Number of Islands
Medium
GraphsDFSBFS
Problem
Given a 2-D grid of "1" (land) and "0" (water), return the number of islands. Islands connect horizontally and vertically.
Example 1
Input: grid = [["1","1","0","0"],["1","1","0","0"],["0","0","1","0"],["0","0","0","1"]]
Output: 3
Constraints
- 1 ≤ rows, cols ≤ 300
- cells are "0" or "1"
Approach — Graphs
This is a Graphs problem. The idea: explore the graph with BFS or DFS, marking nodes visited so you never process one twice. Work through the reference code below line by line, then re-derive it yourself in the editor — that's how the pattern sticks.
Complexity: O(V + E) time.
Solution code
Python
class Solution:
def numIslands(self, grid):
if not grid:
return 0
rows, cols = len(grid), len(grid[0])
g = [list(r) for r in grid]
def dfs(r, c):
if r < 0 or c < 0 or r >= rows or c >= cols or g[r][c] != '1':
return
g[r][c] = '0'
dfs(r + 1, c); dfs(r - 1, c); dfs(r, c + 1); dfs(r, c - 1)
count = 0
for r in range(rows):
for c in range(cols):
if g[r][c] == '1':
count += 1
dfs(r, c)
return count
Java
class Solution {
public int numIslands(char[][] grid) {
int count = 0;
for (int r = 0; r < grid.length; r++) {
for (int c = 0; c < grid[0].length; c++) {
if (grid[r][c] == '1') {
dfs(grid, r, c);
count++;
}
}
}
return count;
}
private void dfs(char[][] grid, int r, int c) {
if (r < 0 || c < 0 || r >= grid.length || c >= grid[0].length) {
return;
}
if (grid[r][c] != '1') {
return;
}
grid[r][c] = '0';
dfs(grid, r + 1, c);
dfs(grid, r - 1, c);
dfs(grid, r, c + 1);
dfs(grid, r, c - 1);
}
}
Practice it
Reading a solution isn't the same as being able to write it under pressure. Open this problem in the in-browser editor, hide the solution, and solve it from scratch — your code runs against real test cases instantly.
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