A minimalistic wrapper around PyOpenGL to save development time

Overview

glpy

glpy is pyOpenGl wrapper which lets you work with pyOpenGl easily.It is not meant to be a replacement for pyOpenGl but runs on top of pyOpenGl to avoid most of the boiler plate setup

Features

  • Robust abstraction over pyOpenGl event loop
  • decorators to simplify callback functions

Code Example

from  glpy  import *
app = glpy()

@point(10)
def plotpoints():
    glColor3f(100, 150, 200)
    glVertex2f(0,0)
    
app.run(lambda:plotpoints())

find more examples here

Installation

pip install glpy

API Reference

glpy()

allowed keyword arguments
Parameter Type Description Default
mode constant Display mode GLUT_RGBA
size tuple Window size (500,500)
position tuple Window position (0,0)
bgcolor tuple background color (0, 0, 0, 1.0)
title string window title new title
axis_range tuple The range of 2D plane (-100, 100,-100, 100)

How to use?

  • Make sure you have opengl installed on your system

  • Install the package using pip.

  • import the package and initialilze glpy

    app = glpy()

  • you can pass in additional parameters as seen in the API Reference as keyword arguments

    app = glpy(title = "line drawing")

  • define your callback function with the help of point decorator which takes the size of the point to be plotted as an argument . NOTE: using a decorator is not neccesory for the library to work but it can significatly reduce the code size

    @point(10)
    def plotpoints():
        glColor3f(100, 468, 200)
        glVertex2f(0,0)
    
  • call the run the method using the callback function as an argument to run the function NOTE: use a lambda function to pass callback functions with arguments

    app.run(lambda:plotpoints())

Contribute

Contributions are what makes the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

APACHE © Abhinav TB

You might also like...
Visualise Ansible execution time across playbooks, tasks, and hosts.
Visualise Ansible execution time across playbooks, tasks, and hosts.

ansible-trace Visualise where time is spent in your Ansible playbooks: what tasks, and what hosts, so you can find where to optimise and decrease play

This plugin plots the time you spent on a tag as a histogram.
This plugin plots the time you spent on a tag as a histogram.

This plugin plots the time you spent on a tag as a histogram.

The Spectral Diagram (SD) is a new tool for the comparison of time series in the frequency domain
The Spectral Diagram (SD) is a new tool for the comparison of time series in the frequency domain

The Spectral Diagram (SD) is a new tool for the comparison of time series in the frequency domain. The SD provides a novel way to display the coherence function, power, amplitude, phase, and skill score of discrete frequencies of two time series. Each SD summarises these quantities in a single plot for multiple targeted frequencies.

Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from time series data.
Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from time series data.

ts2vg: Time series to visibility graphs The Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from t

Arras.io Highest Scores Over Time Bar Chart Race

Arras.io Highest Scores Over Time Bar Chart Race This repo contains a python script (make_racing_bar_chart.py) that can generate a csv file which can

Time series visualizer is a flexible extension that provides filling world map by country from real data.
Time series visualizer is a flexible extension that provides filling world map by country from real data.

Time-series-visualizer Time series visualizer is a flexible extension that provides filling world map by country from csv or json file. You can know d

Calendar heatmaps from Pandas time series data
Calendar heatmaps from Pandas time series data

Note: See MarvinT/calmap for the maintained version of the project. That is also the version that gets published to PyPI and it has received several f

LabGraph is a a Python-first framework used to build sophisticated research systems with real-time streaming, graph API, and parallelism.
LabGraph is a a Python-first framework used to build sophisticated research systems with real-time streaming, graph API, and parallelism.

LabGraph is a a Python-first framework used to build sophisticated research systems with real-time streaming, graph API, and parallelism.

Movies-chart - A CLI app gets the top 250 movies of all time from imdb.com and the top 100 movies from rottentomatoes.com
Movies-chart - A CLI app gets the top 250 movies of all time from imdb.com and the top 100 movies from rottentomatoes.com

movies-chart This CLI app gets the top 250 movies of all time from imdb.com and

Comments
  • Dependency to PyOpenGL missing

    Dependency to PyOpenGL missing

    I installed glpy via pip install git+https://github.com/abhinav-TB/glpy. If I do

    import glpy
    

    I get

    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
      File "/home/stephan/venvs/test/lib/python3.9/site-packages/glpy/__init__.py", line 1, in <module>
        from glpy.main import *
      File "/home/stephan/venvs/test/lib/python3.9/site-packages/glpy/main.py", line 1, in <module>
        from OpenGL.GL import *
    ModuleNotFoundError: No module named 'OpenGL'
    
    opened by stephan-cr 5
  • Configure Renovate

    Configure Renovate

    WhiteSource Renovate

    Welcome to Renovate! This is an onboarding PR to help you understand and configure settings before regular Pull Requests begin.

    🚦 To activate Renovate, merge this Pull Request. To disable Renovate, simply close this Pull Request unmerged.


    Detected Package Files

    • .github/workflows/main.yml (github-actions)

    Configuration Summary

    Based on the default config's presets, Renovate will:

    • Start dependency updates only once this onboarding PR is merged
    • Enable Renovate Dependency Dashboard creation
    • If semantic commits detected, use semantic commit type fix for dependencies and chore for all others
    • Ignore node_modules, bower_components, vendor and various test/tests directories
    • Autodetect whether to pin dependencies or maintain ranges
    • Rate limit PR creation to a maximum of two per hour
    • Limit to maximum 20 open PRs at any time
    • Group known monorepo packages together
    • Use curated list of recommended non-monorepo package groupings
    • Fix some problems with very old Maven commons versions
    • Ignore spring cloud 1.x releases
    • Ignore http4s digest-based 1.x milestones
    • Use node versioning for @types/node
    • Limit concurrent requests to reduce load on Repology servers until we can fix this properly, see issue 10133

    🔡 Would you like to change the way Renovate is upgrading your dependencies? Simply edit the renovate.json in this branch with your custom config and the list of Pull Requests in the "What to Expect" section below will be updated the next time Renovate runs.


    What to Expect

    With your current configuration, Renovate will create 1 Pull Request:

    Update actions/setup-python action to v2
    • Schedule: ["at any time"]
    • Branch name: renovate/actions-setup-python-2.x
    • Merge into: master
    • Upgrade actions/setup-python to v2

    ❓ Got questions? Check out Renovate's Docs, particularly the Getting Started section. If you need any further assistance then you can also request help here.


    This PR has been generated by WhiteSource Renovate. View repository job log here.

    opened by renovate[bot] 0
Releases(0.1.1)
Owner
Abhinav
Tech explorer | passionate developer | loves to automate things | problem-solving | CSE undergrad @CUSAT
Abhinav
Wikipedia WordCloud App generate Wikipedia word cloud art created using python's streamlit, matplotlib, wikipedia and wordcloud packages

Wikipedia WordCloud App Wikipedia WordCloud App generate Wikipedia word cloud art created using python's streamlit, matplotlib, wikipedia and wordclou

Siva Prakash 5 Jan 02, 2022
A Graph Learning library for Humans

A Graph Learning library for Humans These novel algorithms include but are not limited to: A graph construction and graph searching class can be found

Richard Tjörnhammar 1 Feb 08, 2022
Fast visualization of radar_scenes based on oleschum/radar_scenes

RadarScenes Tools About This python package provides fast visualization for the RadarScenes dataset. The Open GL based visualizer is smoother than ole

Henrik Söderlund 2 Dec 09, 2021
Getting started with Python, Dash and Plot.ly for the Data Dashboards team

data_dashboards Getting started with Python, Dash and Plot.ly for the Data Dashboards team Getting started MacOS users: # Install the pyenv version ma

Department for Levelling Up, Housing and Communities 1 Nov 08, 2021
Simple and fast histogramming in Python accelerated with OpenMP.

pygram11 Simple and fast histogramming in Python accelerated with OpenMP with help from pybind11. pygram11 provides functions for very fast histogram

Doug Davis 28 Dec 14, 2022
阴阳师后台全平台(使用网易 MuMu 模拟器)辅助。支持御魂,觉醒,御灵,结界突破,秘闻副本,地域鬼王。

阴阳师后台全平台辅助 Python 版本:Python 3.8.3 模拟器:网易 MuMu | 雷电模拟器 模拟器分辨率:1024*576 显卡渲染模式:兼容(OpenGL) 兼容 Windows 系统和 MacOS 系统 思路: 利用 adb 截图后,使用 opencv 找图找色,模拟点击。使用

简讯 27 Jul 09, 2022
Visualize the training curve from the *.csv file (tensorboard format).

Training-Curve-Vis Visualize the training curve from the *.csv file (tensorboard format). Feature Custom labels Curve smoothing Support for multiple c

Luckky 7 Feb 23, 2022
Dipto Chakrabarty 7 Sep 06, 2022
A Scheil-Gulliver simulation tool using pycalphad.

scheil A Scheil-Gulliver simulation tool using pycalphad. import matplotlib.pyplot as plt from pycalphad import Database, variables as v from scheil i

pycalphad 6 Dec 10, 2021
Declarative statistical visualization library for Python

Altair http://altair-viz.github.io Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understa

Altair 8k Jan 05, 2023
3D-Lorenz-Attractor-simulation-with-python

3D-Lorenz-Attractor-simulation-with-python Animação 3D da trajetória do Atrator de Lorenz, implementada em Python usando o método de Runge-Kutta de 4ª

Hevenicio Silva 17 Dec 08, 2022
Example scripts for generating plots of Bohemian matrices

Bohemian Eigenvalue Plotting Examples This repository contains examples of generating plots of Bohemian eigenvalues. The examples in this repository a

Bohemian Matrices 5 Nov 12, 2022
Graphing communities on Twitch.tv in a visually intuitive way

VisualizingTwitchCommunities This project maps communities of streamers on Twitch.tv based on shared viewership. The data is collected from the Twitch

Kiran Gershenfeld 312 Jan 07, 2023
Simple function to plot multiple barplots in the same figure.

Simple function to plot multiple barplots in the same figure. Supports padding and custom color.

Matthias Jakobs 2 Feb 21, 2022
Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.

ggfortify This package offers fortify and autoplot functions to allow automatic ggplot2 to visualize statistical result of popular R packages. Check o

Sinhrks 504 Dec 23, 2022
An easy to use burndown chart generator for GitHub Project Boards.

Burndown Chart for GitHub Projects An easy to use burndown chart generator for GitHub Project Boards. Table of Contents Features Installation Assumpti

Joseph Hale 15 Dec 28, 2022
Regress.me is an easy to use data visualization tool powered by Dash/Plotly.

Regress.me Regress.me is an easy to use data visualization tool powered by Dash/Plotly. Regress.me.-.Google.Chrome.2022-05-10.15-58-59.mp4 Get Started

Amar 14 Aug 14, 2022
Pebble is a stat's visualization tool, this will provide a skeleton to develop a monitoring tool.

Pebble is a stat's visualization tool, this will provide a skeleton to develop a monitoring tool.

Aravind Kumar G 2 Nov 17, 2021
Create artistic visualisations with your exercise data (Python version)

strava_py Create artistic visualisations with your exercise data (Python version). This is a port of the R strava package to Python. Examples Facets A

Marcus Volz 53 Dec 28, 2022
PyPassword is a simple follow up to PyPassphrase

PyPassword PyPassword is a simple follow up to PyPassphrase. After finishing that project it occured to me that while some may wish to use that option

Scotty 2 Jan 22, 2022