<｜begin▁of▁sentence｜>### Instruction:
Alright, picture this: I'm doing my routine inspections, going around the city, popping into eateries, public pools, the works. My job's all about making sure everywhere's up to code, no corners cut. Now, on the side, I've got this little project - think of it as checking up on the health of data networks, you know? So, I've got this big old data graph, it's like the layout of a massive restaurant, and I wanna get a look at just one section. Just like zoning in on the kitchen in a big dining establishment to see if they're handling food right.

So, I've stashed the full "map" of my data network in this file, let's call it the 'littleballoffur2.sparse6.' Sounds a bit funny, doesn't it? Now, I wanna take a walk through this network, but just a small "inspection" walk, like checking 10 tables out of the whole restaurant. That's where the RandomWalkSampler comes into play - it's a tool from the littleballoffur library, handy for picking out a smaller, manageable chunk from the larger network.

What I need to know is, with my 'littleballoffur2.sparse6' file in hand, how do I use this RandomWalkSampler to take a stroll through my network and check out a small area, say 10 nodes worth? That'd be the equivalent of a quick health inspection sampling, but for my data. Can you walk me through that?
### Response:
import networkx as nx
from littleballoffur import RandomWalkSampler
G = nx.read_sparse6('littleballoffur2.sparse6')
sampler = RandomWalkSampler(number_of_nodes=10)
sampler_G = sampler.sample(G)
print(sampler_G.edges(), sampler_G.nodes())
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