A minimalistic wrapper around PyOpenGL to save development time

Last update: Apr 2, 2022

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.

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

License

APACHE © Abhinav TB

You might also like...

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

81 Dec 15, 2022

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

7 Sep 9, 2022

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.

3 Oct 10, 2022

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

26 Dec 17, 2022

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

7 Oct 5, 2022

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

3 Feb 17, 2022

Comments

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
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)

0.1.1(Oct 17, 2021)
New Features

@grid decorator:- this can be used as a higher level decorator to call back functions. It will create grid lines. This is still in beta and only work with default screen dimensions. Check out this example to learn more

@line decorator:- this is similar to the existing point decorator, it can be used to draw a line easily Check out this example for more info

Source code(tar.gz)
Source code(zip)
glpy-0.1.1-py3-none-any.whl(7.72 KB)
glpy-0.1.1.tar.gz(3.56 KB)

A minimalistic wrapper around PyOpenGL to save development time

Related tags

Overview

glpy

Features

Code Example

Installation

API Reference

glpy()

How to use?

Contribute

License

You might also like...

Visualise Ansible execution time across playbooks, tasks, and hosts.

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

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

Arras.io Highest Scores Over Time Bar Chart Race

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

Calendar heatmaps from Pandas time series data

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

Comments

Dependency to PyOpenGL missing

Configure Renovate

Detected Package Files

Configuration Summary

What to Expect

Releases(0.1.1)

0.1.1(Oct 17, 2021)

New Features

Owner

Abhinav

Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset.

Friday Night Funkin - converts a chart from 4/4 time to 6/8 time, or from regular to swing tempo.

Project coded in Python using Pandas to look at changes in chase% for batters facing a pitcher first time through the order vs. thrid time

Drug design and development team HackBio internship is a virtual bioinformatics program that introduces students and professional to advanced practical bioinformatics and its applications globally.

Simple plotting for Python. Python wrapper for D3xter - render charts in the browser with simple Python syntax.

A python wrapper for creating and viewing effects for Matt Parker's christmas tree.

This component provides a wrapper to display SHAP plots in Streamlit.

Collection of data visualizing projects through Tableau, Data Wrapper, and Power BI

BrowZen correlates your emotional states with the web sites you visit to give you actionable insights about how you spend your time browsing the web.

Smoking Simulation is an app to simulate the spreading of smokers and non-smokers, their interactions and population during certain amount of time.