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Radix sort
11-2-2018
Radix Sort
• radix sort is a non-comparative integer sorting
algorithm that sorts data with integer keys by
grouping keys by the individual digits which
share the same significant position and value.
A positional notation is required
• Most digital computers internally represent all of
their data as electronic representations of binary
numbers, so processing the digits of integer
representations by groups of binary digit
representations is most convenient. Two
classifications of radix sorts are least significant
digit (LSD) radix sorts and most significant
digit (MSD) radix sorts. LSD radix sorts process
the integer representations starting from the
least digit and move towards the most significant
digit. MSD radix sorts work the other way around.
Radix Sort
• def radix_sort(array, base=10):
• def list_to_buckets(array, base, iteration):
• buckets = [[] for _ in range(base)]
• for number in array:
• # Isolate the base-digit from the number
• digit = (number // (base ** iteration)) % base
• # Drop the number into the correct bucket buckets[digit].append(number)
• return buckets
• def buckets_to_list(buckets):
• numbers = []
• for bucket in buckets:
• # append the numbers in a bucket
• # sequentially to the returned array
• for number in bucket:
• numbers.append(number)
• return numbers
• maxval = max(array)
• it = 0
• # Iterate, sorting the array by each base-digit
• while base ** it <= maxval:
• array = buckets_to_list(list_to_buckets(array, base, it))
• it += 1
• return array
Original, unsorted list
sorting least significant digit (1's place)
sorting least significant digit (1's place)
Sorting by next digit (10's place)
Sorting by next digit (10's place)
Sorting by next digit (10's place)
Sorting by next digit (10's place)
Sorting by next digit (10's place)
Sorting by next digit (10's place)
Sorting by most significant digit (100's place)
Sorting by most significant digit (100's place)
Sorting by most significant digit (100's place)
Radix Sort

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Radix sort

  • 2. Radix Sort • radix sort is a non-comparative integer sorting algorithm that sorts data with integer keys by grouping keys by the individual digits which share the same significant position and value. A positional notation is required
  • 3. • Most digital computers internally represent all of their data as electronic representations of binary numbers, so processing the digits of integer representations by groups of binary digit representations is most convenient. Two classifications of radix sorts are least significant digit (LSD) radix sorts and most significant digit (MSD) radix sorts. LSD radix sorts process the integer representations starting from the least digit and move towards the most significant digit. MSD radix sorts work the other way around. Radix Sort
  • 4. • def radix_sort(array, base=10): • def list_to_buckets(array, base, iteration): • buckets = [[] for _ in range(base)] • for number in array: • # Isolate the base-digit from the number • digit = (number // (base ** iteration)) % base • # Drop the number into the correct bucket buckets[digit].append(number) • return buckets • def buckets_to_list(buckets): • numbers = [] • for bucket in buckets: • # append the numbers in a bucket • # sequentially to the returned array • for number in bucket: • numbers.append(number) • return numbers • maxval = max(array) • it = 0 • # Iterate, sorting the array by each base-digit • while base ** it <= maxval: • array = buckets_to_list(list_to_buckets(array, base, it)) • it += 1 • return array
  • 6. sorting least significant digit (1's place)
  • 7. sorting least significant digit (1's place)
  • 8. Sorting by next digit (10's place)
  • 9. Sorting by next digit (10's place)
  • 10. Sorting by next digit (10's place)
  • 11. Sorting by next digit (10's place)
  • 12. Sorting by next digit (10's place)
  • 13. Sorting by next digit (10's place)
  • 14. Sorting by most significant digit (100's place)
  • 15. Sorting by most significant digit (100's place)
  • 16. Sorting by most significant digit (100's place)