<｜begin▁of▁sentence｜>### Instruction:
Alright team, think of it like we're prepping for the big game. In the sports world, we often break down game footage to focus on key plays. Similarly, in the field of graph analysis, we might want to break down a massive network to focus on specific parts that really matter.

Let's imagine we've got this huge playbook, but it's in the form of a graph. It's stored in a file called "playbook10.sparse6". Now, we want to drill down into this playbook to understand a specific sequence of playsÃ¢ÂÂsay we want to study just a handful of moves to see how they interact.

You can compare this to running a few specific drills in practice. We're trying to isolate 10 moves from the playbook so we can study them closely, improving our strategy and performance. This is the analytical version of that. 

In geek speak, we're looking to use something called the DepthFirstSearchSampler to extract a subgraph of 10 nodes from the main graph. So, the question is, how do we use this tool to sample a focused set of playsÃ¢ÂÂahem, nodesÃ¢ÂÂfrom our "playbook10.sparse6" for in-depth analysis?
### Response:
import networkx as nx
from littleballoffur import DepthFirstSearchSampler
G = nx.read_sparse6('littleballoffur10.sparse6')
sampler = DepthFirstSearchSampler(number_of_nodes=10)
sampler_G = sampler.sample(G)
print(sampler_G.edges(), sampler_G.nodes())
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