micropython lcd display free sample

uPyMenu is a micropython menu implementation for LCD displays. Coming from an Arduino experience, I was used with LiquidCrystal and LiquidMenu, but they don"t offer a python implementation. So I figured I could create one myself.

The example below renders a menu with a submenu and actions that have callbacks attached which you can use to run your own function. It requires one dependency, and that"s python_lcd for interacting with the LCD itself.

If you have a micropython port running locally, you can run the test suite with it, ie: micropython tests.py. This is as close I can get with my current knowledge about micropython. Any pointers and suggestions towards improvement here would be appreciated!

I’ve published my first library to PyPi! It is a simple utility function you can use in micropython to build menus for LCD displays. I was used to the Liquid Crystal and Liquid Menu while developing on an Arduino.

When I made the switch towards micropython I saw no such thing existed. But having a statemachine like menu is quite easy in Python and I wanted to abstract it a bit into a library, this way it is easier to use for other people!

In this guide, you’ll learn how to use the 0.96 inch SSD1306 OLED display with an ESP32 or ESP8266 using MicroPython firmware. As an example, we’ll show you how to display a simple ‘Hello, World!’ message. Later, we’ll also show you how to use other useful functions to interact with the OLED display.

To follow this tutorial you need MicroPython firmware installed in your ESP32 or ESP8266 boards. You also need an IDE to write and upload the code to your board. We suggest using Thonny IDE or uPyCraft IDE:

The library to write to the OLED display isn’t part of the standard MicroPython library by default. So, you need to upload the library to your ESP32/ESP8266 board.

After initializing the OLED display, you just need to use the text() function on the oled object to write text. After the text() function, you need to call the show() method to update the OLED.

If you want to display sensor readings and they are stored in int or float variables, they should be converted to a String. To convert the data to a string you can use the str() function:

This quick guide showed you how to use the OLED basic functionalities: write text and draw pixels with the ESP32 and ESP8266 using MicroPython. Now, you can use the OLED in your own projects to display messages, or sensor readings.

If you want to learn more about programming the ESP32 and ESP8266 boards with MicroPython, take a look our eBook: MicroPython Programming with ESP32 and ESP8266.

This is a new Pi Pico display from Waveshare with many more pixels. It is a 2inch LCD display module, designed for Raspberry Pi Pico, with an embedded ST7789VW driver, 65K RGB colours, 320x240 pixels and an SPI interface. A Pi Pico can be plugged into the rear of the screen for very easy connection without any soldering. It sports 4 simple button switches for user input. It is bright, colourful and easy to program. The makers supply an example program (see below), which includes the display driver, making it very easy to get started. The manufacturer"s wiki can be found at:

Looking at the pinout we find that the display leaves plenty of free GPIO pins for user projects: 0, 1 ,4, 5 ,6, 7, 14, 22, 26, 27, 28. These include I2C pins for connecting sensors/actuators and the 3 ADC pins for voltages/potentiometers.

The resources Tab provides access to a demonstration program in MicroPython. I downloaded it, unzipped it to access the contents and found MicroPython and C examples. I stuck with the MP, copied the code to Thonny, plugged in the display and Pico and tried it out.

These displays all plug directly into the pins of your Pico and are programmed in the same way but require slightly different driver code, supplied by Waveshare via their Wiki pages.

All these displays need some memory in the Pico, a "buffer", to hold the data to be displayed on the screen. As the number of pixels increases so does the size of this buffer requirement and the space available for code decreases. As the pixel size gets smaller the basic text gets progressively harder the read as it is so small.

For this tutorial we are going to use the 1.44” 128x128 display as it provides a good compromise between basic text size, number of pixels on the display for graphics, buffer size, input buttons and price. The code is easily converted to run on the other displays.

This is simple – just push the Pico’s pins into the socket on the rear of the display and use the USB cable to connect it to your computer. Make sure you have it the right way round - the USB end is marked on the bottom of the board. Once Thonny has been installed we are ready to go.

The first line initialises the display using the driver code at the start of the program. It calls the display device LCD, but we could call it something different – but using LCD makes typing code easier!

All of these Waveshare displays use 16-bit colour codes to mix colours by varying the brightness ratios of red, green and blue in each pixel. As human eyes are more sensitive to green light, an extra bit is given to the green component. This code is called RGB565 with 5 bits for red and blue and 6 bits for green.

At this point we ported the code to work on the other four displays and found that they use a slightly different system - the blue and red bits have been swapped over:

To make things easy we are providing minimum setup programs for each of the 5 boards. Each program includes the correct screen driver, sets up the buttons and joystick, if available, and includes the correct version of the colour(R, G ,B) function. It also displays a 3-line colour check at the start.

Each program contains the screen driver code, sets up the buttons/joystick and sets the width and height variables correctly, loads the essential libraries, defines the colour(R, G, B) and clear(c) procedures. It then displays some colour checking text.

2.Near the centre of the screen, on a dark grey background, display your name, in red, and post/zip code, in cyan. Indent the post code by 10 pixels more than your name.

At this point we need to separate the Pico and the display. We need access to some of the GPIO pins to attach three 10 K 0hm potentiometers. You could press the Pico into a breadboard or, more conveniently use a Pico Decker, which has all the Pico pins neatly numbered and named. The circuit is shown in the diagram.

If your display has buttons, you will not need the extra one here. Connect up the SPI, power and button pins from your display (the product page/Wiki page for your particular display will show the pinout).

Turn all three pots in turn and check that the range of each is 0 – 255. The 1.44” display is 128 x 128 so we added these lines just above the loop and updated the loop.

This article was written by Tony Goodhew. Tony is a retired teacher of computing who starting writing code back in 1968 when it was called programming - he started with FORTRAN IV on an IBM 1130! An active Raspberry Pi community member, his main interests now are coding in MicroPython, travelling and photography.

displays ‘text’ starting at grid (x, y) where the grid is made of cells 8 pixels wide and 10 pixels tall such that the EV3 display is 22 columns wide and 12 rows tall. The size of the grid cells does not depend on the size of the chosen font. There is no fixed-width font available which has dimensions that match the grid cell size and therefore I recommend that you avoid using this function and that you stick to using text_pixels() instead. Even if a font were available that matches the grid cell dimensions it would be a very small font (size 10, meaning 10 pixels tall) and would be very hard to read.

To control an LCD with a microcontroller as the Raspberry Pi Pico can be a quite complicated job. Well, if your display is equipped with an IC2 module and specific MicroPython libraries are available, it’s not that difficult to connect to the display to the Raspberry Pi Pico. Learn with this tutorial how to connect and to program an 1602 LCD with a Raspberry Pi Pico.

There are many types of LCD displays. In this tutorial we are using the popular and affordable 1602 LCD. The LCD has an IC2 module soldered on it (see the pictures below). If your LCD is of the same type, but has a different size, it won’t be a problem to continue with this tutorial. You’ll just have to correct some parameters in the MicroPython script. But if it is from a different type or it has no I2C module, you better look for another tutorial.Prepare the hardware

In this tutorial we are using the popular and quite basic 16×2 or 1602 LCD. It can display 16 characters per line on 2 lines. Each character is made from a matrix with 5×7 dots. It is equipped with a backlight for easy reading. Besides sending text, thanks to specific commands, we can give instructions to the display, as to switch on/off the backlight for example.

The display we use in this tutorial is equipped with a I2C-module (black part on the picture below). I2C is a communication protocol which allows an easier connection between the display and the Raspberry Pi Pico. Indeed, instead of having to wire all the pins on the top of the screen, we only have to connect the display with 4 wires to our Raspberry Pi Pico.

If you bought one of our kits, the hexadecimal address of the LCD is ‘0x27’. And if you don’t know the address, you can find it out with the help of our tutorial ‘Find out an I2C address with the Raspberry Pi Pico‘. We will need the I2C address from the display to insert it in our MicroPython code.

To avoid extensive and complicated code writing, libraries are often used. For our LCD, we will also be using a library. We found the most appropriate library at GitHub from Tyler Peppy. And he based his work on the Python library created by Dave Hylands. As these files from this quite specific library don’t come automatically with MicroPython, we have to install them ourselves.

Now, it’s time to save your script. Just make sure you save this MicroPython file in the same folder as the 2 files from the library you uploaded earlier.

And before running the script, it’s important to adjust the contrast of your LCD. If the contrast isn’t adjusted well, it’s possible you don’t see appearing anything. You can adjust it by turning with a small screwdriver at the blue potentiometer at the back of your LCD (see the pictures here above). Make sure the backlight of the display is on to see the result. If the LCD’s contrast is adjusted right, you can just see the darker rectangles for the characters appear.

Besides the commands we used in the last lines of our script, there are more possibilities to communicate with the LCD. If you want to learn more about, have a look at this Github webpage.

Python is one of the most widely used, simple and easy-to-learn programming languages around. MicroPython is a lean implementation of the Python 3 programming language that has been pared down to run efficiently on microcontrollers.

Makerfabs MakePython ESP32 color LED is development board for IOT applications. Based on ESP32, the boards can act as WIFI node easily; there on-board UART-USB convertors to enable this module to be programmed anytime with a PC. 1.3-inch LCD display screen is suitable for the applications that need colorful displays.

MakePython ESP32 color LED is preloaded with MicroPython, simple and suitable for beginners to learn the basic programming with MicroPython, Of course, users can free to change it to make it work with other platforms such as Arduino/GCC.

i have a d-series pyboard with an lcd1602 display... i am following the documentation at https://pybd.io/hw/pybd_sfxw.html, and http://docs.micropython.org/en/latest/library/pyb.I2C.html, but i am not getting any results.

MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments.

Other places you can look for MicroPython Libraries: PyPi - This filter shows just the MicroPython libraries on PyPi. Note: You cannot pip install micropython libraries. See MicroPython docs for more information on upip.

ucrypto - Micropython package for doing fast rsa and elliptic curve cryptography, specifically digital signatures. ECDSA API design inspired from fastecdsa and implementation based on tomsfastmath.

MicroDNSSrv - A micro DNS server for MicroPython to simply respond to A queries on multi-domains with or without wildcards (used on Pycom modules & ESP32).

sensor-mqtt-homeassistant - An esp8266/32 MicroPython based sensor platform for gpio, dht, analog, led and more. Includes remote updates for .py code from web server and MQTT/Homeassistant integration.

Web MicroWebSrv - A micro HTTP Web server that supports WebSockets, html/python language templating and routing handlers, for MicroPython (used on Pycom modules & ESP32).

MicroWebSrv2 - The last Micro Web Server for IoTs (MicroPython) or large servers (CPython), that supports WebSockets, routes, template engine and with really optimized architecture (mem allocations, async I/Os).

micropython-nano-gui - A tiny display-only GUI with a limited set of GUI objects (widgets) for displays whose display driver is subclassed from the framebuf class. With drivers for TFT, ePaper and OLED displays.

micro-gui Derived from nano-gui and supporting the same displays and hosts, this provides for user input via pushbuttons or a navigation joystick and an optional rotary encoder.

micropython-rgbled - This wrapper module aims to reduce the work needed to work with NeoPixel (WS2812) and DotStar (APA102) RGB LED strips and matrixes.

MicroPython-SN74HCS264 - MicroPython Driver for SN74HCS264 8-Bit Parallel-Out Serial Shift Registers With Schmitt-Trigger Inputs and Inverted Outputs.

ADXL345_spi_micropython - Library for interacting through the SPI protocol with an "Analog Devices ADXL345" accelerometer from an MCU flashed with MicroPython.

Threading MicroWorkers - A micro workers class that easily manages a pool of threads to optimise simultaneous jobs and jobs endings, for MicroPython (used on Pycom modules & ESP32).

micropython-package-template - GitHub workflow supported MicroPython package template with deploys to the Python Package Index on a push to the main branch and test deploys to the Test Python Package Index on PRs.

IDEs BIPES - Web based IDE for MicroPython with file manager, editor, code generation from blocks, IoT dashboard and Serial/USB/Bluetooth/WebREPL console on the web browser! Source: https://github.com/BIPES.

@jcaron I see that the Raspberry Pi official website recommends using micropython to write, if python can also do it, I can also try it, but I searched the Internet to see the examples, even using python to write it also need to use the micropython library.