我正在尝试找到一种方法来查找列表列表中给定节点的所有邻居。该数组如下所示:
0,2,4,1,6,0,0
2,0,0,0,5,0,0
4,0,0,0,5,5,0
1,0,0,0,1,1,0
6,5,0,1,0,5,5
0,0,5,1,5,0,0
0,0,0,0,5,0,0
到目前为止我的代码是:
#!/usr/bin/python
#holds all source nodes
source = []
#read in and store the matrix
def create_matrix(file):
with open('network.txt') as f:
Alist = []
for line in f:
part = []
for x in line.split(','):
part.append(int(x))
Alist.append(part)
return Alist
def check_neighbours(Alist):
i = iter(Alist)
item = i.next()
source.append(item)
print source
file = ("F:/media/KINGSTON/Networking/network.txt")
Alist = create_matrix(file)
check_neighbours(Alist)
显然这只会输出矩阵的第一行,但我想要一些不同的东西。例如,我将从节点 [0,0] 开始,它是 0,然后找到 [0,1] 和 [1,0]。但如果我不在矩阵的边缘,我还需要查看 3x3 半径。我知道如何找到当前节点右侧的下一个邻居,但我真的不确定如何找到节点旁边的任何内容,其中也包括对角线节点。
最佳答案
您需要一个 8 邻域算法,它实际上只是从列表列表中选择索引。
# i and j are the indices for the node whose neighbors you want to find
def find_neighbors(m, i, j, dist=1):
return [row[max(0, j-dist):j+dist+1] for row in m[max(0, i-1):i+dist+1]]
然后可以通过以下方式调用:
m = create_matrix(file)
i = some_y_location
j = some_x_location
neighbors = find_neighbors(m, i, j)
没有列表压缩的实现:
def find_neighbors(m, i, j, dist=1):
neighbors = []
i_min = max(0, i-dist)
i_max = i+dist+1
j_low = max(0, j-dist)
j_max = j+dist+1
for row in m[i_min:i_max]:
neighbors.append(row[j_min:j_max])
return neighbors
您需要对 i/j_min 进行最大调用以避免负索引,但过大的上限值会由列表切片自动处理。
如果您希望这些行列表作为单个元素列表,您需要添加:
neighbors = [elem for nlist in neighbors for elem in nlist]
这会展平列表的列表。
如果您想要邻居的指标(可能有更清洁的解决方案):
def find_neighbor_indices(m, i, j, dist=1):
irange = range(max(0, i-dist), min(len(m), i+dist+1))
if len(m) > 0:
jrange = range(max(0, j-dist), min(len(m[0]), j+dist+1))
else:
jrange = []
for icheck in irange:
for jcheck in jrange:
# Skip when i==icheck and j==jcheck
if icheck != i or jcheck != j:
neighbors.append((icheck, jcheck))
return neighbors
关于python 在列表列表中查找给定节点的所有邻居,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/15913489/