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https://github.com/jposada202020/MicroPython_UPLOT

⛔️ DEPRECATED MicroPython Small Graphics framework using the IL9486 display
https://github.com/jposada202020/MicroPython_UPLOT

archived bar canvas cartesian deprecated graphics il9486 logging micropython obsolete pico plot scatter

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⛔️ DEPRECATED MicroPython Small Graphics framework using the IL9486 display

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README

        

⛔️ DEPRECATED
===============

This repository is no longer supported, please consider using alternatives.

.. image:: http://unmaintained.tech/badge.svg
:target: http://unmaintained.tech
:alt: No Maintenance Intended

MicroPython Graphics Library. This library uses the IL9486 driver from Peter Hinch taken from
https://github.com/peterhinch/micropython-nano-gui. with a Waveshare 3.5 display
This library uses FrameBuffer. It could work for other displays, however, is not my intention to
adapt or provide this functionality. This is an exercise to learn MicroPython Graphics adapting
the following library from CircuitPython
https://github.com/jposada202020/CircuitPython_uplot

Take a look in the `examples `_ section in RTD to see the gallery

.. image:: https://github.com/jposada202020/MicroPython_UPLOT/blob/main/docs/readme1.png

Installing with mip
====================
To install using mpremote

.. code-block:: shell

mpremote mip install github:jposada202020/MicroPython_UPLOT

To install directly using a WIFI capable board

.. code-block:: shell

mip.install("github:jposada202020/MicroPython_UPLOT")

Installing Library Examples
============================

If you want to install library examples:

.. code-block:: shell

mpremote mip install github:jposada202020/MicroPython_UPLOT/examples.json

To install directly using a WIFI capable board

.. code-block:: shell

mip.install("github:jposada202020/MicroPython_UPLOT/examples.json")

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:

.. code-block:: shell

pip3 install micropython-uplot

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

.. code-block:: shell

sudo pip3 install micropython-uplot

To install in a virtual environment in your current project:

.. code-block:: shell

mkdir project-name && cd project-name
python3 -m venv .venv
source .env/bin/activate
pip3 install micropython-uplot

Usage Example
=============

Take a look at the examples directory

Documentation
=============
API documentation for this library can be found on `Read the Docs `_.