<｜begin▁of▁sentence｜>### Instruction:
Given a fully connected graph with 5 vertices, how can you use the similarity_jaccard function in igraph to get the Jaccard similarity coefficients between all possible pairs and specific pairs of vertices?
### Response:
from igraph import Graph

# Given a graph 'g' with multiple vertices
g = Graph.Full(5)  # Creating a full graph as an example

# Calculate Jaccard similarity coefficient for all pairs of vertices
jaccard_similarity = g.similarity_jaccard()

# Print the Jaccard similarity matrix
for row in jaccard_similarity:
    print(row)

# Find Jaccard similarity coefficient for specific vertex pairs
vertex_pairs = [(0, 1), (1, 2)]
selected_jaccard_similarity = g.similarity_jaccard(pairs=vertex_pairs)

# Print the Jaccard similarity for specified vertex pairs
for pair, similarity in zip(vertex_pairs, selected_jaccard_similarity):
    print(f'Vertices {pair} have a Jaccard similarity of: {similarity}')
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