Time filter on edges
You're now going to practice filtering the graph using a conditional as applied to the edges. This will help you gain practice and become comfortable with list comprehensions that contain conditionals.
To help you with the exercises, remember that you can import datetime
objects from the datetime
module. On the graph, the metadata has a date
key that is paired with a datetime
object as a value.
This exercise is part of the course
Intermediate Network Analysis in Python
Exercise instructions
- Instantiate a new graph called
G_sub
. - Add nodes from the original graph (including the node metadata), using the
.add_nodes_from()
method. - Add edges using a list comprehension with one conditional on the edge dates, that the date of the edge is earlier than 2004-05-16. To do this:
- Use the
.add_edges_from()
method with a list comprehension as the argument. - The output expression of the list comprehension is
(u, v, d)
. Iterate over all the edges ofG
and check whetherd['date']
is less thandatetime(2004, 5, 16)
.
- Use the
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
import networkx as nx
from datetime import datetime
# Instantiate a new graph: G_sub
G_sub = ____
# Add nodes from the original graph
____
# Add edges using a list comprehension with one conditional on the edge dates, that the date of the edge is earlier than 2004-05-16.
G_sub.____([(____, ____, ____) for u, v, d in G.edges(data=True) if d['____'] < ____(____,____,____)])