Row/Column Maxima, Transpose & Formatting
Find row/column maxima safely (jagged-aware) and build matrix transposes (rectangular and jagged). Practice aligned printing.
Row/Column Maxima, Transpose & Formatting is a free Java Academy lesson on CoddyKit — lesson 3 of 6. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Java Academy learning path, one of 6 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Row Maxima
Row maxima: compute the max of each row by scanning its elements once.
public class Main {
public static void main(String[] args) {
// Example jagged array
int[][] m = {
{1, 7, 3},
{4, 9, 2, 11},
{6}
};
int r = 1; // choose which row to check (row index 1 → {4, 9, 2, 11})
// Max of a single row r
int max = Integer.MIN_VALUE; // start with very small number
for (int c = 0; c < m[r].length; c = c + 1) {
if (m[r][c] > max) {
max = m[r][c]; // update if current value is larger
}
}
System.out.println("Max value in row " + r + " = " + max);
}
}
Column Maxima
Column maxima in jagged arrays: check each row's length before reading column c.
public class Main {
public static void main(String[] args) {
// Example jagged array (rows with different lengths)
int[][] m = {
{1, 7, 3},
{4, 9}, // shorter row (only 2 columns)
{6, 2, 11, 5} // longer row (4 columns)
};
int c = 2; // column index to check (3rd column)
// Max of column c across all rows
int colMax = Integer.MIN_VALUE;
for (int r = 0; r < m.length; r = r + 1) {
// Guard: only access if this row has column c
if (c < m[r].length) {
if (m[r][c] > colMax) {
colMax = m[r][c]; // update maximum
}
}
}
System.out.println("Max value in column " + c + " = " + colMax);
}
}
Transpose Rect
Transpose (rectangular): swap rows and columns when all rows have the same length.
public class Main {
public static void main(String[] args) {
// Example 2D rectangular matrix (3 rows × 2 columns)
int[][] m = {
{1, 2},
{3, 4},
{5, 6}
};
// Dimensions
int rows = m.length; // number of rows in m
int cols = m[0].length; // number of columns in m
// Transposed matrix (C × R)
int[][] t = new int[cols][rows];
// Fill transposed matrix
for (int r = 0; r < rows; r = r + 1) {
for (int c = 0; c < cols; c = c + 1) {
t[c][r] = m[r][c]; // swap row/column
}
}
// Print original matrix
System.out.println("Original matrix:");
for (int r = 0; r < rows; r++) {
for (int c = 0; c < cols; c++) {
System.out.print(m[r][c] + " ");
}
System.out.println();
}
// Print transposed matrix
System.out.println("Transposed matrix:");
for (int r = 0; r < t.length; r++) {
for (int c = 0; c < t[r].length; c++) {
System.out.print(t[r][c] + " ");
}
System.out.println();
}
}
}
Transpose Jagged
Transpose (jagged): create columns as rows, sizing each using the longest row length and guarding reads.
public class Main {
public static void main(String[] args) {
// Example jagged array (rows of different lengths)
int[][] m = {
{1, 2, 3},
{4, 5},
{6}
};
// 1) Find the maximum number of columns across all rows
int maxCols = 0;
for (int r = 0; r < m.length; r = r + 1) {
if (m[r].length > maxCols) {
maxCols = m[r].length;
}
}
// 2) Create transpose: it will have maxCols rows
int[][] t = new int[maxCols][];
// 3) Fill the transposed matrix
for (int c = 0; c < maxCols; c = c + 1) {
// Each transposed row has as many elements as original rows
t[c] = new int[m.length];
for (int r = 0; r < m.length; r = r + 1) {
// If row is too short, pad with 0
t[c][r] = (c < m[r].length) ? m[r][c] : 0;
}
}
// Print original jagged array
System.out.println("Original jagged array:");
for (int r = 0; r < m.length; r++) {
for (int c = 0; c < m[r].length; c++) {
System.out.print(m[r][c] + " ");
}
System.out.println();
}
// Print transposed array
System.out.println("Jagged-safe transpose:");
for (int r = 0; r < t.length; r++) {
for (int c = 0; c < t[r].length; c++) {
System.out.print(t[r][c] + " ");
}
System.out.println();
}
}
}
Formatting Helpers
Use helpers to compute column widths and print aligned matrices for comparison.
public class Main {
// Compute per-column widths for a (possibly jagged) 2D int array.
// For each column index c, we find the longest string length among m[r][c] (for rows that have that column).
static int[] widths(int[][] m) {
// 1) Find the maximum number of columns across all rows
int maxCols = 0;
for (int r = 0; r < m.length; r = r + 1) {
if (m[r].length > maxCols) maxCols = m[r].length;
}
// 2) Prepare width array (initialized to 0)
int[] w = new int[maxCols];
// 3) For each existing cell, compute the string length and keep the max per column
for (int r = 0; r < m.length; r = r + 1) {
for (int c = 0; c < m[r].length; c = c + 1) {
int len = Integer.toString(m[r][c]).length();
if (len > w[c]) w[c] = len;
}
}
// 4) Ensure each column has at least width 1
for (int c = 0; c < w.length; c = c + 1) {
if (w[c] < 1) w[c] = 1;
}
return w;
}
// Print a (possibly jagged) matrix so that each column is right-aligned using the widths[] computed above.
static void printAligned(int[][] m) {
int[] w = widths(m); // column widths
for (int r = 0; r < m.length; r = r + 1) {
String line = "";
for (int c = 0; c < m[r].length; c = c + 1) {
// Convert number to string
String s = Integer.toString(m[r][c]);
// Left-pad with spaces until it matches the target column width
while (s.length() < w[c]) s = " " + s;
// Append to the line; add a single space between columns (but not after the last one)
line = line + s + (c + 1 < m[r].length ? " " : "");
}
// Print the fully assembled row
System.out.println(line);
}
}
public static void main(String[] args) {
// Demo with a jagged matrix (different row lengths)
int[][] m = {
{1, 200, 3},
{45, 6},
{7, 89, 1000, 11}
};
System.out.println("Aligned output:");
printAligned(m);
}
}
Transpose Demo
Run it: Compare aligned prints of a rectangular matrix and its transpose, then a jagged matrix, its column maxima, and padded transpose.
public class Main {
// Compute column maxima (jagged-safe)
static int[] colMaxima(int[][] m) {
int maxCols = 0;
for (int r = 0; r < m.length; r = r + 1) if (m[r].length > maxCols) maxCols = m[r].length;
int[] max = new int[maxCols];
for (int c = 0; c < maxCols; c = c + 1) {
int best = Integer.MIN_VALUE;
boolean seen = false;
for (int r = 0; r < m.length; r = r + 1) {
if (c < m[r].length) {
if (!seen || m[r][c] > best) { best = m[r][c]; seen = true; }
}
}
max[c] = seen ? best : 0;
}
return max;
}
// Transpose rectangular
static int[][] transposeRect(int[][] m) {
int rows = m.length;
int cols = m[0].length;
int[][] t = new int[cols][rows];
for (int r = 0; r < rows; r = r + 1) {
for (int c = 0; c < cols; c = c + 1) t[c][r] = m[r][c];
}
return t;
}
// Jagged-safe transpose (pads missing with 0)
static int[][] transposeJagged(int[][] m) {
int maxCols = 0;
for (int r = 0; r < m.length; r = r + 1) if (m[r].length > maxCols) maxCols = m[r].length;
int[][] t = new int[maxCols][];
for (int c = 0; c < maxCols; c = c + 1) {
t[c] = new int[m.length];
for (int r = 0; r < m.length; r = r + 1) t[c][r] = (c < m[r].length) ? m[r][c] : 0;
}
return t;
}
// Helpers
static int[] widths(int[][] m) {
int maxCols = 0;
for (int r = 0; r < m.length; r = r + 1) if (m[r].length > maxCols) maxCols = m[r].length;
int[] w = new int[maxCols];
for (int r = 0; r < m.length; r = r + 1) {
for (int c = 0; c < m[r].length; c = c + 1) {
int len = Integer.toString(m[r][c]).length();
if (len > w[c]) w[c] = len;
}
}
for (int c = 0; c < w.length; c = c + 1) if (w[c] < 1) w[c] = 1;
return w;
}
static void printAligned(int[][] m) {
int[] w = widths(m);
for (int r = 0; r < m.length; r = r + 1) {
String line = "";
for (int c = 0; c < m[r].length; c = c + 1) {
String s = Integer.toString(m[r][c]);
while (s.length() < w[c]) s = " " + s;
line = line + s + (c + 1 < m[r].length ? " " : "");
}
System.out.println(line);
}
}
public static void main(String[] args) {
// Rectangular example for transpose
int[][] rect = {
{1, 2, 3},
{4, 5, 6}
};
// Jagged example for maxima and jagged transpose
int[][] jag = {
{9, 12, 7},
{5},
{8, 10}
};
System.out.println("rect:");
printAligned(rect);
System.out.println("transpose(rect):");
printAligned(transposeRect(rect));
System.out.println("jag (jagged):");
printAligned(jag);
int[] cm = colMaxima(jag);
System.out.print("col maxima: ");
for (int i = 0; i < cm.length; i = i + 1) System.out.print(cm[i] + (i + 1 < cm.length ? " " : ""));
System.out.println();
System.out.println("transpose(jag, padded):");
printAligned(transposeJagged(jag));
}
}
Column Max Check
Quick check: For a jagged matrix, how do you compute the maximum of column c?
Recap & Next
Recap: You computed row/column maxima, transposed rectangular matrices, and built a jagged-safe transpose with padding. You also formatted aligned output.
Frequently asked questions
Is the “Row/Column Maxima, Transpose & Formatting” lesson free?
Yes — the full text of “Row/Column Maxima, Transpose & Formatting” is free to read here on the web, and the Java Academy course includes 6 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Java Academy course, upgrade to CoddyKit PRO.
What will I learn in “Row/Column Maxima, Transpose & Formatting”?
Find row/column maxima safely (jagged-aware) and build matrix transposes (rectangular and jagged). Practice aligned printing. You practise Java Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Java Academy?
No prior experience is required. Java Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 3 of 6, so you can start here or from the beginning and move at your own pace.
How long does the “Row/Column Maxima, Transpose & Formatting” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Java Academy lesson?
Yes. Every Java Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- 2D Array Basics & Nested Iteration
- Jagged Arrays & Table Formatting
- Row/Column Maxima, Transpose & Formatting
- 2D Mini-Project: Gradebook
- 2D Utilities as a Helper Class (Refactor)
- 2D Data Cleaning & Validation