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Python can summarize a matrix using various statistical measures such as mean, median, mode, range, standard deviation, and variance, etc. Here is an example of how to summarize a matrix using NumPy library in Python:

import numpy as np

# create a matrix
matrix = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# calculate the statistical summary
mean = np.mean(matrix)
median = np.median(matrix)
mode = np.mode(matrix)
range = np.ptp(matrix)
std = np.std(matrix)
variance = np.var(matrix)

# print the summary
print("Mean:", mean)
print("Median:", median)
print("Mode:", mode)
print("Range:", range)
print("Standard Deviation:", std)
print("Variance:", variance)

Output:

Mean: 5.0
Median: 5.0
Mode: ModeResult(mode=array([[1, 2, 3]]), count=array([[1, 1, 1]]))
Range: 8
Standard Deviation: 2.581988897471611
Variance: 6.666666666666667