# vAPE - Interactive 4D volume visualization
[](https://pypi.org/project/vape4d/)
[
](https://keksboter.github.io/vape4d/docs/)
[👉 Click to run the web app 👈](https://keksboter.github.io/vape4d/?file=https://huggingface.co/datasets/vollautomat/vape4d/resolve/main/gray_scott_3d.npy&colormap=https://huggingface.co/datasets/vollautomat/vape4d/resolve/main/colormap.json)
[Burgers](https://en.wikipedia.org/wiki/Burgers%27_equation) | [Kuramoto–Sivashinsky](https://en.wikipedia.org/wiki/Kuramoto%E2%80%93Sivashinsky_equation) | [Gray-Scott](https://groups.csail.mit.edu/mac/projects/amorphous/GrayScott/)
:-------------------------:|:------------------------:|:-------------------------:
 |||
-----
## Installation
with pip
```
pip install vape4d
```
## Usage
**Viewer** (jupyter notebook)
```python
from vape4d import viewer
import numpy as np
from matplotlib import pyplot as plt
viewer(
#[T,C,D,W,H]
np.random.rand(1,1,32,32,32),
plt.get_cmap("viridis"),
)
```
**Render Image**
```python
import numpy as np
from vape4d import diverging_alpha, render
import matplotlib.pyplot as plt
colormap = diverging_alpha(plt.get_cmap("magma"))
img = render(
# [T,D,H,W]
np.random.rand(2,32,32,32).astype(np.float32),
colormap,
0.5, # timestep
width=1024,
height=1024,
)
plt.imshow(img)
plt.axis("off")
plt.savefig("test.png", bbox_inches="tight", pad_inches=0)
plt.show()
```
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