do a cfd simulation in 3d and animate it in python

To do a CFD simulation in 3D and animate it in Python, you can use various libraries such as numpy, scipy, matplotlib, and mayavi.

First, you need to perform the CFD simulation and save the results in a file format such as VTK, HDF5, or XDMF. These files can be easily read by Python libraries such as pyvista or mayavi.

Once you have loaded the results in Python, you can use mayavi to visualize and animate them in 3D. Here's a sample code snippet to get started:

main.py
import numpy as np
from mayavi import mlab
import pyvista as pv

# Load CFD simulation results from file
grid = pv.read('simulation_results.vtk')

# Extract velocity vectors from dataset
velocities = grid.point_arrays['Velocity']

# Set up animation
fig = mlab.figure()
points = mlab.quiver3d(
    grid.points[:, 0],
    grid.points[:, 1],
    grid.points[:, 2],
    velocities[:, 0],
    velocities[:, 1],
    velocities[:, 2],
    scalars=np.linalg.norm(velocities, axis=1),
    mode='arrow',
    scale_factor=0.1,
)

# Animate the visualization
@mlab.animate(delay=50)
def anim():
    while True:
        points.mlab_source.scalars = np.random.rand(velocities.shape[0])
        yield

anim()
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This code snippet loads the CFD simulation results from a VTK file, extracts the velocity vectors from the dataset, and sets up a 3D visualization using mayavi. It then animates the visualization by randomly changing the color of the arrows every 50 milliseconds.

You can customize and modify the visualization and animation by using the many features and functions provided by mayavi.