200.岛屿数量-python

200.岛屿数量(中等)

题目大意:

给你一个由'1'(陆地)和'0'(水)组成的的二维网格,请你计算网格中岛屿的数量。

岛屿总是被水包围,并且每座岛屿只能由水平方向和/或竖直方向上相邻的陆地连接形成。

此外,你可以假设该网格的四条边均被水包围。

题目

题目链接

给你一个由'1'(陆地)和'0'(水)组成的的二维网格,请你计算网格中岛屿的数量。

岛屿总是被水包围,并且每座岛屿只能由水平方向和/或竖直方向上相邻的陆地连接形成。

此外,你可以假设该网格的四条边均被水包围。

示例1:

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输入:grid = [
["1","1","1","1","0"],
["1","1","0","1","0"],
["1","1","0","0","0"],
["0","0","0","0","0"]
]
输出:1

示例2:

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输入:grid = [
["1","1","0","0","0"],
["1","1","0","0","0"],
["0","0","1","0","0"],
["0","0","0","1","1"]
]
输出:3

提示:

  • m == grid.length
  • n == grid[i].length
  • 1 <= m, n <= 300
  • grid[i][j] 的值为 '0' 或 '1'

分析和解答

poj2386 Couting Lake的模板题目链接

走到每个位置上dfs,dfs不需要回溯所以很简单,就是把grid的所有状态修改了,这个题做过比较多次了比较熟悉了

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class Solution(object):
def numIslands(self, grid):
"""
:type grid: List[List[str]]
:rtype: int
"""
def dfs(x, y):
grid[x][y] = "0"
dx = [1, 0, -1, 0]
dy = [0, 1, 0, -1]
for i in range(4):
nx = x + dx[i]
ny = y + dy[i]
if 0 <= nx < len(grid) and 0 <= ny < len(grid[0]) and grid[nx][ny] == "1":
dfs(nx, ny)
cnt = 0
for i in range(len(grid)):
for j in range(len(grid[0])):
if grid[i][j] == "1":
cnt += 1
dfs(i, j)
return cnt

200.岛屿数量-python
http://example.com/2021/12/17/algorithms/leetcode-python/200-岛屿数量-python/
作者
Curious;
发布于
2021年12月17日
许可协议