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The SparkFun Qwiic 9 Degrees of Freedom IMU 9DOF Module provides a simple and cost effective solution for adding 9 Degrees of Freedom IMU capabilities to your project. Implementing a SparkFun Qwiic I2C interface, these sensors can be rapidly added to any project with boards that are part of the SparkFun Qwiic ecosystem.
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Python module for the qwiic ICM-20948 sensor, which is included on the [SparkFun 9DoF IMU Breakout - ICM-20948 (Qwiic)](https://www.sparkfun.com/products/15335)
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This repository implements a Python package for the SparkFun Qwiic 9DOF. This package works with Python, MicroPython and CircuitPython.
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This python package is a port of the existing [SparkFun ICM-20948 Arduino Library](https://github.com/sparkfun/SparkFun_ICM-20948_ArduinoLibrary)
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### Contents
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This package can be used in conjunction with the overall [SparkFun qwiic Python Package](https://github.com/sparkfun/Qwiic_Py)
This python package enables the user to access the features of the 9DOF via a single Qwiic cable. This includes reading acceleration, reading gyroscope, reading magnetometer, reading temperature and more. The capabilities of the 9DOF are each demonstrated in the included examples.
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New to qwiic? Take a look at the entire [SparkFun qwiic ecosystem](https://www.sparkfun.com/qwiic).
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##Contents
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### Supported SparkFun Products
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*[Supported Platforms](#supported-platforms)
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*[Dependencies](#dependencies)
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*[Installation](#installation)
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*[Documentation](#documentation)
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*[Example Use](#example-use)
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This Python package supports the following SparkFun qwiic products on Python, MicroPython and Circuit python.
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Supported Platforms
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--------------------
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The qwiic ICM20948 Python package current supports the following platforms:
The SparkFun qwiic ICM20948 module documentation is hosted at [ReadTheDocs](https://qwiic-9dof-imu-icm20948-py.readthedocs.io/en/latest/?)
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| Python | Platform | Boards |
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|--|--|--|
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| Python | Linux |[Raspberry Pi](https://www.sparkfun.com/raspberry-pi-5-8gb.html) , [NVIDIA Jetson Orin Nano](https://www.sparkfun.com/nvidia-jetson-orin-nano-developer-kit.html) via the [SparkFun Qwiic SHIM](https://www.sparkfun.com/sparkfun-qwiic-shim-for-raspberry-pi.html)|
> The listed supported platforms and boards are the primary platform targets tested. It is fully expected that this package will work across a wide variety of Python enabled systems.
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### PyPi Installation
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This repository is hosted on PyPi as the [sparkfun-qwiic-icm20948](https://pypi.org/project/sparkfun-qwiic-icm20948/) package. On systems that support PyPi installation via pip, this library is installed using the following commands
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## Installation
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For all users (note: the user must have sudo privileges):
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The first step to using this package is installing it on your system. The install method depends on the python platform. The following sections outline installation on Python, MicroPython and CircuitPython.
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### Python
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#### PyPi Installation
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The package is primarily installed using the `pip3` command, downloading the package from the Python Index - "PyPi".
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Note - the below instructions outline installation on a Linux-based (Raspberry Pi) system.
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First, setup a virtual environment from a specific directory using venv:
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```sh
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sudo pip install sparkfun-qwiic-icm20948
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python3 -m venv path/to/venv
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```
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For the current user:
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You can pass any path as path/to/venv, just make sure you use the same one for all future steps. For more information on venv [click here](https://docs.python.org/3/library/venv.html).
Now you should be able to run any example or custom python scripts that have `import qwiic_icm20948` by running e.g.:
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```sh
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pip install sparkfun-qwiic-icm20948
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path/to/venv/bin/python3 example_script.py
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```
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### Local Installation
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To install, make sure the setuptools package is installed on the system.
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### MicroPython Installation
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If not already installed, follow the [instructions here](https://docs.micropython.org/en/latest/reference/mpremote.html) to install mpremote on your computer.
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Direct installation at the command line:
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Connect a device with MicroPython installed to your computer and then install the package directly to your device with mpremote mip.
If not already installed, follow the [instructions here](https://docs.circuitpython.org/projects/circup/en/latest/#installation) to install CircUp on your computer.
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Ensure that you have the latest version of the SparkFun Qwiic CircuitPython bundle.
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```sh
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circup bundle-add sparkfun/Qwiic_Py
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```
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Finally, connect a device with CircuitPython installed to your computer and then install the package directly to your device with circup.
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```sh
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circup install --py qwiic_icm20948
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```
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If you would like to install any of the examples from this repository, issue the corresponding circup command from below. (NOTE: The below syntax assumes you are using CircUp on Windows. Linux and Mac will have different path seperators. See the [CircUp "example" command documentation](https://learn.adafruit.com/keep-your-circuitpython-libraries-on-devices-up-to-date-with-circup/example-command) for more information)
See the examples directory for more detailed use examples.
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Below is a quickstart program to print readings from the 9DOF.
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See the examples directory for more detailed use examples and [examples/README.md](https://github.com/sparkfun/qwiic_9dof_py/blob/main/examples/README.md) for a summary of the available examples.
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```python
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from__future__import print_function
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import qwiic_icm20948
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import time
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import sys
@@ -109,20 +126,20 @@ def runExample():
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return
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IMU.begin()
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whileTrue:
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ifIMU.dataReady():
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IMU.getAgmt() # read all axis and temp from sensor, note this also updates all instance variables
Below is a brief summary of each of the example programs included in this repository. To report a bug in any of these examples or to request a new feature or example [submit an issue in our GitHub issues.](https://github.com/sparkfun/qwiic_9dof_py/issues).
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NOTE: Any numbering of examples is to retain consistency with the Arduino library from which this was ported.
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