Python slice(): Extract a Subset of a Sequence

The slice() function creates a slice object used to extract parts of sequences (lists, tuples, strings, etc.). It’s useful for data manipulation, working with large datasets, and creating custom slicing behavior.

Example

numbers = [0, 1, 2, 3, 4, 5]
s = slice(1, 4)  # Create a slice object
print(numbers[s])

Output:

[1, 2, 3]

Extracts elements from index 1 to 3.

Syntax

slice(start, stop, step)
  • start (optional) → Index to start slicing (default: 0).
  • stop → Index to stop at (not included).
  • step (optional) → Step size (default: 1).

1. Using slice() on a List

data = ["a", "b", "c", "d", "e"]
s = slice(1, 4)
print(data[s])  
# Output: ['b', 'c', 'd']

Equivalent to data[1:4].

2. Using slice() with Step

nums = [0, 1, 2, 3, 4, 5, 6]
s = slice(0, 7, 2)
print(nums[s])  
# Output: [0, 2, 4, 6]

Extracts every second element.

3. Using slice() on Strings

text = "Python"
s = slice(1, 4)
print(text[s])  
# Output: 'yth'

Works just like list slicing.

4. Slicing a Tuple

values = (10, 20, 30, 40, 50)
s = slice(2, 4)
print(values[s])  
# Output: (30, 40)

Returns a new tuple.

5. Using slice() with Negative Indexing

nums = [10, 20, 30, 40, 50]
s = slice(-4, -1)  
print(nums[s])  
# Output: [20, 30, 40]

Works with negative indexes too.

6. Using slice() with range()

s = slice(2, 10, 3)
print(list(range(15))[s])  
# Output: [2, 5, 8]

Works with range() objects too.

7. Using slice() Dynamically

start, stop, step = 1, 5, 2
s = slice(start, stop, step)

data = ["A", "B", "C", "D", "E", "F"]
print(data[s])  
# Output: ['B', 'D']

Stores slice parameters dynamically.

8. Extracting slice() Values

s = slice(1, 5, 2)
print(s.start, s.stop, s.step)
# Output: 1 5 2

Useful for working with slicing programmatically.

Key Notes

  • Works with lists, tuples, strings, and ranges.
  • Supports start, stop, and step parameters.
  • Can be used dynamically for flexible slicing.
  • Equivalent to obj[start:stop:step] but more versatile.

By using slice(), you can efficiently extract data, manipulate sequences, and work with slicing dynamically. 🚀

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