IndexError:索引3超出了尺寸为3的轴1的范围 [英] IndexError: index 3 is out of bounds for axis 1 with size 3

问题描述

我想解决该错误:

IndexError:索引3超出了尺寸1为3的轴1的边界

IndexError: index 3 is out of bounds for axis 1 with size 3

from numpy import *
from pylab import *

def SIR2(I0, beta, gama, w, sigma, p, dt, tmax):
    N = int(tmax / dt) + 1  # nombre de pas de temps
    T = zeros([N + 1, 3])
    T[0, 0] = 1000000 - I0
    T[0, 1] = I0

    for i in range(N + 1):
        T[i + 1, 0] = T[i, 0] - dt * (beta * T[i, 0] * T[i, 1] + p * T[i, 0] - w * T[i, 2])
        T[i + 1, 1] = T[i, 1] + dt * T[i, 1] * (beta * T[i, 0] - gama - sigma)
        T[i + 1, 2] = T[i, 2] + dt * (gama * T[i, 1] + p * T[i, 0] + w * T[i, 2])
        T[i + 1, 3] = sigma * T[i, 1] * dt + T[i, 3]

    return T

beta = 1 / 3000000
gama = 1 / 20

I0 = 10
p = 0
sigma = 5 / 1000
w = 0
dt = 0.05
tmax = 150
T = SIR2(I0, beta, gama, w, sigma, p, dt, tmax)

N = int(tmax / dt) + 1
X = zeros(N + 1)

for i in range(N + 1):
    X[i] = i * dt

plot(X, T[:, 0])
plot(X, T[:, 1])
plot(X, T[:, 2])
plot(X, T[:, 3])

show()

推荐答案

numpy中的数组的索引从0开始.因此，第二个轴为3的数组将可订阅，最大索引为2.

Indices of arrays in numpy start from 0. So an array with a second axis of 3, will be subscriptable up to a maximum index of 2.

因此，以下内容不适用于T[:,3]:

So the following will not work for T[:,3]:

T=zeros([N+1,3])

如果打算在0、1、2和3上建立索引，则应考虑增加数组的大小，例如:

If you intend to index on 0,1,2 and 3, then you should consider increasing the size of your array, say:

T=zeros([N+1,4])
#            ^ subscriptable up to 3

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