Name | pyvista-imgui JSON |
Version |
0.3.0
JSON |
| download |
home_page | |
Summary | Pyvista imgui integration |
upload_time | 2023-06-29 11:52:32 |
maintainer | |
docs_url | None |
author | |
requires_python | >=3.8 |
license | MIT |
keywords |
vtk
imgui
plotting
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
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# Pyvista-Imgui
[![PyPi license](https://badgen.net/pypi/license/pyvista-imgui/)](https://pypi.org/project/pyvista-imgui/) [![PyPi version](https://badgen.net/pypi/v/pyvista-imgui/)](https://pypi.org/project/pyvista-imgui/)
`pyvista-imgui` is a small helper module for the [`pyvista`](https://github.com/pyvista/pyvista)-package to integrate it with the [imgui](https://github.com/ocornut/imgui)-library.
It integrates a fully interactive `pyvista`-Plotter as an imgui-widget, by utilizing VTK's `vtkGenericOpenGLRenderWindow` to first render the output into an OpenGL texture and displaying it as a regular imgui-image widget.
It currently utilizes either the bindings provided by [`imgui-bundle`](https://github.com/ocornut/imgui), or by [`pyimgui`](https://github.com/pyimgui/pyimgui/tree/master).
This package is considered experimental at this moment, so expect issues.
## Installation5
To install this package using `pip` use:
```bash
pip install pyvista-imgui[imgui-bundle]
```
for the `imgui-bundle` bindings or:
```bash
pip install pyvista-imgui[imgui]
```
for the `pyimgui` bindings.
Alternatively the installation from source is also possible with:
```bash
git clone https://github.com/mortacious/pyvista-imgui
cd pyvista-imgui
pip install [-e] .[imgui-bundle / imgui]
```
## Usage
The package includes the class `ImguiPlotter`, which can be used as a drop-in alternative to the regular `pyvista`-plotters:
```py
import pyvista as pv
from pyvista_imgui import ImguiPlotter
sphere = pv.Sphere()
plotter = ImguiPlotter()
plotter.add_axes()
plotter.add_mesh(sphere)
plotter.show()
```
Alternatively, an instance of `ImguiPlotter` can be integrated into an existing imgui-UI as a widget:
```py
imgui.begin("Imgui Plotter")
# render the plotter's contents here
plotter.render()
imgui.end()
```
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