This repository contains a MicroPython library designed for seamless integration with the ADXL345 accelerometer using the Raspberry Pi Pico. It enables easy configuration and data retrieval over the I²C interface, making it simple to implement in a variety of projects.

1. Initialization:

   • Support for I²C communication with configurable device address.
   • Quick setup of essential parameters for operation.

2. Customizable Configuration:

   • Flexible settings for data formatting, including:
     • Full-resolution mode.
     • Selectable measurement ranges (e.g., ±16g).
   • Power control options:
     • Enable/disable measurement mode.
     • Sleep and wake-up configurations.

3. Data Reading:

   • Retrieve real-time acceleration data for three axes (x, y, z).
   • Results provided as floating-point values for direct application.

4. Error Handling:

   • Graceful termination on user interruption.

from time import sleep
from machine import Pin, I2C
from ADXL345 import ADXL345

# Initialize I²C
i2c = I2C(0, scl=Pin(5), sda=Pin(4), freq=400000) 
adxl345 = ADXL345(i2c, deviceAddress=0x53)

# Configure ADXL345
adxl345.SetDataFormat(self_test=False, spi=False, int_invert=False, full_res=True, justify=False, range=16)
adxl345.SetPowerControl(Link=False, AutoSleep=False, Measure=True, Sleep=False, WakeUp=8)

# Loop to read acceleration
try:
    while True:
        accele = adxl345.GetAcceleration()
        print(f"x, y, z = [{accele[0]:.2f}, {accele[1]:.2f}, {accele[2]:.2f}]")
        sleep(0.1)
except KeyboardInterrupt:
    print("Program terminated.")

• Basic measurement
• Interupts

• Raspberry Pi Pico (or compatible microcontroller with MicroPython interpreter).
• MicroPython (latest version).

1. Clone the repository to your development environment.
2. Copy the library file (ADXL345.py) to your MicroPython device.
3. Use the provided example as a template to integrate the library into your project.