Python3 Program for Segregate 0s and 1s in an array

You are given an array of 0s and 1s in random order. Segregate 0s on left side and 1s on right side of the array. Traverse array only once.

Input array   =  [0, 1, 0, 1, 0, 0, 1, 1, 1, 0] 
Output array =  [0, 0, 0, 0, 0, 1, 1, 1, 1, 1]

Method 1 (Count 0s or 1s)
Thanks to Naveen for suggesting this method.
1) Count the number of 0s. Let count be C.
2) Once we have count, we can put C 0s at the beginning and 1s at the remaining n – C positions in array.
Time Complexity : O(n)

Python3

# Python 3 code to Segregate
# 0s and 1s in an array
  
# Function to segregate 0s and 1s
def segregate0and1(arr, n) :
      
    # Counts the no of zeros in arr
    count = 0 
  
    for i in range(0, n) :
        if (arr[i] == 0) :
            count = count + 1
  
    # Loop fills the arr with 0 until count
    for i in range(0, count) :
        arr[i] = 0
  
    # Loop fills remaining arr space with 1
    for i in range(count, n) :
        arr[i] = 1
          
  
# Function to print segregated array
def print_arr(arr , n) :
    print( "Array after segregation is ",end = "")
  
    for i in range(0, n) :
        print(arr[i] , end = " ")
          
  
# Driver function
arr = [ 0, 1, 0, 1, 1, 1 ]
n = len(arr)
      
segregate0and1(arr, n)
print_arr(arr, n)
  
  
          
# This code is contributed by Nikita Tiwari.

Output :

Array after segregation is 0 0 1 1 1 1

Time Complexity : O(n) as it is looping through the array three times, which is linear time complexity.Here, n is size of input array.

Space Complexity: O(1) as it is not using any extra space other than the given array.

The method 1 traverses the array two times. Method 2 does the same in a single pass.

Method 2 (Use two indexes to traverse)
Maintain two indexes. Initialize first index left as 0 and second index right as n-1.
Do following while left < right
a) Keep incrementing index left while there are 0s at it
b) Keep decrementing index right while there are 1s at it
c) If left < right then exchange arr[left] and arr[right]

Implementation:

Output:

Array after segregation is 0 0 1 1 1 1

Time Complexity: O(n)

Another approach :
1. Take two pointer type0(for element 0) starting from beginning (index = 0) and type1(for element 1) starting from end (index = array.length-1).
Initialize type0 = 0 and type1 = array.length-1
2. It is intended to Put 1 to the right side of the array. Once it is done, then 0 will definitely towards left side of array.

Python3

# Python program to sort a 
# binary array in one pass
  
# Function to put all 0s on 
# left and all 1s on right
def segregate0and1(arr, size):
  
    type0 = 0
    type1 = size - 1
      
    while(type0 < type1):
        if(arr[type0] == 1):
            (arr[type0], 
             arr[type1]) = (arr[type1],
                            arr[type0])
            type1 -= 1
        else:
            type0 += 1
      
# Driver Code
arr = [0, 1, 0, 1, 1, 1]
arr_size = len(arr)
segregate0and1(arr, arr_size)
print("Array after segregation is", 
                         end = " ")
for i in range(0, arr_size):
        print(arr[i], end = " ")
  
# This code is contributed
# by Shivi_Aggarwal