我如何从 python 我的数据集中的文本文件读取并在其上应用矩阵

Question

我想应用从文件文本中获取数据的相邻矩阵并应用矩阵，然后输出将是零和一

这是我存储在文件文本中的数据集的代码

mylist= ['T','C','A','G']

with open("codon2.txt", "w") as f_out:
    for i in range(0,len(mylist)):
         for j in range(0,len(mylist)):
            f_out.write('\n')
            for k in range(0,len(mylist)):
             f_out.write(mylist[i]+mylist[k]+mylist[j])
             f_out.write(' ')

Answer 1

我完全假设了一切，希望这就是您要找的。下面的代码，将设置邻接矩阵（首先只包含 0's），然后将相邻节点的 0's 转换为 1's。

class Graph:
    def __init__(self, numNodes):
        self.adjacencyMatrix = []
        for i in range(numNodes): 
            self.adjacencyMatrix.append([0 for i in range(numNodes)])
        self.numNodes = numNodes

    def addEdge(self, start, end):
        self.adjacencyMatrix[start][end] = 1


# random example
edges_list = [[1, 2], [0, 1], [2, 3]]

# assuming number of nodes is 4
graph = Graph(4)

# converts 0's to 1's for adjacent nodes
for i in edges_list:
    graph.addEdge(i[0], i[1])

with open("codon2.txt", "w") as f_out:
    for i in graph.adjacencyMatrix:
        for j in i:
            f_out.write(str(j))
        f_out.write('\n')

我如何从 python 我的数据集中的文本文件读取并在其上应用矩阵

how I read from text file in python my dataset and applying the matrix on it

python

list

file

matrix

adjacency-matrix