<｜begin▁of▁sentence｜>### Instruction:
As a financial advisor, you may need to analyze the relationships between different investment opportunities within a portfolio. By using a directed graph representing these investments, we can perform a dyad census to count the number of mutual, asymmetric, and null connections between each pair of investments. This analysis will help in understanding the interplay between the investments and their potential impact on the overall portfolio performance, thereby aiding in making informed financial decisions.

Note: Link to directed_graph.gml would be needed to retrieve the necessary graph data.
### Response:
from igraph import Graph

# Load the graph from a file
g = Graph.Read_GML('directed_graph.gml')

# Perform a dyad census on the graph
dyad_census_result = g.dyad_census()

# Print out the result
print(f'Mutual: {dyad_census_result.mutual}, Asymmetric: {dyad_census_result.asymmetric}, Null: {dyad_census_result.null}')
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