Given an array of integers, find the elements from the array whose frequency lies in the range [l, r].
Examples:
Input : arr[] = { 1, 2, 3, 3, 2, 2, 5 } l = 2, r = 3 Output : 2 3 3 2 2
Approach :
- Take a hash map, which will store the frequency of all the elements in the array.
- Now, traverse once again.
- Print the elements whose frequency lies between the range [l, r].
C++
// C++ program to find the elements whose // frequency lies in the range [l, r] #include "iostream" #include "unordered_map" using namespace std;
void findElements( int arr[], int n, int l, int r)
{ // Hash map which will store the
// frequency of the elements of the array.
unordered_map< int , int > mp;
for ( int i = 0; i < n; ++i) {
// Increment the frequency
// of the element by 1.
mp[arr[i]]++;
}
for ( int i = 0; i < n; ++i) {
// Print the element whose frequency
// lies in the range [l, r]
if (l <= mp[arr[i]] && mp[arr[i] <= r]) {
cout << arr[i] << " " ;
}
}
} int main()
{ int arr[] = { 1, 2, 3, 3, 2, 2, 5 };
int n = sizeof (arr) / sizeof (arr[0]);
int l = 2, r = 3;
findElements(arr, n, l, r);
return 0;
} |
Java
import java.util.HashMap;
import java.util.Map;
// Java program to find the elements whose // frequency lies in the range [l, r] public class GFG {
static void findElements( int arr[], int n, int l, int r) {
// Hash map which will store the
// frequency of the elements of the array.
Map<Integer, Integer> mp = new HashMap<Integer, Integer>();
for ( int i = 0 ; i < n; ++i) {
// Increment the frequency
// of the element by 1.
int a= 0 ;
if (mp.get(arr[i])== null ){
a= 1 ;
}
else {
a = mp.get(arr[i])+ 1 ;
}
mp.put(arr[i], a);
}
for ( int i = 0 ; i < n; ++i) {
// Print the element whose frequency
// lies in the range [l, r]
if (l <= mp.get(arr[i]) && (mp.get(arr[i]) <= r)) {
System.out.print(arr[i] + " " );
}
}
}
public static void main(String[] args) {
int arr[] = { 1 , 2 , 3 , 3 , 2 , 2 , 5 };
int n = arr.length;
int l = 2 , r = 3 ;
findElements(arr, n, l, r);
}
} /*This code is contributed by PrinciRaj1992*/ |
Python3
# Python 3 program to find the elements whose # frequency lies in the range [l, r] def findElements(arr, n, l, r):
# Hash map which will store the
# frequency of the elements of the array.
mp = {i: 0 for i in range ( len (arr))}
for i in range (n):
# Increment the frequency
# of the element by 1.
mp[arr[i]] + = 1
for i in range (n):
# Print the element whose frequency
# lies in the range [l, r]
if (l < = mp[arr[i]] and mp[arr[i] < = r]):
print (arr[i], end = " " )
# Driver Code if __name__ = = '__main__' :
arr = [ 1 , 2 , 3 , 3 , 2 , 2 , 5 ]
n = len (arr)
l = 2
r = 3
findElements(arr, n, l, r)
# This code is contributed by # Shashank_Sharma |
C#
// C# program to find the elements whose // frequency lies in the range [l, r] using System;
using System.Collections.Generic;
class GFG
{ static void findElements( int []arr, int n, int l, int r)
{
// Hash map which will store the
// frequency of the elements of the array.
Dictionary< int , int > mp = new Dictionary< int , int >();
for ( int i = 0; i < n; ++i)
{
// Increment the frequency
// of the element by 1.
int a = 0;
if (!mp.ContainsKey(arr[i]))
{
a = 1;
}
else
{
a = mp[arr[i]]+1;
}
if (!mp.ContainsKey(arr[i]))
{
mp.Add(arr[i], a);
}
else
{
mp.Remove(arr[i]);
mp.Add(arr[i], a);
}
}
for ( int i = 0; i < n; ++i)
{
// Print the element whose frequency
// lies in the range [l, r]
if (mp.ContainsKey(arr[i]) &&
l <= mp[arr[i]] &&
(mp[arr[i]] <= r))
{
Console.Write(arr[i] + " " );
}
}
}
// Driver code
public static void Main(String[] args)
{
int []arr = {1, 2, 3, 3, 2, 2, 5};
int n = arr.Length;
int l = 2, r = 3;
findElements(arr, n, l, r);
}
} // This code has been contributed by 29AjayKumar |
Javascript
<script> // Javascript program to find the elements whose // frequency lies in the range [l, r] function findElements(arr, n, l, r)
{ // Hash map which will store the
// frequency of the elements of the array.
let mp = new Map();
for (let i = 0; i < n; ++i)
{
// Increment the frequency
// of the element by 1.
let a = 0;
if (mp.get(arr[i]) == null )
{
a = 1;
}
else
{
a = mp.get(arr[i]) + 1;
}
mp.set(arr[i], a);
}
for (let i = 0; i < n; ++i)
{
// Print the element whose frequency
// lies in the range [l, r]
if (l <= mp.get(arr[i]) &&
(mp.get(arr[i]) <= r))
{
document.write(arr[i] + " " );
}
}
} // Driver Code let arr = [ 1, 2, 3, 3, 2, 2, 5 ]; let n = arr.length; let l = 2, r = 3; findElements(arr, n, l, r); // This code is contributed by code_hunt </script> |
Output
2 3 3 2 2
Time Complexity: O(N)
Auxiliary space: O(N)
Efficient Approach( Space optimization): we can use binary search . First sort the whole array for binary search function and then find frequency of all array element . Then check if the frequency of array element lies in the range [L,R]. If lies , then print that element .
Below is the implementation of the above approach:
C++
// C++ implementation of the above approach #include <bits/stdc++.h> using namespace std;
// Function to print elements that frequency // lies in the range [L,R] void findElements( int *arr, int n , int l , int r)
{ sort(arr,arr+n); //sort array for binary search
for ( int i = 0 ; i < n ;i++)
{
//index of first and last occ of arr[i] using binary
//search Upper and lower bound function
int first_index = lower_bound(arr,arr+n,arr[i])- arr;
int last_index = upper_bound(arr,arr+n,arr[i])- arr-1;
int fre = last_index-first_index+1; //finding frequency
if (fre >= l and fre <=r)
{ //printing element if its frequency lies in the range [L,R]
cout << arr[i] << " " ;
}
}
} // Drive code int main()
{ int arr[] = { 1, 2, 3, 3, 2, 2, 5 };
int n = sizeof (arr) / sizeof (arr[0]);
int l = 2, r = 3;
// Function call
findElements( arr, n, l , r );
return 0;
} // This Approach is contributed by nikhilsainiofficial546 |
Java
// Java implementation of the above approach import java.util.*;
public class FrequencyRange {
// Function to print elements that frequency
// lies in the range [L,R]
static void findElements( int [] arr, int n, int l, int r)
{
Arrays.sort(arr);
// sort array for binary search
for ( int i = 0 ; i < n; i++) {
// index of first and last occ of arr[i] using
// binary search Upper and lower bound function
int first_index
= Arrays.binarySearch(arr, arr[i]);
int last_index
= Arrays.binarySearch(arr, arr[i]);
while (first_index > 0
&& arr[first_index - 1 ] == arr[i]) {
first_index--;
}
while (last_index < n - 1
&& arr[last_index + 1 ] == arr[i]) {
last_index++;
}
int fre = last_index - first_index + 1 ;
// finding frequency
if (fre >= l && fre <= r) {
// printing element if its
// frequency lies in the
// range [L,R]
System.out.print(arr[i] + " " );
}
}
}
// Driver's code
public static void main(String[] args)
{
int [] arr = { 1 , 2 , 3 , 3 , 2 , 2 , 5 };
int n = arr.length;
int l = 2 , r = 3 ;
// Function call
findElements(arr, n, l, r);
}
} |
Python3
import bisect
# Function to print elements whose frequency # lies in the range [L,R] def findElements(arr, n, l, r):
arr.sort() # sort array for binary search
for i in range (n):
# index of first and last occ of arr[i] using binary
# search Upper and lower bound function
first_index = bisect.bisect_left(arr, arr[i])
last_index = bisect.bisect_right(arr, arr[i])
fre = last_index - first_index # finding frequency
if fre > = l and fre < = r: # printing element if its frequency lies in the range [L,R]
print ( str (arr[i]), end = " " )
print ()
# Driver code arr = [ 1 , 2 , 3 , 3 , 2 , 2 , 5 ]
n = len (arr)
l = 2
r = 3
# Function call findElements(arr, n, l , r) |
C#
using System;
class Program {
static void findElements( int [] arr, int n, int l, int r) {
Array.Sort(arr); // sort array for binary search
for ( int i = 0; i < n; i++) {
// index of first and last occ of arr[i] using binary
// search Upper and lower bound function
int first_index = Array.BinarySearch(arr, arr[i]);
while (first_index > 0 && arr[first_index - 1] == arr[i]) {
first_index--;
}
int last_index = Array.BinarySearch(arr, arr[i]);
while (last_index < n - 1 && arr[last_index + 1] == arr[i]) {
last_index++;
}
int fre = last_index - first_index + 1; // finding frequency
if (fre >= l && fre <= r) { // printing element if its frequency lies in the range [L,R]
Console.Write(arr[i] + " " );
}
}
}
static void Main() {
int [] arr = { 1, 2, 3, 3, 2, 2, 5 };
int n = arr.Length;
int l = 2, r = 3;
// Function call
findElements(arr, n, l, r);
}
} |
Javascript
// Function to print elements that frequency // lies in the range [L,R] function findElements(arr, n, l, r) {
arr.sort(); // sort array for binary search
for (let i = 0; i < n; i++) {
// index of first and last occ of arr[i] using binary
// search Upper and lower bound function
const first_index = arr.indexOf(arr[i]);
const last_index = arr.lastIndexOf(arr[i]);
const fre = last_index - first_index + 1; // finding frequency
if (fre >= l && fre <= r) { // printing element if its frequency lies in the range [L,R]
console.log(arr[i] + " " );
}
}
} // Drive code const arr = [1, 2, 3, 3, 2, 2, 5]; const n = arr.length; const l = 2; const r = 3; // Function call findElements(arr, n, l , r); |
Output
2 2 2 3 3
Time Complexity: O(N*Log2N)
Auxiliary space: O(1)