python複雜網路庫networkx:繪圖draw
阿新 • • 發佈:2019-02-04
networkx使用matplotlib繪製函式
draw (G[, pos, ax, hold]) | Draw the graph G with Matplotlib. |
draw_networkx (G[, pos, arrows, with_labels]) | Draw the graph G using Matplotlib. |
Draw the nodes of the graph G. | |
Draw the edges of the graph G. | |
Draw node labels on the graph G. | |
Draw the graph G with a circular layout. | |
Draw the graph G with a random layout. | |
Draw the graph G with a spectral layout. | |
Draw the graph G with a spring layout. | |
Draw networkx graph with shell layout. | |
Draw networkx graph with graphviz layout. |
networkx使用Graphviz AGraph (dot)繪製函式
from_agraph (A[, create_using]) | Return a NetworkX Graph or DiGraph from a PyGraphviz graph. |
Return a pygraphviz graph from a NetworkX graph N. | |
Write NetworkX graph G to Graphviz dot format on path. | |
Return a NetworkX graph from a dot file on path. | |
Create node positions for G using Graphviz. | |
Create node positions for G using Graphviz. |
networkx使用Graphviz with pydot繪製函式
Return a NetworkX graph from a Pydot graph. | |
to_pydot (N[, strict]) | Return a pydot graph from a NetworkX graph N. |
Write NetworkX graph G to Graphviz dot format on path. | |
Return a NetworkX MultiGraph or MultiDiGraph from a dot file on path. | |
Create node positions using Pydot and Graphviz. | |
Create node positions using Pydot and Graphviz. |
圖佈局Graph Layout
Position nodes on a circle. | |
Position nodes using Fruchterman-Reingold force-directed algorithm. | |
random_layout (G[, dim, scale, center]) | Position nodes uniformly at random. |
shell_layout (G[, nlist, dim, scale, center]) | Position nodes in concentric circles. |
spring_layout (G[, dim, k, pos, fixed, ...]) | Position nodes using Fruchterman-Reingold force-directed algorithm. |
spectral_layout (G[, dim, weight, scale, center]) | Position nodes using the eigenvectors of the graph Laplacian. |
networkx繪圖示例
def drawGraph(fg, title='weighted_graph'): import matplotlib.pyplot as plt import networkx as nx pos = nx.spring_layout(fg) nx.draw_networkx_nodes(fg, pos, node_shape='.', node_size=20) nx.draw_networkx_edges(fg, pos) nx.draw_networkx_labels(fg, pos) nx.draw_networkx_edge_labels(fg, pos, edge_labels=nx.get_edge_attributes(fg, 'weight')) plt.savefig(os.path.join(CWD, '../PGT/middlewares/' + title + '.png')) plt.show()