<｜begin▁of▁sentence｜>### Instruction:
Imagine you're on the road with a cargo of distinct tree saplings – each sapling representing a node in a network. Each sapling requires a certain number of support sticks, akin to connections or edges in the network. You've been handed a list that details how many sticks each sapling needs: [3, 2, 2, 1, 1, 1]. Now, you're tasked with figuring out a way to set up these saplings and sticks in a manner that resembles a tree structure, making sure to use the exact number of sticks specified for each sapling. You'd be using NetworkX to plan this out, arranging them so that the entire setup stands balanced like a tree, with each connection or stick serving a purpose. Can you envision this tree structure, based on the given stick needs for each sapling, while following the natural laws of tree formation where the total number of sticks is just enough to keep everything connected?
### Response:
import networkx as nx

# Given degree sequence
degree_sequence = [3, 2, 2, 1, 1, 1]

# Create a tree that satisfies the given degree sequence
T = nx.degree_sequence_tree(degree_sequence)

# Draw the tree
nx.draw(T, with_labels=True)
plt.show()
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