Given an array of integers, remove all the occurrences of those elements which appear strictly more than k times in the array.
Examples:
Input : arr[] = {1, 2, 2, 3, 2, 3, 4}
k = 2
Output : 1 3 3 4
Input : arr[] = {2, 5, 5, 7}
k = 1
Output : 2 7
Approach:
- Take a hash map, which will store the frequency of all the elements in the array.
- Now, traverse once again.
- Print the elements which appear less than or equal to k times.
C++
#include "iostream"
#include "unordered_map"
using namespace std;
void RemoveElements( int arr[], int n, int k)
{
unordered_map< int , int > mp;
for ( int i = 0; i < n; ++i) {
mp[arr[i]]++;
}
for ( int i = 0; i < n; ++i) {
if (mp[arr[i]] <= k) {
cout << arr[i] << " " ;
}
}
}
int main( int argc, char const * argv[])
{
int arr[] = { 1, 2, 2, 3, 2, 3, 4 };
int n = sizeof (arr) / sizeof (arr[0]);
int k = 2;
RemoveElements(arr, n, k);
return 0;
}
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Java
import java.util.HashMap;
import java.util.Map;
class GFG
{
static void RemoveElements( int arr[], int n, int k)
{
Map<Integer,Integer> mp = new HashMap<>();
for ( int i = 0 ; i < n; ++i)
{
mp.put(arr[i],mp.get(arr[i]) == null ? 1 :mp.get(arr[i])+ 1 );
}
for ( int i = 0 ; i < n; ++i)
{
if (mp.containsKey(arr[i]) && mp.get(arr[i]) <= k)
{
System.out.print(arr[i] + " " );
}
}
}
public static void main(String[] args)
{
int arr[] = { 1 , 2 , 2 , 3 , 2 , 3 , 4 };
int n = arr.length;
int k = 2 ;
RemoveElements(arr, n, k);
}
}
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Python3
def RemoveElements(arr, n, k):
mp = {i: 0 for i in range ( len (arr))}
for i in range (n):
mp[arr[i]] + = 1
for i in range (n):
if (mp[arr[i]] < = k):
print (arr[i], end = " " )
if __name__ = = '__main__' :
arr = [ 1 , 2 , 2 , 3 , 2 , 3 , 4 ]
n = len (arr)
k = 2
RemoveElements(arr, n, k)
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C#
using System;
using System.Collections.Generic;
class GFG
{
static void RemoveElements( int [] arr,
int n, int k)
{
Dictionary< int ,
int > mp = new Dictionary< int ,
int >();
for ( int i = 0; i < n; ++i)
{
if (mp.ContainsKey(arr[i]))
mp[arr[i]]++;
else
mp[arr[i]] = 1;
}
for ( int i = 0; i < n; ++i)
{
if (mp.ContainsKey(arr[i]) && mp[arr[i]] <= k)
{
Console.Write(arr[i] + " " );
}
}
}
static public void Main()
{
int [] arr = { 1, 2, 2, 3, 2, 3, 4 };
int n = arr.Length;
int k = 2;
RemoveElements(arr, n, k);
}
}
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Javascript
<script>
function RemoveElements(arr,n,k)
{
let mp = new Map();
for (let i = 0; i < n; ++i)
{
mp.set(arr[i],mp.get(arr[i]) == null ?1:mp.get(arr[i])+1);
}
for (let i = 0; i < n; ++i)
{
if (mp.has(arr[i]) && mp.get(arr[i]) <= k)
{
document.write(arr[i] + " " );
}
}
}
let arr=[1, 2, 2, 3, 2, 3, 4 ];
let n = arr.length;
let k = 2;
RemoveElements(arr, n, k);
</script>
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Output:
1 3 3 4
Time Complexity – O(N), where N is the size of the given integer.
Auxiliary Space – O(N), where N is the size of the given integer.
Method #2:Using Built-in Python functions:
- Count the frequencies of every element using Counter function
- Traverse the array.
- Print the elements which appear less than or equal to k times.
Below is the implementation of the above approach:
Python3
from collections import Counter
def removeElements(arr, n, k):
freq = Counter(arr)
for i in range (n):
if (freq[arr[i]] < = k):
print (arr[i], end = " " )
arr = [ 1 , 2 , 2 , 3 , 2 , 3 , 4 ]
n = len (arr)
k = 2
removeElements(arr, n, k)
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Time Complexity – O(N), where N is the size of the given integer.
Auxiliary Space – O(N), where N is the size of the given integer.