arrays - IndexError : index 10 is out of bounds for axis 0 with size 10

我在数值上为x-grid和x-vector以及时间网格设置了网格，但是我还是为x(位置)设置了一个数组，该数组只能在0到20之间，而t(时间)则是从因此，从0到1000直到求解热方程。但是每次我想要例如，使步骤数达到10时，都会收到错误消息:

"Traceback (most recent call last):
File "/home/universe/Desktop/Python/Heat_1.py", line 33, in <module>
x[i] = a + i*h
IndexError: index 10 is out of bounds for axis 0 with size 10"

这是我的代码:

from math import sin,pi
import numpy
import numpy as np

#Constant variables
N = int(input("Number of intervals in x (<=20):"))
M = int(input("Number of time steps (<=1000):" ))

#Some initialised varibles
a = 0.0
b = 1.0
t_min = 0.0
t_max = 0.5

# Array Variables
x = np.linspace(a,b, M)
t = np.linspace(t_min, t_max, M)


#Some scalar variables
n = []                         # the number of x-steps
i, s = [], []                  # The position and time

# Get the number of x-steps to use
for n in range(0,N):
    if n > 0 or n <= N:
         continue

# Get the number of time steps to use
for m in range(0,M):
    if m > 0 or n <= M:
         continue

# Set up x-grid  and x-vector
h =(b-a)/n
for i in range(0,N+1):
    x[i] = a + i*h

# Set up time-grid
k = (t_max - t_min)/m
for s in range(0, M+1):
    t[s] = t_min + k*s

print(x,t)

最佳答案

您尝试索引超出范围:

for s in range(0, M+1):
    t[s] = t_min + k*s

改成:

for s in range(M):
    t[s] = t_min + k*s

而且有效。

您创建的t的长度为M:

t = np.linspace(t_min, t_max, M)

因此，您只能访问M中的t元素。

Python总是从零开始索引。所以:

for s in range(M):

将执行M循环，而:

for s in range(0, M+1):

将执行M+1循环。

关于arrays - IndexError : index 10 is out of bounds for axis 0 with size 10，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/36489042/