pyvista-gridder 0.5.3
Mesh generation using PyVista
Requires Python: >=3.9
Keywords: mesh generation, numerical modeling, pyvista

<p align="center">
   <img src="https://github.com/INTERA-Inc/pyvista-gridder/blob/main/.github/logo/logo.png?raw=true" width=25%>
   <h1 align="center"><b>PyVista Gridder</b></h1>
</p>

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Structured and unstructured mesh generation using PyVista for the Finite-Element (FEM), Finite-Difference (FDM), and Finite-Volume Methods (FVM).

## Features

- **Pre-Meshed Geometric Objects**: Easily create basic geometric objects with pre-defined meshes, using structured grids whenever possible.
- **Line/Polyline Extrusion**: Extrude lines or polylines into 2D structured grids.
- **Surface Extrusion**: Extrude surface meshes into volumetric meshes while preserving their original type.
- **1.5D/2.5D Mesh Creation**: Generate meshes by stacking polylines or surfaces, ideal for geological modeling and similar applications.
- **2D Voronoi Mesh Generation**: Create 2D Voronoi meshes from a background mesh, with support for adding constraint points to define custom shapes.
- **Mesh Merging**: Combine multiple PyVista meshes into a single mesh and assign cell groups, leaving conformity checks to the user.
- **Additional Utility Functions**: Includes tools to manipulate structured and unstructured grids.

## Installation

The recommended way to install **pyvista-gridder** and all its dependencies is through the Python Package Index:

```bash
pip install pyvista-gridder --user
```

Otherwise, clone and extract the package, then run from the package location:

```bash
pip install .[full] --user
```

To test the integrity of the installed package, check out this repository and run:

```bash
pytest
```

## Examples

### 2D structured grid

```python
import numpy as np
import pyvista as pv
import pvgridder as pvg

mesh = (
   pvg.MeshStack2D(pv.Line([-3.14, 0.0, 0.0], [3.14, 0.0, 0.0], resolution=41))
   .add(0.0)
   .add(lambda x, y, z: np.cos(x) + 1.0, 4, group="Layer 1")
   .add(0.5, 2, group="Layer 2")
   .add(0.5, 2, group="Layer 3")
   .add(0.5, 2, group="Layer 4")
   .add(lambda x, y, z: np.full_like(x, 3.4), 4, group="Layer 5")
   .generate_mesh()
)
mesh.plot(show_edges=True, scalars=pvg.get_cell_group(mesh))
```

![anticline](https://github.com/INTERA-Inc/pyvista-gridder/blob/main/.github/anticline.png?raw=true)

### 2D Voronoi mesh

```python
import numpy as np
import pyvista as pv
import pvgridder as pvg

smile_radius = 0.64
smile_points = [
   (smile_radius * np.cos(theta), smile_radius * np.sin(theta), 0.0)
   for theta in np.deg2rad(np.linspace(200.0, 340.0, 32))
]
mesh = (
   pvg.VoronoiMesh2D(pvg.Annulus(0.0, 1.0, 16, 32), default_group="Face")
   .add_circle(0.16, plain=False, resolution=16, center=(-0.32, 0.32, 0.0), group="Eye")
   .add_circle(0.16, plain=True, resolution=16, center=(0.32, 0.32, 0.0), group="Eye")
   .add_polyline(smile_points, width=0.05, group="Mouth")
   .generate_mesh()
)
mesh.plot(show_edges=True, scalars=pvg.get_cell_group(mesh))
```

![nightmare-fuel](https://github.com/INTERA-Inc/pyvista-gridder/blob/main/.github/nightmare_fuel.png?raw=true)

### 2.5D geological model

```python
import pyvista as pv
import pvgridder as pvg

terrain = pv.examples.download_crater_topo().extract_subset(
   (500, 900, 400, 800, 0, 0), (10, 10, 1)
)
terrain_delaunay = pvg.Polygon(terrain, celltype="triangle")
terrain = terrain.cast_to_structured_grid().warp_by_scalar("scalar1of1")

mesh = (
   pvg.MeshStack3D(
      pvg.VoronoiMesh2D(terrain_delaunay, preference="point").generate_mesh()
   )
   .add(0.0)
   .add(terrain.translate((0.0, 0.0, -1000.0)), 5, method="log_r", group="Bottom layer")
   .add(500.0, 5, group="Middle layer")
   .add(terrain, 5, method="log", group="Top Layer")
   .generate_mesh()
)
mesh.plot(show_edges=True, scalars=pvg.get_cell_group(mesh))
```

![topographic-terrain](https://github.com/INTERA-Inc/pyvista-gridder/blob/main/.github/topographic_terrain.png?raw=true)

## Acknowledgements

This project is supported by Nagra (National Cooperative for the Disposal of Radioactive Waste), Switzerland.