我制作了一个直线图表,并通过一个方案,发现其中的所有周期。 在编造图表之后,图一想改变包含周期中 involved的边缘的颜色。
我正在使用图表。
请帮助
我制作了一个直线图表,并通过一个方案,发现其中的所有周期。 在编造图表之后,图一想改变包含周期中 involved的边缘的颜色。
我正在使用图表。
请帮助
与此类似:
vertex_set = set(vertices_in_cycle)
g.es["color"] = "black"
red_edges = g.es.select(_source_in=vertex_set, _target_in=vertex_set)
red_edges["color"] = "red"
解释:
<代码>g.es是图表中所有栏目。 (同样,g.vs
是所有vert。)
g.es["color"]
lets you assign a value to the color
attribute of all the edges in the graph. This edge attribute is used by the plotter to decide what color an edge should have. Therefore, in line 2, you are setting the color of all the edges to black. (Note: you could also use a list here instead of a simple string, or you could use HTML color notations for custom colors).
您可使用<代码>g.es作为清单,在这种情况下,您可取得图表的特定优势;例如,<代码>,例如,<<<<>>>/code>将给你贴近2。 这里没有使用,但很想知道。
help(EdgeSeq.select)
使你对此更感动;这里的问题是,在第3行中,你选择了所有顶点,而两端点都位于外墙上。 选定的对口存放在<代码>red_vants变量上,其类型与g.es
(即EdgeSeq
)。
在最后一段中,你正在把所有边缘的彩色放在“条形”栏目中,即“红外线”和“条形”栏目中,这超越了你在第2行中确定的黑色。
请注意,上述法典将不仅标明周期的边缘,而且标明周期的所有cho。
<>Update:如果上述法典第3行不为你工作,你可以将第2和第3行改为:
g.es["color"] = ["red" if (edge.source in vertex_set and
edge.target in vertex_set) else "black"
for edge in g.es]
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