## Counting Sort use case.

In computer science counting sort is a sorting method that uses the keys technique,
it counts the number of objects having distinct key values.
Then we have to find the position of each object in the output sequence.

New values in a temporary count array are used for sorting, so this sorting method is not a comparison-based and a not In Place algorithm. It is an integer sorting algorithm.

*
Python Knowledge Base: Make coding great again.
- Updated:
2024-11-11 by Andrey BRATUS, Senior Data Analyst.*

## Counting Sort Python code:

## Counting Sort Python code output:

It is assumed that values are going to be in a certain range (0 to 10 or 10 to 99 etc) and input data will be all real numbers. Counting sort is efficient if the range of input data is not significantly greater than the number of objects to be sorted. It is sometimes used as a sub-routine to another sorting techniques like radix sort.

```
def counting_Sort(array):
size = len(array)
output = [0] * size
# Initializing count array
count = [0] * 10
# Storing the count of each elements in count array
for i in range(0, size):
count[array[i]] += 1
# Storing the cummulative count
for i in range(1, 10):
count[i] += count[i - 1]
# Finding the index of each element in count array and placeputting the elements in result array
i = size - 1
while i >= 0:
output[count[array[i]] - 1] = array[i]
count[array[i]] -= 1
i -= 1
# Copy the sorted array into original array
for i in range(0, size):
array[i] = output[i]
data = [1, 3, 2, 5, 7]
counting_Sort(data)
print("Sorted elements in ascending order: ")
print(data)
```

OUT: Sorted elements in ascending order:

[1, 2, 3, 5, 7]