<｜begin▁of▁sentence｜>### Instruction:
As a paleoclimatologist, you may come across various data sets that represent the flow of historical climate events. Consider a directed graph in which the nodes symbolize climatic periods and the edges define the transition from one period to another. This graph contains transitions data as follows: a shift from period 1 to period 2, and then from period 2 to period 3, represented by the edge set [(1, 2), (2, 3)]. To study the reverse climatic transition, could you utilize NetworkX to create an inverted perspective of this graph, wherein the direction of climatic progression is reversed? This would simulate a scenario where we explore the hypothetical situation of moving backward from period 3 to period 2, and from period 2 back to period 1.
### Response:
import networkx as nx

# Create a directed graph
G = nx.DiGraph()
G.add_edge(1, 2)
G.add_edge(2, 3)

# Print original edges
print('Original edges:', G.edges())

# Get a reverse view of the graph
view = nx.reverse_view(G)

# Print the edges in the reverse view
print('Reversed edges:', view.edges())
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