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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.

Diese Übung ist Teil des Kurses

Intermediate Network Analysis in Python

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Anleitung zur Übung

  • 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'].

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

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():
    ____
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