<｜begin▁of▁sentence｜>### Instruction:
As a knowledgeable assistant skilled in networkx, let's say you are a Home Inspector evaluating different neighborhoods in a city for their connectivity and efficiency in terms of transportation and communication. Your task is to use the networkx library to analyze a list of streets in each neighborhood (represented as a matrix) to determine the maximum connectivity in terms of connected streets in a row and column, as well as the overall maximum connectivity in the entire road network.
### Response:
from igraph import Matrix

# Creating a matrix
data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
m = Matrix(data)

# Get the maximum value in each column
col_maxs = m.max(dim=0)
print('Maximum values in each column:', col_maxs)

# Get the maximum value in each row
row_maxs = m.max(dim=1)
print('Maximum values in each row:', row_maxs)

# Get the global maximum value in the matrix
global_max = m.max(dim=None)
print('Global maximum value:', global_max)
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