Python Opengl

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A variety of plotting capabilities. (taken from examples/Plotting.py)
Image analysis with automated data slicing.

PyOpenGL 3.x The Python OpenGL Binding About PyOpenGL. PyOpenGL is the most common cross platform Python binding to OpenGL and related APIs. The binding is created using the standard ctypes library, and is provided under an extremely liberal BSD-style Open-Source license. PyOgre (just python bindings fo Ogre) and Panda3D are complete 3D-engines (that offer a lot of features), while raw OpenGL is very low-level. – sloth Aug 25 '12 at 12:52 IMHO: Try some opengl tutorials to get an idea what's opengl is all about, maybe create a little game; then try. Download and run the executable (nvidiaopenglrdp.exe) from the DesignWorks website as Administrator on the remote Windows PC where your OpenGL application will run. A dialog will confirm that OpenGL acceleration is enabled for Remote Desktop and if a reboot is required. This is a font library implementation for Python/OpenGL, it is designed to plug-in to the Viper game engine but it also runs indepently. Bouncy the Hungry Rabbit You play Bouncy the Hungry Rabbit. You're in a garden with yummy veggies and a farmer who's not keen on you eating them. You can hide (and move around) under the ground.


3D graphics: volumetric rendering, surface plots, scatter plots, and isosurfaces.


A variety of ROI types. Each ROI selects data from the underlying image and redisplays it below. (taken from examples/test_ROItypes.py)


Programmable flowcharts for fast prototyping.
For an example of pyqtgraph in use (and more screenshots), see ACQ4

Scientific Graphics and GUI Library for Python
Documentation and API Reference - Github Repository - Support mailing list
Python
install from pypi:
or via conda:
or from the source on github:
recent changes - older releases

PyQtGraph is a pure-python graphics and GUI library built on PyQt / PySide and numpy. It is intended for use in mathematics / scientific / engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of numpy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license.

Main Features:

  • Basic 2D plotting in interactive view boxes
    • Line and scatter plots
    • Data can be panned/scaled by mouse
    • Fast drawing for realtime data display and interaction
  • Image display with interactive lookup tables and level control
    • Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance)
    • Functions for slicing multidimensional images at arbitrary angles (great for MRI data)
    • Rapid update for video display or realtime interaction
  • 3D graphics system (requires Python-OpenGL bindings)
    • Volumetric data rendering
    • 3D surface and scatter plots
    • Mesh rendering with isosurface generation
    • Interactive viewports rotate/zoom with mouse
    • Basic 3D scenegraph for easier programming
  • Data selection/marking and region-of-interest controls
    • Interactively mark vertical/horizontal locations and regions in plots
    • Widgets for selecting arbitrary regions from images and automatically slicing data to match
  • Easy to generate new graphics
    • 2D graphics use Qt's GraphicsView framework which is highly capable and mature.
    • 3D graphics use OpenGL
    • All graphics use a scenegraph for managing items; new graphics items are simple to create.
  • Library of widgets and modules useful for science/engineering applications
    • Flowchart widget for interactive prototyping.
      Interface similar to LabView (nodes connected by wires).
    • Parameter tree widget for displaying/editing hierarchies of parameters
      (similar to those used by most GUI design applications).
    • Interactive python console with exception catching.
      Great for debugging/introspection as well as advanced user interaction.
    • Multi-process control allowing remote plotting, Qt signal connection across processes, and very simple in-line parallelization.
    • Dock system allowing the user to rearrange GUI components.
      Similar to Qt's dock system but a little more flexible and programmable.
    • Color gradient editor
    • SpinBox with SI-unit display and logarithmic stepping

Installation:

PyQtGraph does not really require any installation scripts. All that is needed is for the pyqtgraph folder to be placed someplace importable. Most people will prefer to simply place this folder within a larger project folder. If you want to make pyqtgraph available system-wide, use one of the methods listed below:
  • Debian, Ubuntu, and similar Linux:
    Download the .deb file linked at the top of the page.
  • Other Linux:
    Many people have generated packages for non-debian Linux distributions, including Arch, Suse, and Gentoo. Check your distribution repository for pyqtgraph packages.
  • Windows:
    Download and run the .exe installer file linked at the top of the page.
  • Everybody (including OSX):
    Download the .tar.gz source package linked at the top of the page, extract its contents, and run 'python setup.py install' from within the extracted directory (pyqtgraph is a pure-python library, so no compiling occurs during this installation). Or, install from pypi using 'pip install pyqtgraph'.

Requirements:

PyQtGraph is known to run on Linux, Windows, and OSX.

Python Opengl Egl

Pyopengl It should, however, run on any platform which supports the following packages:
  • Python 3+
  • PyQt 5+ or PySide
  • NumPy
  • python-opengl bindings are required for 3D graphics

Documentation:

Documentation is hosted here.
If you would like to request a specific section of documentation, please ask on the forum. There are also many examples to look through; for a menu of examples run:

Packaging for Distribution:

Applications written with pyqtgraph may be packaged as Windows exe files using py2exe or OSX dmg files using py2app.

Questions, feedback, and bug reports:

  • Post questions, feedback, and bug reports to the pyqtgraph forum.
  • Or: post questions to Stack Overflow with the tag 'pyqtgraph' (if it's not tagged correctly, I'll probably never see it).

Comparison to other python graphics packages:

  • Matplotlib is more or less the de-facto standard plotting library for python. If you are starting a new project and do not need any of the features specifically provided by pyqtgraph, you should start with matplotlib. It is much more mature, has an enormous user community, and produces very nice publication-quality graphics.

    Reasons you might want to use pyqtgraph instead:

    1. Speed. If you are doing anything requiring rapid plot updates, video, or realtime interactivity, matplotlib is not the best choice. This is (in my opinion) matplotlib's greatest weakness.
    2. Portability / ease of installation. PyQtGraph is a pure-python package, which means that it runs on virtually every platform supported by numpy and PyQt, no compiling required. If you require portability in your application, this can make your life a lot easier.
    3. Many other features--pyqtgraph is much more than a plotting library; it strives to cover many aspects of science/engineering application development with more advanced features like its ImageView and ScatterPlotWidget analysis tools, ROI-based data slicing, parameter trees, flowcharts, multiprocessing, and more.

  • VisPy is a new 2D/3D visualization library based on OpenGL that is developed as a collaboration between the authors of PyQtGraph, VisVis, Galry, and Glumpy. It is presently in early development and has a narrower scope than PyQtGraph--it will focus on visualization without the GUI toolkit features provided by PyQtGraph. In the long term, we hope VisPy will be able to replace Qt as the rendering engine for 2D graphics, and replace the pyqtgraph.opengl 3D system entirely. More about VisPy here.
  • PyQwt has a very nice set of features and is fast enough for realtime work. Its main drawback is that it is currently unmaintained and can be difficult to get working on a variety of platforms. Hopefully in the future it may find a new maintainer, but until then it may be best to avoid PyQwt (the original PyQwt maintainer is currently recommending to use pyqtgraph instead; check their mailing lists for updates). Like matplotlib, PyQwt lacks some of the more advanced features of pyqtgraph.
  • Chaco is a very interesting project--nice graphics, good speed, and actively developed. Like PyQwt, however, Chaco can be challenging to install on a wide variety of platforms and lacks some of pyqtgraph's more advanced features (although pyqtgraph certainly lacks many of Chaco's features as well).
  • GuiQwt is an interesting project with many advanced features similar to pyqtgraph. It is presently based on PyQwt and thus comes with some of its drawbacks, although there appear to be plans to change this in the future.
[Please note: I have not used these libraries for some time; please let me know if this information is outdated.]

Python Opengl Pdf

is about using the OpenGL Shader LanguageGLSL with the free and open Python Library Pyglet.

(Hier ist die deutschsprachige Version)

I finally decided to put my GLSL experiments online - as an inspiration to otherprogrammers. Hopefully this will be evolving into an “intermediate level tutorial”for Shader Programming in GLSL.

This is all free and open source - use it at your own risk and have fun with it !

I use the free software tools I found best for me to make graphicsapplications.I found Pyglet when I was looking for

Pyopengl tutorial
  • OpenGL Programming with GLSL
  • Cross Plattform OpenGL Support (Windows, Linux, perhaps others)
  • Easy Installation (preferably USB-Stick portable)

Opengl Python Tutorial

Let us begin:

  • Screenshots to whet your appetite and some philosophy
  • Installation fast and furious for Linux and Windows
  • Example 1 Start with making the OpenGL Pyglet Example Program “graphics.py” interactive (no GLSL here)
  • Example 2 adding Tristam Macdonald's Library Shader.py and do Ambient, Diffuse and Phong Lighting in GLSL
  • Example 3 adding a nice texturemap, introducing pyglet resources
  • Example 5 Parallax Mapping with GLSL
  • SOON !Example 6 Vertex Offset Shader for Deformable Objects
  • Example 7 Anisotropic Specular Highlights for Hair with GLSL (hair, brushed metal, silk)
  • Example 8 Environmental Bump Mapping with GLSL Cube Mapping
  • Example 9 Adding the Library VideoCapture.py by Markus Gritsch to map Video from the USB Camera to an object (Windows only at the moment, but working on a Linux port)
  • The Grab Bag: useful stuff and tools - Bumpmap Converter, Realtime Shadows
  • Frequently Asked Questions: even with answers, growing

If you find Bugs, Improvements or just want to say hello: write to pythonian_at_gmx_dot_at.

Python Opengl Tutorial

You can even spend your Bitcoins here: 148DAL93PntFgkC4K4JDGmZDW5Wt7CgPyn