【发布时间】:2015-05-26 15:58:15
【问题描述】:
我正在用从高斯分布中提取的值填充两个数组field_in_k_space_REAL 和field_in_k_space_IMAGINARY,当我对数组进行逆变换时,注意尊重对称性以获得真实的场。代码如下:
field_in_k_space_REAL = zeros(n, float)
field_in_k_space_IMAGINARY = zeros(n, float)
field_in_k_space_REAL[0] = 0.0
for i in range(1, int(n/2+1)):
field_in_k_space_REAL[i] = np.random.normal(mu, math.sqrt((1/2)*math.exp(-(2*math.pi*i*sigma/L)*(2*math.pi*i*sigma/L))))
x = range(int(n/2+1), int(n))
y = range(1, int(n/2))
zipped = zip(x, y)
for j, j2 in zipped:
field_in_k_space_REAL[j] = field_in_k_space_REAL[j-2*j2]
field_in_k_space_IMAGINARY[0] = 0.0
for i in range(1, int(n/2)):
field_in_k_space_IMAGINARY[i] = np.random.normal(mu, math.sqrt((1/2)*math.exp(-(2*math.pi*i*sigma/L)*(2*math.pi*i*sigma/L))))
field_in_k_space_IMAGINARY[n/2] = 0.0
for j, j2 in zipped:
field_in_k_space_IMAGINARY[j] = - field_in_k_space_IMAGINARY[j-2*j2]
print 'field_k', field_in_k_space_REAL
但我一直有以下错误:
field_in_k_space_REAL[0] = 0.0
IndexError: index 0 is out of bounds for axis 0 with size 0
有人可以解释为什么以及如何解决它吗?
【问题讨论】:
-
n的值是多少? -
@Cyber n = 32,但我可以更改它
-
值为
n = 32我无法重现您显示的错误。