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Python | Count set bits in a range

Last Updated : 15 Jun, 2022
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Given a non-negative number n and two values l and r. The problem is to count the number of set bits in the range l to r in the binary representation of n, i.e, to count set bits from the rightmost lth bit to the rightmost rth bit. Constraint: 1 <= l <= r <= number of bits in the binary representation of n. Examples:

Input : n = 42, l = 2, r = 5 Output : 2 (42)10 = (101010)2 There are '2' set bits in the range 2 to 5. Input : n = 79, l = 1, r = 4 Output : 4

We have existing solution for this problem please refer Count set bits in a range link. We can solve this problem quickly in Python. Approach is very simple,

  1. Convert decimal into binary using bin(num) function.
  2. Now remove first two characters of output binary string because bin function appends ‘0b’ as prefix in output string by default.
  3. Slice string starting from index (l-1) to index r and reverse it, then count set bits in between.
Python
# Function to count set bits in a range def countSetBits(n,l,r): # convert n into it's binary binary = bin(n) # remove first two characters binary = binary[2:] # reverse string binary = binary[-1::-1] # count all set bit '1' starting from index l-1 # to r, where r is exclusive print (len([binary[i] for i in range(l-1,r) if binary[i]=='1'])) # Driver program if __name__ == &quot;__main__&quot;: n=42 l=2 r=5 countSetBits(n,l,r) 

Output:

2

Time Complexity : O(log n)

Auxiliary Space : O(log n) 

Another Approach:

The set bits in the binary form of a number (obtained using the bin() method) can be obtained using the count() method.

Python3
# Function to count set bits in a range def countSetBits(n, l, r): # convert n into its binary form # using bin() # and then process it using string # slice methods binary = bin(n)[-1:1:-1] # count all set bit '1' starting from index l-1 # to r, where r is exclusive print(binary[l - 1: r].count("1")) # Driver Code n = 42 l = 2 r = 5 countSetBits(n, l, r) #This code is contributed by phasing17 

Output
2 

Time Complexity : O(1)

Auxiliary Space: O(1)


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