Skip to content

cmf84/Adafruit_CircuitPython_RA8875

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Introduction

Documentation Status Discord Build Status Code Style: Black

This is a full featured CircuitPython Library for the RA8875 that included all of the hardware accelerated drawing functions as the original Arduino library. A lot of the functionality has been streamlined with a focus on ease of use that is still flexible enough to make full use of the hardware. For instace, Graphics and Text mode switching is now automatic and handled in the background.

Dependencies

This driver depends on:

Please ensure all dependencies are available on the CircuitPython filesystem. This is easily achieved by downloading the Adafruit library and driver bundle.

Installing from PyPI

On supported GNU/Linux systems like the Raspberry Pi, you can install the driver locally from PyPI. To install for current user:

pip3 install adafruit-circuitpython-ra8875

To install system-wide (this may be required in some cases):

sudo pip3 install adafruit-circuitpython-ra8875

To install in a virtual environment in your current project:

mkdir project-name && cd project-name
python3 -m venv .venv
source .venv/bin/activate
pip3 install adafruit-circuitpython-ra8875

Usage Example

See examples/ra8875_simpletest.py and examples/ra8875_bmptest.py for examples of the module's usage. When running the bmptest, be sure to upload the blinka.bmp image to the root folder as well.

Documentation

API documentation for this library can be found on Read the Docs.

For information on building library documentation, please check out this guide.

Contributing

Contributions are welcome! Please read our Code of Conduct before contributing to help this project stay welcoming.

About

CircuitPython library for the RA8875 TFT driver board

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 71.9%
  • Jupyter Notebook 28.1%