Python bindings for Raspberry Pi HX711 C++ Library
Project description
Raspberry Pi HX711 Python Bindings
Python bindings for Raspberry Pi HX711 C++ Library
- Use with Raspberry Pi
- Read from a HX711 using Python
- Code tested inside virtual Raspberry Pi Zero/3/4 environments on GitHub and builds automatically uploaded to PyPI
Sample Output
The .gif above illustrates the output of a simple Python script on a Raspberry Pi Zero W where the HX711 chip was operating at 80Hz. In this example, each time the .weight
function is called the median of three samples was used to calculate the weight in grams.
Examples
SimpleHX711 Example
from HX711 import *
# create a SimpleHX711 object using GPIO pin 2 as the data pin,
# GPIO pin 3 as the clock pin, -370 as the reference unit, and
# -367471 as the offset
hx = SimpleHX711(2, 3, -370, -367471)
# set the scale to output weights in ounces
hx.setUnit(Mass.Unit.OZ)
# constantly output weights using the median of 35 samples
while True:
print(hx.weight(35)) #eg. 1.08 oz
AdvancedHX711 Example
from HX711 import *
from datetime import timedelta
# create an AdvancedHX711 object using GPIO pin 2 as the data pin,
# GPIO pin 3 as the clock pin, -370 as the reference unit, -367471
# as the offset, and indicate that the chip is operating at 80Hz
hx = AdvancedHX711(2, 3, -370, -367471, Rate.HZ_80)
# constantly output weights using the median of all samples
# obtained within 1 second
while True:
print(hx.weight(timedelta(seconds=1))) #eg. 0.03 g
Install
-
Install libhx711. Optionally, you can use this script.
-
pip3 install hx711-rpi-py
Calibrate
There is a Python script in the src
directory you can use to calibrate your load cell and obtain the reference unit and offset values referred to above. The simplest way to use it after installing hx711-rpi-py
is as follows:
pi@raspberrypi:~ $ wget https://github.com/endail/hx711-rpi-py/blob/master/src/calibrate.py
pi@raspberrypi:~ $ python3 calibrate.py
When you no longer need it, simply rm calibrate.py
to remove the calibration script.
Documentation
As the Python code relies upon the underlying C++ library, the documentation is identical. However, not all of the code is exposed to Python. An example is the Utility class, which is only meant for use within the C++ library. You can check precisely which functionality is accessible through Python in the bindings.cpp file.
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