如何从给定的文件中读取矩阵？

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import numpy as np

def read_csv_matrix(file_path):
    with open(file_path, 'r') as file:
        lines = file.readlines()
        matrix = [list(map(float, line.strip().split(','))) for line in lines]
    return np.array(matrix)

matrix = read_csv_matrix('matrix.csv')
print(matrix)

import scipy.io

def read_mat_matrix(file_path):
    mat = scipy.io.loadmat(file_dict)
    matrix = mat['matrix_name']  # 替换 'matrix_name' 为实际的矩阵名称
    return matrix

matrix = read_mat_matrix('matrix.mat')
print(matrix)

from PIL import Image
import numpy as np

def read_image_matrix(file_path):
    img = Image.open(file_path)
    matrix = np.array(img)
    return matrix

matrix = read_image_matrix('image.png')
print(matrix)

import sqlite3
import numpy as np

def read_db_matrix(db_path, table_name):
    conn = sqlite3.connect(db_path)
    cursor = conn.cursor()
    cursor.execute(f"SELECT * FROM {table_name}")
    rows = cursor.fetchall()
    matrix = np.array(rows)
    return matrix

matrix = read_db_matrix('database.db', 'matrix_table')
print(matrix)