如何显示/可视化由GraphFrame创建的图形



我用GraphFrame创建了一个图形

g = GraphFrame (vertices, edges)

除了使用 GraphFrame 提供的查询和属性分析图形之外,我还想可视化要在演示文稿中使用的图形。

您知道任何工具/库/API/代码允许以简单的方式进行这种可视化吗?

不是一个简单的方法,但你可以使用python-igraph库,https://igraph.org/。我从R中使用了它,但python应该类似。请参阅下面的简单示例。所有这些工具的主要问题,您应该仔细选择要绘制的小子图。

安装它:

#>pip install python-igraph

最简单的可视化:

g = GraphFrame (vertices, edges)
from igraph import *
ig = Graph.TupleList(g.edges.collect(), directed=True)
plot(ig)

另一种方法是使用图形模块 networkx 中的绘图功能

import networkx as nx
from graphframes import GraphFrame
def PlotGraph(edge_list):
    Gplot=nx.Graph()
    for row in edge_list.select('src','dst').take(1000):
        Gplot.add_edge(row['src'],row['dst'])
    plt.subplot(121)
    nx.draw(Gplot)

spark = SparkSession 
    .builder 
    .appName("PlotAPp") 
    .getOrCreate()
sqlContext = SQLContext(spark)
vertices = sqlContext.createDataFrame([
  ("a", "Alice", 34),
  ("b", "Bob", 36),
  ("c", "Charlie", 30),
  ("d", "David", 29),
  ("e", "Esther", 32),
("e1", "Esther2", 32),
  ("f", "Fanny", 36),
  ("g", "Gabby", 60),
    ("h", "Mark", 61),
    ("i", "Gunter", 62),
    ("j", "Marit", 63)], ["id", "name", "age"])
edges = sqlContext.createDataFrame([
  ("a", "b", "friend"),
  ("b", "a", "follow"),
  ("c", "a", "follow"),
  ("c", "f", "follow"),
  ("g", "h", "follow"),
  ("h", "i", "friend"),
  ("h", "j", "friend"),
  ("j", "h", "friend"),
    ("e", "e1", "friend")
], ["src", "dst", "relationship"])
g = GraphFrame(vertices, edges)
PlotGraph(g.edges)

参见 PYSPARK: 如何可视化 GraphFrame?

尝试了

igraph解决方案,但plot(ig)引发错误:AttributeError: Plotting not available; please install pycairo or cairocffi

所以我只是将图表保存为 SVG,这工作正常:

ig.write_svg('/tmp/ig.svg')

干杯

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