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Create a graph from the pandas DataFrame

Let's start by creating a graph from a pandas DataFrame. In this exercise, you'll create a new bipartite graph by looping over the edgelist (which is a DataFrame object).

For simplicity's sake, in this graph construction procedure, any edge between a student and a forum node will be the 'last' edge (in time) that a student posted to a forum over the entire time span of the dataset, though there are ways to get around this.

Additionally, to shorten the runtime of the exercise, we have provided a sub-sampled version of the edge list as data. Explore it in the IPython Shell to familiarize yourself with it.

This exercise is part of the course

Intermediate Network Analysis in Python

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Exercise instructions

  • Instantiate a new Graph called G.
  • Add nodes from each of the partitions. Use the .add_nodes_from() method to do this. The two partitions are 'student' and 'forum'. To add nodes from the 'student' partition, for example, the arguments to .add_nodes_from() would be data['student'] and bipartite='student'.
  • Add in each edge along with the date the edge was created. To do this, use the .add_edge() method inside the loop, with the arguments d['student'], d['forum'], and date=d['date'].

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

import networkx as nx

# Instantiate a new Graph: G
G = ____

# Add nodes from each of the partitions
____
____

# Add in each edge along with the date the edge was created
for r, d in data.iterrows():
    ____
Edit and Run Code