Update sympy_example.py
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@ -55,14 +55,14 @@ sympy.init_printing(use_unicode=True)
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print('符号矩阵的特征值和特征向量:')
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eigenvalue = matrix.eigenvals() # 使用.eigenvals()方法
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print('特征值\n', eigenvalue, '\n')
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sympy.pprint(eigenvalue)
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print('\n', sympy.pretty(eigenvalue))
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sympy.pprint(eigenvalue) # 使用sympy.pprint()输出
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print('\n', sympy.pretty(eigenvalue)) # 使用sympy.pretty()美化后输出
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print()
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eigenvector = matrix.eigenvects() # 使用.eigenvects()方法
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print('特征向量\n', eigenvector, '\n')
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sympy.pprint(eigenvector)
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print('\n', sympy.pretty(eigenvector))
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print('\n', sympy.pretty(eigenvector))
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print()
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P, D = matrix.diagonalize() # 使用.diagonalize()方法
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