<｜begin▁of▁sentence｜>### Instruction:
As a Floral Botanist, you may encounter situations where you need to analyze and understand the relationships between different species of plants within a specific habitat. Imagine receiving data on the connections between different plants within a botanical garden, where each connection represents a type of symbiotic relationship between the plants. You might want to visualize this data and examine the details of each connection to gain a comprehensive understanding of the plant ecosystem. This can be done using the NetworkX Python library, which provides a way to create and study the structure, dynamics, and functions of complex networks, such as the one present in the botanical garden.
### Response:
from igraph import Graph, summary

# Create a simple graph with edge attributes
g = Graph(edges=[(0, 1), (1, 2), (2, 3)], directed=False)
g.es['weight'] = [1, 2, 3]

# Summarize the graph with edge attributes and maximize verbosity
graph_summary = summary(g, verbosity=1, print_edge_attributes=True)
print(graph_summary)
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