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:
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:
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'
dfs搜索
逐一遍历每个元素,然后进行dfs搜索
dfs搜索就是(上下左右四个方向,如果超过边界或者为0停止搜索)
但是在搜索的过程中需要注意将已经搜过的置为0,避免重复搜索
class Solution:
def numIslands(self, grid: List[List[str]]) -> int:
count =0
def dfs(i,j):
if not 0<=i<len(grid) or not 0<=j<len(grid[0]) or grid[i][j]=="0":
return
grid[i][j]="0"
dfs(i,j-1)
dfs(i,j+1)
dfs(i-1,j)
dfs(i+1,j)
for i in range(len(grid)):
for j in range(len(grid[0])):
if grid[i][j]=="1":
dfs(i,j)
count+=1
return count