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  3. Intermediate Network Analysis in Python

Exercise

Make nodelist

You're now going to practice converting graphs to pandas representation. If you have taken any of DataCamp's pandas courses, you will know that there is a DataFrame.to_csv('filename.csv') method that lets you save it as a CSV file, which is a human-readable version. The main concept we hope you take away from here is the process of converting a graph to a list of records.

Start by re-familiarizing yourself with the graph data structure by calling G.nodes(data=True)[0] in the IPython Shell to examine one node in the graph.

Instructions

100 XP
  • Initialize an empty node list called nodelist.
  • Use a for loop to iterate over the nodes of the G_people. Inside the loop:
    • Update the nodeinfo dictionary using the .update() method with d as the argument.
    • Append the nodeinfo dictionary to nodelist.
  • Create a pandas DataFrame of the nodelist called node_df using the pd.DataFrame() function.