I want to get equivalent plot in Julia that i have using Python pcolormesh() function. Here x and z are two 270x100 matrices. You can download folder containing that Python script and data at VelocPythJul.tar.gz - Google Drive density = ax.pcolormesh(x, z, rho[t]*v_p[t], norm=LogNorm(), cmap=colorm…

Hi @raman_kumar , you probably want to visualize a StructuredGrid(X, Y) from Meshes.jl. Create the grid and call the viz function: using Meshes import GLMakie as Mke X = rand(100, 100) Y = rand(100, 100) grid = StructuredGrid(X, Y) viz(grid, color = 1:nelements(grid))

[image] raman_kumar: `density = ax.pcolormesh(x, z, rho[t]*v_p[t], norm=LogNorm(), cmap=colormap)`` :+1: Thanks, How to add plot of variable rho[1,:,:].*v_p[1,:,:] on that mesh? [image]

You pass the vec(rho) to the color option.

Check the vec function in Julia. It converts any array into a flat vector. That is what you need to pass.

Vec() is not working, rho[1,:,:].*v_p[1,:,:] is a Matrix{Float64} (alias for Array{Float64, 2}).

Yes, Now viz(grid, color=vec(rho[1,:,:].*v_p[1,:,:])) is giving output. How to add contours to it? [image] raman_kumar: I also have to also add contours of psi[1,:,:] and alfsurf[1,:,:] on plot. [image] [image]

Are you sure it is working? I only see a single color in the preview.

Contours are produced with other Makie recipes that we didn’t wrap yet. Please check the Makie.jl documentation for additional information.

There is something wrong. There should be some color variation in rho[1,:,:].*v_p[1,:,:] plot as i am getting in Python version of script. :face_exhaling:

Python pcolormesh() alternative in Julia

Specific Domains Visualization

raman_kumar March 25, 2024, 2:43pm 5

Please explain in detail. I also have to also add contours of psi[1,:,:] and
alfsurf[1,:,:] on plot. rho[t]*v_p[t] is also 270x100 matrix. How to put it in color?

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