在 Wolfram Mathematica 中创建的矩阵有时会保存为文本文件，但由于此类文本文件格式不适合在 Python 中使用，因此有必要将文本文件中的矩阵转换为 Python 可读的格式，即嵌套列表格式。
2、解决方案：
首先需要从文本文件中读取矩阵，然后使用 eval 函数将文本转换为可供 Python 解释的代码。接着将代码执行结果转换为嵌套列表即可。具体代码如下：
# 打开文本文件并读取内容
with open('matrix.txt', 'r') as f:
text = f.read()
# 使用 eval 将文本转换为可供 Python 解释的代码
matrix = eval('[' + text.replace('{','[').replace('}',']') + ']')
# 将代码执行结果转换为嵌套列表
matrix = [[[x] for x in row] for row in matrix]
# 打印结果
print(matrix)
输出结果：
[[[-0.00036], [1], [0], [1], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0.0003], [-1.00026], [2], [0], [1], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [0.0002], [-2], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[1e-05], [0], [0], [-1], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [1e-05], [0], [0], [-1], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[5e-05], [0], [0], [0], [0], [-0.01], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [5e-05], [0], [0], [0], [0], [-0.01], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0.01], [0], [-0.000344], [1], [0], [1], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0.01], [0.0003], [-1.000244], [2], [0], [1], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [0.0002], [-2], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [1e-05], [0], [0], [-1], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [1e-05], [0], [0], [-1], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [3.4e-05], [0], [0], [0], [0], [-0.01], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [3.4e-05], [0], [0], [0], [0], [-0.01], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0.01], [0], [-0.000328], [1], [0], [1], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0.01], [0.0003], [-1.000228], [2], [0], [1], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0.0002], [-2], [0], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [1e-05], [0], [0], [-1], [0], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [1e-05], [0], [0], [-1], [0], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [1.8e-05], [0], [0], [0], [0], [-0.01], [0], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [1.8e-05], [0], [0], [0], [0], [-0.01], [0], [0], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0.01], [0], [-0.0003], [1], [0]], [[0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0.01], [0.0003
