问题

以下是翻译好的部分：

"The following code generates this image "

以下代码生成了这张图片

"I want the "y"-axis label to be "Space" and the "x"-axis label to be "time" for the left subplot. However, I am failing to achieve this. Why does my plotting code not do as I desire?"

我想要左子图的“y”轴标签为“Space”，“x”轴标签为“time”。然而，我未能实现这一目标。为什么我的绘图代码没有按照我的要求执行？

p2 = contourf(sol.t,x,z, xlabel="Time", ylabel="Space")
plt = plot(p1,p2,layout=(1,2), size=(1200,800))

p2 = contourf(sol.t, x, z, xlabel="Time", ylabel="Space")
plt = plot(p1, p2, layout=(1, 2), size=(1200, 800))

plotlyjs()

N₁=31 # Number of waveguides / size of solution vector
γ=1  # Nonlinear term strength parameter
h=1 # Grid spacing 

centerGrid  = (N₁-1)/2;
x = -centerGrid:centerGrid;

# Coefficient matrix of second-order centered-difference operator (δ²u)ₙ
M           = spdiagm(-1 => fill(1, N₁-1), 0 => fill(-2, N₁), 1 => fill(1, N₁-1))
M[N₁, 1]     = 1; # Periodic boundary conditions
M[1, N₁]     = 1;

# RHS of DNLS. The solution vector u is a N₁x1 complex vector
g₁(u, p, t)   = 1 * im * (p[1] * M * u + @.(γ * ((abs(u))^2) .* u) )

# Julia is explicitly typed (e.g., cannot have Int and Complex in the same array) and so we must convert the object containing the initial data to be complex
u0  = Complex.(sech.(x))

tspan = (0.0, 200)
prob = ODEProblem(g₁, u0, tspan, [h])
sol = solve(prob, Tsit5(), reltol=1e-8, abstol=1e-8)

z= [abs(sol.u[i][j])^2  for j=1:N₁, i=1:size(sol)[2]] # |u|²;

p1 = surface(sol.t, x, z, xlabel="Time", ylabel="Space", zlabel="|u|²", colorbar=false)
p2 = contourf(sol.t, x, z, xlabel="Time", ylabel="Space")
plt = plot(p1, p2, layout=(1, 2), size=(1200, 800))

p1 = surface(sol.t, x, z, xlabel="Time", ylabel="Space", zlabel="|u|²", colorbar = false)
p2 = contourf(sol.t,x,z, xlabel="Time", ylabel="Space")
plt = plot(p1,p2,layout=(1,2), size=(1200,800))

using DifferentialEquations, LinearAlgebra, Plots, SparseArrays
plotlyjs()

N₁=31 # Number of waveguides / size of solution vector
γ=1  # Nonlinear term strength parameter
h=1 # Grid spacing 

centerGrid  = (N₁-1)/2;
x = -centerGrid:centerGrid;

# Coefficient matrix of second-order centered-difference operator (δ²u)ₙ
M           = spdiagm(-1 => fill(1,N₁-1), 0 => fill(-2,N₁), 1 => fill(1,N₁-1))
M[N₁,1]     = 1; # Periodic boundary conditions
M[1,N₁]     = 1;

# RHS of DNLS. The solution vector u is a N₁x1 complex vector
g₁(u,p,t)   = 1*im*(p[1]*M*u + @.(γ*((abs(u))^2).*u) )

# Julia is explicitly typed (e.g, cannot have Int and Complex in same array) and so we must convert the object containing the initial data to be complex
u0  = Complex.(sech.(x))

tspan = (0.0,200)
prob = ODEProblem(g₁,u0,tspan, [h])
sol = solve(prob, Tsit5(), reltol=1e-8, abstol=1e-8)

z= [abs(sol.u[i][j])^2  for j=1:N₁, i=1:size(sol)[2]] # |u|²

p1 = surface(sol.t, x, z, xlabel="Time", ylabel="Space", zlabel="|u|²", colorbar = false)
p2 = contourf(sol.t,x,z, xlabel="Time", ylabel="Space")
plt = plot(p1,p2,layout=(1,2), size=(1200,800))

答案1

得分: 0

自定义3D图的轴标签在Plots和plotlyjs()后端上不起作用，只有在GR后端上才会显示您的标签。

您可以尝试使用PLotlyJS.jl而不是Plots.jl的这个版本：

fig = make_subplots(rows=1, cols=2, specs=[Spec(kind="scene"), Spec(kind="xy")],
                  horizontal_spacing=-0.1, column_widths=[0.65, 0.35])
add_trace!(fig, PlotlyJS.surface(x=sol.t, y=collect(x), z=z', showscale=false), row=1, col=1)
add_trace!(fig, PlotlyJS.contour(x=sol.t, y=collect(x), z=z), row=1, col=2)
relayout!(fig, template=templates["plotly_white"], font_size=11,
                width=1000, height=600, scene=attr(xaxis_title="时间", yaxis_title="空间",
                zaxis_title="|u|²", camera_eye=attr(x=1.8, y=1.8, z=1)),
                xaxis2_title="时间", yaxis2_title="空间", margin_l=15)
display(fig)

<details>
<summary>英文:</summary>

Setting custom axis labels for 3d plots doesn&#39;t work with Plots and plotlyjs() backend. Only with GR backend your labels are displayed.

You can try this version using PLotlyJS.jl instead Plots.jl:

fig=make_subplots(rows=1, cols=2, specs =[Spec(kind="scene") Spec(kind="xy")],
horizontal_spacing=-0.1, column_widths=[0.65, 0.35])
add_trace!(fig, PlotlyJS.surface(x=sol.t, y=collect(x), z=z', showscale=false), row=1, col=1)
add_trace!(fig, PlotlyJS.contour(x=sol.t, y=collect(x), z=z), row=1, col=2)
relayout!(fig, template=templates["plotly_white"], font_size=11,
width=1000, height=600, scene=attr(xaxis_title="Time", yaxis_title="Space",
zaxis_title="|u|²", camera_eye=attr(x=1.8, y=1.8, z=1)),
xaxis2_title="Time", yaxis2_title="Space", margin_l=15)
display(fig)

[![enter image description here][1]][1]


  [1]: https://i.stack.imgur.com/UTjNF.png

</details>