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DSA Pythonprogramming~5 mins

Container With Most Water in DSA Python - Time & Space Complexity

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Time Complexity: Container With Most Water
O(n)
Understanding Time Complexity

We want to understand how the time needed to find the container with the most water changes as the number of lines grows.

How does the number of steps grow when we have more lines to check?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.


    def max_area(height):
        left, right = 0, len(height) - 1
        max_water = 0
        while left < right:
            width = right - left
            current_height = min(height[left], height[right])
            max_water = max(max_water, width * current_height)
            if height[left] < height[right]:
                left += 1
            else:
                right -= 1
        return max_water
    

This code finds the maximum water container by moving two pointers from both ends towards the center.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

  • Primary operation: The while loop that moves the left and right pointers towards each other.
  • How many times: At most, it runs once for each element from both ends, so about n times where n is the number of lines.
How Execution Grows With Input

As the number of lines increases, the number of steps grows roughly in a straight line.

Input Size (n)Approx. Operations
10About 10 steps
100About 100 steps
1000About 1000 steps

Pattern observation: The steps increase directly with the number of lines, so doubling the lines roughly doubles the work.

Final Time Complexity

Time Complexity: O(n)

This means the time to find the max water grows in a straight line with the number of lines.

Common Mistake

[X] Wrong: "Because there are two pointers, the time is O(n²) since we check pairs."

[OK] Correct: The pointers only move inward once each step, so total steps are just n, not n times n.

Interview Connect

Understanding this linear time approach shows you can find efficient solutions by smartly moving pointers instead of checking all pairs.

Self-Check

"What if we used a nested loop to check every pair of lines? How would the time complexity change?"

Practice

(1/5)
1. What does the problem Container With Most Water ask you to find given an array of heights?
easy
A. The maximum area formed between two vertical lines and the x-axis
B. The minimum height in the array
C. The sum of all heights in the array
D. The number of lines taller than a given height

Solution

  1. Step 1: Understand the problem statement

    The problem asks to find two lines that together with the x-axis form a container holding the most water, which means the maximum area between two vertical lines.
  2. Step 2: Identify what to calculate

    We calculate the area as the width between two lines multiplied by the smaller height of the two lines.
  3. Final Answer:

    The maximum area formed between two vertical lines and the x-axis -> Option A
  4. Quick Check:

    Container with most water = maximum area [OK]
Hint: Look for max area between two heights, not sum or count [OK]
Common Mistakes:
  • Confusing area with sum of heights
  • Looking for minimum height only
  • Counting lines instead of calculating area
2. Which of the following is the correct way to initialize two pointers for the Container With Most Water problem in Python?
easy
A. left, right = 1, len(height)
B. left, right = 0, len(height) - 1
C. left = 0; right = len(height)
D. left, right = len(height), 0

Solution

  1. Step 1: Understand pointer initialization

    We start with two pointers at the edges of the array: left at 0 and right at the last index, which is length minus one.
  2. Step 2: Check each option

    left, right = 0, len(height) - 1 correctly sets left to 0 and right to len(height) - 1. Others either start at wrong indices or exceed array bounds.
  3. Final Answer:

    left, right = 0, len(height) - 1 -> Option B
  4. Quick Check:

    Start pointers at array ends = left, right = 0, len(height) - 1 [OK]
Hint: Start pointers at first and last index [OK]
Common Mistakes:
  • Setting right pointer to len(height) (out of range)
  • Starting left pointer at 1 instead of 0
  • Swapping left and right initialization
3. What is the output of the following Python code for the Container With Most Water problem?
def max_area(height):
    left, right = 0, len(height) - 1
    max_area = 0
    while left < right:
        width = right - left
        area = min(height[left], height[right]) * width
        max_area = max(max_area, area)
        if height[left] < height[right]:
            left += 1
        else:
            right -= 1
    return max_area

print(max_area([1,8,6,2,5,4,8,3,7]))
medium
A. 49
B. 56
C. 64
D. 72

Solution

  1. Step 1: Trace the two-pointer approach

    Start with left=0 (height=1), right=8 (height=7), area = min(1,7)*8=8. Move left pointer since height[left]
  2. Step 2: Continue moving pointers and update max_area

    Next left=1 (8), right=8 (7), area = min(8,7)*7=49 (max_area updated). Then right moves left, area decreases. Max area remains 49.
  3. Final Answer:

    49 -> Option A
  4. Quick Check:

    Max area calculated = 49 [OK]
Hint: Move pointer with smaller height to find max area [OK]
Common Mistakes:
  • Calculating area with max height instead of min
  • Not updating max_area correctly
  • Moving wrong pointer in the loop
4. Find the error in the following code snippet for Container With Most Water and select the fix:
def max_area(height):
    left, right = 0, len(height) - 1
    max_area = 0
    while left <= right:
        width = right - left
        area = min(height[left], height[right]) * width
        max_area = max(max_area, area)
        if height[left] < height[right]:
            left += 1
        else:
            right -= 1
    return max_area
medium
A. Increment both left and right pointers inside the loop
B. Initialize max_area to 1 instead of 0
C. Use max(height[left], height[right]) instead of min
D. Change while condition to 'left < right'

Solution

  1. Step 1: Analyze the loop condition

    The loop uses 'while left <= right', which allows left and right to be equal, causing width to be zero and area zero, which is unnecessary.
  2. Step 2: Correct the loop condition

    Changing to 'while left < right' ensures pointers do not cross or become equal, avoiding zero width and redundant calculations.
  3. Final Answer:

    Change while condition to 'left < right' -> Option D
  4. Quick Check:

    Loop until pointers cross, not equal [OK]
Hint: Use 'left < right' to avoid zero width area [OK]
Common Mistakes:
  • Using <= causes zero width calculation
  • Using max instead of min for height
  • Moving both pointers at once
5. Given the heights array [4,3,2,1,4], what is the maximum water container area and which pair of lines form it?
hard
A. 12, formed by lines at indices 1 and 4
B. 9, formed by lines at indices 0 and 3
C. 16, formed by lines at indices 0 and 4
D. 8, formed by lines at indices 2 and 4

Solution

  1. Step 1: Calculate area between lines at indices 0 and 4

    Height = min(4,4) = 4, width = 4 - 0 = 4, area = 4 * 4 = 16.
  2. Step 2: Check other pairs for larger area

    Pairs (1,4): min(3,4)*3=9; (0,3): min(4,1)*3=3; (2,4): min(2,4)*2=4. None exceed 16.
  3. Final Answer:

    16, formed by lines at indices 0 and 4 -> Option C
  4. Quick Check:

    Max area = 16 from edges [OK]
Hint: Check edges first, then move inward [OK]
Common Mistakes:
  • Ignoring width when calculating area
  • Using max height instead of min
  • Not checking all pairs properly
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