Pythonic way to iterate over sequence, 4 items at a time

Pythonic way to iterate over sequence, 4 items at a time

A Pythonic way to iterate over a sequence in groups of four items at a time is to use a loop with slicing. You can create a sliding window of four items and iterate through the sequence. Here's an example:

my_sequence = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] for i in range(0, len(my_sequence), 4): group = my_sequence[i:i+4] print(group) 

In this code:

  • range(0, len(my_sequence), 4) generates indices in increments of 4, starting from 0.

  • my_sequence[i:i+4] slices the sequence to get a group of four items at a time.

This code will print groups of four items from the my_sequence list. You can replace my_sequence with your own sequence or iterable.

Examples

  1. "Python: How to split a list into chunks of 4?"

    • Description: This snippet demonstrates a generator function to split a list into chunks of specified size.
    • Code:
      def chunks(lst, size): for i in range(0, len(lst), size): yield lst[i:i + size] numbers = list(range(1, 11)) # [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] for chunk in chunks(numbers, 4): print(chunk) # Outputs: [1, 2, 3, 4], [5, 6, 7, 8], [9, 10] 
  2. "Python: How to iterate over a list in groups of 4?"

    • Description: This snippet shows how to use list slicing with a loop to get groups of 4 items at a time.
    • Code:
      items = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'] for i in range(0, len(items), 4): group = items[i:i + 4] print(group) # Outputs: ['a', 'b', 'c', 'd'], ['e', 'f', 'g', 'h'] 
  3. "Python: How to iterate over a sequence with a step size of 4?"

    • Description: This code snippet demonstrates how to iterate over a sequence with a step size to select 4 items at a time.
    • Code:
      sequence = list(range(20)) # [0, 1, 2, ..., 19] for i in range(0, len(sequence), 4): print(sequence[i:i + 4]) # Outputs groups of 4 items 
  4. "Python: How to iterate over tuples in groups of 4?"

    • Description: This snippet demonstrates iterating over tuples in chunks of 4 using a generator.
    • Code:
      data = [(1, 'a'), (2, 'b'), (3, 'c'), (4, 'd'), (5, 'e')] for chunk in chunks(data, 4): print(chunk) # Outputs: [(1, 'a'), (2, 'b'), (3, 'c'), (4, 'd')], [(5, 'e')] 
  5. "Python: How to iterate over a string in groups of 4 characters?"

    • Description: This snippet demonstrates iterating over a string in groups of 4 characters at a time.
    • Code:
      text = "abcdefghij" for i in range(0, len(text), 4): print(text[i:i + 4]) # Outputs: 'abcd', 'efgh', 'ij' 
  6. "Python: How to iterate over a list of lists, 4 items at a time?"

    • Description: This snippet shows how to iterate over a list of lists and process 4 lists at a time.
    • Code:
      list_of_lists = [ [1, 2], [3, 4], [5, 6], [7, 8], [9, 10] ] for chunk in chunks(list_of_lists, 4): print(chunk) # Outputs: [[1, 2], [3, 4], [5, 6], [7, 8]], [[9, 10]] 
  7. "Python: How to group elements in a sequence, 4 at a time?"

    • Description: This snippet shows how to use list comprehension to create groups of 4 from a sequence.
    • Code:
      sequence = list(range(10)) groups = [sequence[i:i + 4] for i in range(0, len(sequence), 4)] print(groups) # Outputs: [[0, 1, 2, 3], [4, 5, 6, 7], [8, 9]] 
  8. "Python: How to iterate over a list with 4-item window?"

    • Description: This code snippet demonstrates a sliding window iteration over a list, 4 items at a time.
    • Code:
      lst = list(range(1, 11)) window_size = 4 for i in range(len(lst) - window_size + 1): window = lst[i:i + window_size] print(window) # Outputs 4-item windows: [1, 2, 3, 4], [2, 3, 4, 5], etc. 
  9. "Python: How to use itertools to chunk a sequence into groups of 4?"

    • Description: This snippet uses itertools.islice and iter to create a generator for 4-item chunks.
    • Code:
      import itertools def chunks(iterable, size): iterator = iter(iterable) return iter(lambda: list(itertools.islice(iterator, size)), []) sequence = list(range(10)) for chunk in chunks(sequence, 4): print(chunk) # Outputs: [0, 1, 2, 3], [4, 5, 6, 7], [8, 9] 
  10. "Python: How to process a large list in groups of 4 items at a time?"

    • Description: This code snippet demonstrates processing a large list in groups of 4 items to minimize memory use.
    • Code:
      large_list = list(range(1000)) # Example large list for chunk in chunks(large_list, 4): # Processing each chunk print(chunk) # Outputs chunks of 4 items 

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