Exporting and visualising your graph

There are many different formats and libraries that you can use to export your graphs. In this section we explore two of these, Pandas dataframes and NetworkX graphs.

All functions mentioned in this section work on graphs, nodes, and edges and their matching views. This allows you to specify different windows, layers and subgraphs before conversion.

By default, exporting will include all properties and all update history. However, this can be modified via flags on each export function, depending on use case requirements. You can find a description of these flags in the API docs for the function.

The following example reuses the network traffic dataset from the ingestion tutorial and the monkey interaction network from the querying tutorial. In the below code example you can get a refresher of what these datasets looks like.