Metadata-Version: 2.4
Name: voxelmap
Version: 5.1.1
Summary: A Python library for voxel modeling from NumPy arrays
Author-email: "Andrew R. Garcia" <garcia.gtr@gmail.com>
License: MIT
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.24.1
Requires-Dist: matplotlib>=3.6.2
Provides-Extra: io
Requires-Dist: pandas>=2.1; extra == "io"
Provides-Extra: mesh
Requires-Dist: pyvista>=0.44; extra == "mesh"
Requires-Dist: scikit-image>=0.22; extra == "mesh"
Requires-Dist: opencv-python>=4.8; extra == "mesh"
Requires-Dist: scipy>=1.11; extra == "mesh"
Provides-Extra: all
Requires-Dist: pandas>=2.1; extra == "all"
Requires-Dist: pyvista>=0.44; extra == "all"
Requires-Dist: scikit-image>=0.22; extra == "all"
Requires-Dist: opencv-python>=4.8; extra == "all"
Requires-Dist: scipy>=1.11; extra == "all"
Dynamic: license-file

<!-- LOGO -->
<p align="center">
 <img src="voxelmap.png" width="160"></a>
</p>

<h1 align="center">voxelmap</h1>
<p align="center">
A lightweight Python library for building  <strong>voxel models</strong> from NumPy arrays.
</p>

[![License](http://img.shields.io/:license-mit-blue.svg?style=flat-square)](https://raw.githubusercontent.com/andrewrgarcia/voxelmap/main/LICENSE)
[![Documentation Status](https://readthedocs.org/projects/voxelmap/badge/?version=latest)](https://voxelmap.readthedocs.io/en/latest/?badge=latest)

Simple to start, modular when you need more.

<a href="https://voxelmap.vercel.app">

---

## 🚀 Installation

Minimal core (NumPy + Matplotlib only):

```bash
pip install voxelmap
```

Optional extras:

```bash
pip install voxelmap[io]     # for I/O helpers (pandas, txt/obj conversions)
pip install voxelmap[mesh]   # for meshing (scipy, scikit-image, pyvista)
pip install voxelmap[all]    # everything
```

We recommend using a virtual environment:

```bash
python -m venv venv
source venv/bin/activate
pip install voxelmap
```

Deactivate with:

```bash
deactivate
```

---

## 🧩 Quickstart

### 1. Hello World (Matplotlib, core only)

```python
import numpy as np
from voxelmap import Model

# Simple 3×3×3 cube
array = np.ones((3, 3, 3))

model = Model(array)
model.set_color(1, "red")         # assign color
model.draw_mpl(coloring="custom") # static Matplotlib 3D plot
```

➡️ Produces a **solid red cube** in a Matplotlib 3D plot.

* Rotate = left mouse drag
* Pan = right mouse drag
* Zoom = scroll wheel

*(Works with the minimal install, no extras required.)*

---

### 2. Interactive 3D (PyVista, mesh extra)

For full **trackball-style zoom, pan, and rotate**, install with:

```bash
pip install voxelmap[mesh]
```

Then:

```python
import numpy as np
from voxelmap import Model

array = np.ones((3, 3, 3))  # same cube
model = Model(array)
model.set_color(1, "red")

# Interactive PyVista window
model.draw(coloring="custom")
```

➡️ Opens an interactive window:

* Rotate freely (trackball)
* Smooth zoom with scroll/drag
* Pan and adjust camera in real time

---

### 3. Custom Palette (checkerboard)

```python
import numpy as np
from voxelmap import Model

array = np.indices((3, 3, 3)).sum(axis=0) % 2 + 1

model = Model(array)
model.palette = {1: "black", 2: "white"}
model.draw_mpl(coloring="custom")
```

➡️ Produces a **black/white checkerboard cube**.

---

### 4. Gradient Coloring

```python
import numpy as np
from voxelmap import Model
from matplotlib import cm

array = np.ones((10, 3, 3))  # tall column
model = Model(array)

model.colormap = cm.viridis
model.alphacm = 0.9
model.draw_mpl(coloring="linear")
```

➡️ Produces a **column shaded with a viridis vertical gradient**.

---

### 5. Mesh Export + Viewing Modes (OBJ+MTL)

You can export voxel arrays as **geometry + materials** with `MarchingMesh`, then reload them in `MeshView` for different visualization styles.

```python
import numpy as np
from voxelmap import Model
from voxelmap.mesh import MarchingMesh, MeshView

arr = np.zeros((5, 5, 5))
arr[1:4, 1:4, 1:4] = 1   # cube
arr[2:3, 2:3, 4] = 2     # red voxel

m = Model(arr)
m.set_color(1, "gray")   # cube body
m.set_color(2, "red")    # highlight

# Export OBJ+MTL
MarchingMesh(m.array, palette=m.palette, out_file="cube.obj")

# 1. Solid (palette only)
MeshView("cube.obj", palette=m.palette, mode="solid")

# 2. Wireframe only (green edges)
MeshView("cube.obj", mode="wireframe", wireframe_color="green")

# 3. Both solid + edges
MeshView("cube.obj", palette=m.palette, mode="both", wireframe_color="magenta")

# 4. Flat fill (single color, ignore palette)
MeshView("cube.obj", mode="flat", flat_color="orange")
```

➡️ Modes available:

* **solid**: surfaces colored from `palette`
* **wireframe**: edges only, no fills
* **both**: filled faces + edges
* **flat**: single fill color, ignores palette

You can also set:

* `background_color="black"` (hex or named color)
* `background_image="starfield.png"` (PNG/JPEG)
* `wireframe_color="cyan"`

---

## 📚 Documentation

Full usage and advanced examples can be found here:
👉 [VoxelMap Documentation](https://voxelmap.readthedocs.io/en/latest)

---

## ⚖️ License

This program is free software. It comes without any warranty, to the extent permitted by applicable law.
You can redistribute it and/or modify it under the terms of the **MIT LICENSE**.

**[MIT license](./LICENSE)** © 2022–present [Andrew Garcia](https://github.com/andrewrgarcia)

