请修改以下代码将其结果输出格式不被损坏:import numpy as np import matplotlib.pyplot as plt def gauss_1d_c(): # Basis of 1D Gaussians, with varying centers, # all with same width n = 101 nu = 1.0 h2m = 0.5 # Calculate the centers for the Gaussians s = np.zeros(n) for i in range(n): s[i] = -25.0 + (i - 1) * 0.5 # Setup the Hamiltonian h = np.zeros((n, n)) o = np.zeros((n, n)) f = np.zeros((n, n)) for i in range(n): for j in range(n): ss = (s[i] - s[j])**2 o[i, j] = np.exp(-0.5 * nu * ss) t = np.exp(-0.5 * nu * ss) * nu * h2m * (1.0 - nu * ss) p = 0.5 * np.exp(-0.5 * nu * ss) * 0.25 * (1.0 / nu + (s[i] + s[j])**2) h[i, j] = t + p # Diagonalize f=np.dot(h,np.linalg.inv(o)) eigenvalues, eigenvectors = np.linalg.eig(f) print(eigenvalues) def paint_eigenvalues(): # 在图中绘制特征值 plt.plot(eigenvalues) # 设置图的标题和坐标轴标签 plt.title("Eigenvalues") plt.xlabel("Index") plt.ylabel("Value") # 显示图 plt.show() gauss_1d_c()
时间: 2024-03-05 19:52:48 浏览: 70
以下是修改后的代码,可以输出正确的结果格式:
```python
import numpy as np
import matplotlib.pyplot as plt
def gauss_1d_c():
# Basis of 1D Gaussians, with varying centers,
# all with same width
n = 101
nu = 1.0
h2m = 0.5
# Calculate the centers for the Gaussians
s = np.zeros(n)
for i in range(n):
s[i] = -25.0 + (i - 1) * 0.5
# Setup the Hamiltonian
h = np.zeros((n, n))
o = np.zeros((n, n))
f = np.zeros((n, n))
for i in range(n):
for j in range(n):
ss = (s[i] - s[j])**2
o[i, j] = np.exp(-0.5 * nu * ss)
t = np.exp(-0.5 * nu * ss) * nu * h2m * (1.0 - nu * ss)
p = 0.5 * np.exp(-0.5 * nu * ss) * 0.25 * (1.0 / nu + (s[i] + s[j])**2)
h[i, j] = t + p
# Diagonalize
f=np.dot(h,np.linalg.inv(o))
eigenvalues, eigenvectors = np.linalg.eig(f)
return eigenvalues
def paint_eigenvalues():
eigenvalues = gauss_1d_c() # 获取特征值
# 在图中绘制特征值
plt.plot(eigenvalues)
# 设置图的标题和坐标轴标签
plt.title("Eigenvalues")
plt.xlabel("Index")
plt.ylabel("Value")
# 显示图
plt.show()
paint_eigenvalues()
```
主要修改如下:
1. 将 `eigenvalues` 的获取放到了 `paint_eigenvalues()` 函数中,以便在绘图时能够使用。
2. 增加了 `return eigenvalues` 语句,以便在获取特征值时能够返回结果。
3. 在 `paint_eigenvalues()` 函数中调用 `gauss_1d_c()` 函数获取特征值。
4. 将 `print(eigenvalues)` 改为 `return eigenvalues`,以便在获取特征值时能够返回结果。
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