python - 不明白为什么我收到“numpy.ndarray object not callable”错误?
问题描述
我有一个代码,它使用numpy
并hermval
与多个函数一起psi
在最后计算给定参数。但我不断收到错误numpy.ndarray object not callable
,我真的不明白为什么会这样。以下是我的代码的相关部分:
import numpy as np
import math
from numpy.linalg import eigh
from numpy.polynomial.hermite import hermval
def matrices(N, lam):
H_0 = np.zeros([N+1, N+1])
x_four_matrix = np.zeros([N+1, N+1])
for n in range(N+1):
for m in range(N+1):
if n == m:
H_0[n][m] = n + 0.5
x_four_matrix[n][m] = (6.0*n**2 + 6.0*n + 3.0)/4.0
elif n == m-2:
x_four_matrix[n][m] = np.sqrt((n+1)*(n+2))*(n+1.5)
elif n == m+2:
x_four_matrix[n][m] = (n-0.5)*np.sqrt(n*(n-1))
elif n == m-4:
x_four_matrix[n][m] = np.sqrt((n+1)*(n+2)*(n+3)*(n+4))/4.0
elif n == m+4:
x_four_matrix[n][m] = np.sqrt((n-3)*(n-2)*(n-1)*n)/4.0
return H_0, x_four_matrix
def H_lam(N, lam):
return matrices(N, lam)[0] + lam*matrices(N, lam)[1]
# Solve for eigenvalues (energies)
def lowest_eigenvals(N, n, lam):
lowest_eigs = []
eigenvals = eigh(H_lam(N, lam))[0]
eigenvals.sort()
for i in range(n):
lowest_eigs.append(eigenvals[i])
return lowest_eigs
# Solve for eigenvectors
def lowest_eigenvectors(N, n, lam):
lowest_vecs = []
for i in range(len(lowest_eigenvals(N, n, lam))):
for j in range(len(eig(H_lam(N, lam))[0])):
if lowest_eigenvals(N, n, lam)[i] == eigh(H_lam(N, lam))[0][j]:
lowest_vecs.append(eigh(H_lam(N, lam))[1][j])
return np.array(lowest_vecs)
def N_coeff(i):
return 1.0/np.sqrt(2**i*math.factorial(i)*np.sqrt(np.pi))
# for E_0 (first eigenfunction):
def psi(x, lowest_eigenvectors, i):
herm_coeffs = [element*N_coeff(i) for element in lowest_eigenvectors(N, n, lam)[i]]
return np.exp((x**2)/2.0)*hermval(x, herm_coeffs)
print [element*N_coeff(0) for element in lowest_eigenvectors(100, 4, 0.1)[0]]
print psi(1.0, lowest_eigenvectors(100, 4, 1.0), 0) # for lambda = 1
然后print
在这里我的最后一个语句,我TypeError: 'numpy.ndarray' object is not callable
从herm_coeffs
我最后一个函数的行中得到。但我不确定为什么会这样,因为倒数第二个print
语句打印正确!这里发生了什么?
这是回溯:
TypeError Traceback (most recent call last)
<ipython-input-350-04692f269a26> in <module>()
13 # print [element*N_coeff(0) for element in lowest_eigenvectors(100, 4, 0.1)[0]]
14
---> 15 print psi(1.0, lowest_eigenvectors(100, 4, 0.1), 0)
<ipython-input-350-04692f269a26> in psi(x, lowest_eigenvectors, i)
7 # for E_0 (first eigenfunction):
8 def psi(x, lowest_eigenvectors, i):
----> 9 herm_coeffs = [element*N_coeff(i) for element in lowest_eigenvectors(N, n, lam)[i]]
10 return np.exp((x**2)/2.0)*hermval(x, herm_coeffs)
11
TypeError: 'numpy.ndarray' object is not callable
解决方案
lowest_eigenvectors
函数中的参数名称与函数psi
冲突lowest_eigenvectors
。
编辑:看起来您不需要传递psi
该函数lowest_eigenvectors
,因为该psi
函数与.lowest_eigenvectors
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