IndexError:索引10超出了轴0的大小为10的范围

时间:2016-04-07 23:35:50

标签: arrays python-2.7 python-3.x numpy differential-equations

我在数字上为x-grid和x-vector以及时间网格设置网格,但我又为x(位置)设置了一个数组,该数组应该只在0到20之间,因此,t(时间)将从0到1000,以便求解热方程。但是每次我想要的时候,我都会做出步骤10,我收到一个错误:

"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)

1 个答案:

答案 0 :(得分:1)

您尝试在范围之外进行索引:

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

更改为:

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

它有效。

您创建的t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始终以零开始索引。因此:

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。