From 94e8f68561bd8c5f8dcfeb40ea88258cb444ab7b Mon Sep 17 00:00:00 2001 From: guanjihuan <34735497+guanjihuan@users.noreply.github.com> Date: Fri, 25 Jun 2021 11:38:39 +0800 Subject: [PATCH] Update sympy_example.py --- language_learning/2021.06.24_sympy_example/sympy_example.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/language_learning/2021.06.24_sympy_example/sympy_example.py b/language_learning/2021.06.24_sympy_example/sympy_example.py index 988f45e..162a2ae 100644 --- a/language_learning/2021.06.24_sympy_example/sympy_example.py +++ b/language_learning/2021.06.24_sympy_example/sympy_example.py @@ -55,14 +55,14 @@ sympy.init_printing(use_unicode=True) print('符号矩阵的特征值和特征向量：') eigenvalue = matrix.eigenvals() # 使用.eigenvals()方法 print('特征值\n', eigenvalue, '\n') -sympy.pprint(eigenvalue) -print('\n', sympy.pretty(eigenvalue)) +sympy.pprint(eigenvalue) # 使用sympy.pprint()输出 +print('\n', sympy.pretty(eigenvalue)) # 使用sympy.pretty()美化后输出 print() eigenvector = matrix.eigenvects() # 使用.eigenvects()方法 print('特征向量\n', eigenvector, '\n') sympy.pprint(eigenvector) -print('\n', sympy.pretty(eigenvector)) +print('\n', sympy.pretty(eigenvector)) print() P, D = matrix.diagonalize() # 使用.diagonalize()方法