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Python program to find difference between current time and given time

Last Updated : 28 Aug, 2023
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Given two times h1:m1 and h2:m2 denoting hours and minutes in 24 hours clock format. The current clock time is given by h1:m1. The task is to calculate the difference between two times in minutes and print the difference between two times in h:m format.

Examples:

Input : h1=7, m1=20, h2=9, m2=45 Output : 2 : 25 The current time is 7 : 20 and given time is 9 : 45. The difference between them is 145 minutes. The result is 2 : 25 after converting to h : m format. Input : h1=15, m1=23, h2=18, m2=54 Output : 3 : 31 The current time is 15 : 23 and given time is 18 : 54. The difference between them is 211 minutes. The result is 3 : 31 after converting to h : m format. Input : h1=16, m1=20, h2=16, m2=20 Output : Both times are same The current time is 16 : 20 and given time is also 16 : 20. The difference between them is 0 minutes. As the difference is 0, we are printing “Both are same times”.

Approach:

  • Convert both the times into minutes
  • Find the difference in minutes
  • Ff difference is 0, print “Both are same times”
  • Else convert difference into h : m format and print

Below is the implementation. 

Python3




# Python program to find the
# difference between two times
 
 
# function to obtain the time
# in minutes form
def difference(h1, m1, h2, m2):
     
    # convert h1 : m1 into
    # minutes
    t1 = h1 * 60 + m1
     
    # convert h2 : m2 into
    # minutes
    t2 = h2 * 60 + m2
     
    if (t1 == t2):
        print("Both are same times")
        return
    else:
         
        # calculating the difference
        diff = t2-t1
         
    # calculating hours from
    # difference
    h = (int(diff / 60)) % 24
     
    # calculating minutes from
    # difference
    m = diff % 60
 
    print(h, ":", m)
 
# Driver's code
if __name__ == "__main__":
     
    difference(7, 20, 9, 45)
    difference(15, 23, 18, 54)
    difference(16, 20, 16, 20)
 
# This code is contributed by SrujayReddy


Output:

2 : 25
3 : 31
Both are same times

Time complexity: O(1) – the function only performs basic arithmetic operations which take constant time.

Auxiliary space: O(1) – the function uses a constant amount of memory to store the input variables, local variables, and output.



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