[Leetcode] 0200. Number Of Islands

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内容目录

Medium


Given an mxn 2D binary grid grid which represents a map of '1's (land) and '0's (water), return the number of islands.

An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are all surrounded by water.

 

Example 1:

Input: grid = [ ["1","1","1","1","0"], ["1","1","0","1","0"], ["1 ","1","0","0","0"], ["0","0","0","0","0"] ]
Output: 1

Example 2:

Input: grid = [ ["1","1","0","0","0"], ["1","1","0","0","0"], ["0 ","0","1","0","0"], ["0","0","0","1","1"] ]
Output: 3

 

Constraints:

  • m == grid.length
  • n == grid[i].length
  • 1 <= m, n <= 300
  • grid[i][j] is '0' or '1'.

Python

				
					# time complexity: O(m*n) # space complexity: O(m*n) from typing import List class Solution: def dfs(self, grid: List[List[str]], r: int, c: int) -> None: nR = len(grid) nC = len(grid[0]) grid[r][c] = '0' if r - 1 >= 0 and grid[r - 1][c] == " 1": self.dfs(grid, r - 1, c) if r + 1 < nR and grid[r + 1][c] == "1": self.dfs(grid, r + 1, c) if c - 1 >= 0 and grid[r][c - 1] == "1": self.dfs(grid, r, c - 1) if c + 1 < nC and grid[r][c + 1] == "1": self.dfs(grid, r, c + 1) def numIslands(self, grid: List[List[str]]) -> int: if not grid: return 0 numIslands = 0 for r in range (len(grid)): for c in range(len(grid[0])): if grid[r][c] == '1': numIslands += 1 self.dfs(grid, r, c) return numIslands grid = [ ["1", "1", "0", "0", "0"], ["1", "1", "0", "0", "0"], [" 0", "0", "1", "0", "0"], ["0", "0", "0", "1", "1"] ] print(Solution().numIslands( grid))
				
			
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