Tips of the Day

Given a predicate function, fn, and a prop string, this curried function will then take an object to inspect by calling the property and passing it to the predicate:

Example:

def tips_check_prop(fn, prop):
  return lambda obj: fn(obj[prop])
check_age = tips_check_prop(lambda x: x >= 25, 'age')
user = {'name': 'Owen', 'age': 25}

print(check_age(user))

Output:

True 

 





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