nx.to_numpy_matrix
时间: 2023-10-05 09:10:40 浏览: 49
As an AI language model, I don't have access to the specific implementation of `nx.to_numpy_matrix`. However, I can explain what it does.
`nx.to_numpy_matrix` is a method in the NetworkX library that converts a graph to a NumPy matrix. The resulting matrix is a square matrix, where the rows and columns represent the nodes in the graph, and the values in the matrix represent the edges between the nodes.
The edges can be represented in different ways, depending on the `weight` parameter. If `weight=None`, the matrix will contain 0's and 1's, where a 1 indicates the presence of an edge between two nodes, and a 0 indicates the absence of an edge. If `weight='weight'`, the matrix will contain the weight of each edge between two nodes.
This method is useful for performing matrix operations on graphs, such as computing shortest paths or clustering coefficients.