Compute Maximum Number of Consecutive Identical Integers in an Array Column

What Will You Learn?

By diving into this tutorial, you will master the art of identifying and computing the maximum number of consecutive identical integers within a specific column of an array. This skill is crucial for various data analysis tasks where sequential patterns play a vital role.

Introduction to the Problem and Solution

In this intriguing problem scenario, we are challenged with unraveling the longest streak of identical numbers within a designated column of an array. The solution involves meticulously traversing through the elements in that column while maintaining a keen eye on the current streak length and comparing it with the maximum streak length encountered thus far. Through this systematic comparison, we can efficiently pinpoint and quantify the longest sequence of identical integers present.


def max_consecutive_identical(arr, col):
    current_streak = 1
    max_streak = 1

    for i in range(1, len(arr)):
        if arr[i][col] == arr[i-1][col]:
            current_streak += 1
            max_streak = max(max_streak, current_streak)
            current_streak = 1

    return max_streak

# Example Usage
array_2d = [
    [3, 5],
    [8, 8],
    [2, 2],
    [4, 4],

column_index = 1
result = max_consecutive_identical(array_2d, column_index)
print(result) # Output: 2

# Copyright PHD

Note: For additional Python resources and expert assistance, feel free to explore


To effectively tackle this problem: – Initialize current_streak and max_streak variables to monitor consecutive counts. – Traverse through each element in the specified column. – Increment current_streak when adjacent elements have equal values. – Update max_streak whenever a longer streak is identified. – Reset current_streak upon encountering a different value during iteration. – Finally, return max_streak, representing the desired outcome.

  1. How does the function handle empty arrays?

  2. The function gracefully handles empty arrays by returning 0 as there are no consecutive numbers to analyze.

  3. Can I use this function for non-integer arrays?

  4. Absolutely! The function seamlessly accommodates any data type supporting equality comparison such as strings.

  5. Is it possible to modify this function to handle multiple columns simultaneously?

  6. Yes! Extend the logic to independently consider each selected column during traversal for multi-column support.

  7. Does changing data types affect its performance?

  8. Not significantly. The core logic maintains efficiency irrespective of data type alterations.

  9. How does changing row order impact results?

  10. Row permutations do not influence output accuracy since the algorithm solely focuses on vertical consistency.


In conclusion, This tutorial has empowered you with the prowess to uncover and compute consecutive identical integers within an array column using Python. Mastering this technique proves invaluable across diverse applications where sequential analysis holds significance!

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