Python工具可视化100k Vertices和1M Edges？ [英] Python tools to visualize 100k Vertices and 1M Edges?

问题描述

我正在寻找可视化的数据，希望能让它互动。现在我使用的是NetworkX和Matplotlib，当我试图绘制图形时，最大化了我的8GB。我不知道有哪些选项和技术可用于处理如此庞大的数据集群* * 。如果有人能指引我正确的方向，那会很棒。如果可以使用的话，我也有一个支持CUDA的GFX卡。

现在我正在考虑只绘制连接最多的节点，比如说顶部5％的边数最多的顶点，然后随着用户缩放填充连接较少的节点或点击。

解决方案

我没有任何经验，但 tulip 似乎是为此而设计的。

I'm looking to visualize the data, hopefully make it interactive. Right now I'm using NetworkX and Matplotlib, which maxes out my 8gb when I attempt to 'draw' the graph. I don't know what options and techniques exist for handling such a large cluster** of data. If someone could point me in the right direction, that'd be great. I also have a CUDA enabled GFX card if that could be of use.

Right now I'm thinking of drawing only the most connected nodes, say top 5% of vertices with the most edges, then filling in less connected nodes as the user zooms or clicks.

解决方案

I don't have any experience with it, but tulip seems to be made for that.

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