visualize_volume
Visualize 3D volume data.
GitHub project: https://github.com/GGN-2015/visualize_volume
Installation
pip install visualize_volume
Usage
import visualize_volume
data3d = visualize_volume.create_centered_cube_3d((64, 64, 64), 24)
visualize_volume.visualize_volume(data3d) # you can fill in your numpy data
Default Values
Argument value_rgba_color_map gives the map from data value to the color (RGBA).
def visualize_volume(data: np.ndarray,
value_rgba_color_map=[
(-5.0, 0.0, 0.0, 0.8, 0.9), # Dark blue
(-4.0, 0.5, 0.0, 0.5, 0.9), # Purple
(-3.0, 1.0, 0.0, 1.0, 0.9), # Magenta
(-2.0, 0.0, 1.0, 1.0, 0.9), # Cyan
(-1.0, 0.0, 0.8, 0.0, 0.9), # Dark green
( 0.0, 0.0, 0.0, 0.0, 0.0), # Transparent
( 1.0, 1.0, 0.0, 0.0, 0.9), # Red
( 2.0, 1.0, 0.843, 0.0, 0.9), # Gold
],
back_ground_color=(0.1, 0.2, 0.3), # Dark slate blue background
back_ground_alpha=1.0
): ...
Metadata
Release files for visualize-volume 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| visualize_volume-0.0.4.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| visualize_volume-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.6 kB
Release files / visualize_volume-0.0.4.tar.gz
| Download URL | visualize_volume-0.0.4.tar.gz |
|---|---|
| Size | 4.3 kB |
| Tags | Source |
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Release files / visualize_volume-0.0.4-py3-none-any.whl
| Download URL | visualize_volume-0.0.4-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
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