Skip to main content

Python bindings for Raspberry Pi HX711 C++ Library

Project description

Raspberry Pi HX711 Python Bindings

Upload to PyPI Downloads

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
  • This repo automatically rebuilds when the C++ library is updated

Sample Output

hx711.gif

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

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
with SimpleHX711(2, 3, -370, -367471) as hx:

  # set the scale to output weights in ounces
  hx.setUnit(Mass.Unit.OZ)

  # zero the scale
  hx.zero()

  # constantly output weights using the median of 35 samples
  while True:
    print(hx.weight(35)) #eg. 1.08 oz

Alternative Syntax (w/out with)

from HX711 import *

hx = SimpleHX711(2, 3, -370, -367471)
hx.setUnit(Mass.Unit.OZ)
hx.zero()
while True:
  print(hx.weight(35))

Keep in mind that calling .weight() will return a Mass object, but you can do the following:

# set the scale to output weights in ounces
hx.setUnit(Mass.Unit.OZ)

# obtain a median reading from 35 samples as a Mass object in ounces
m = hx.weight(35)

# number in ounces
num = float(m) # eg. 1.08

# string representation of the Mass
s = str(m) # eg. 1.08 oz

# print the Mass object
print(m) # eg. 1.08 oz

# change the unit to grams
m.setUnit(Mass.Unit.G)
grams_as_str = str(m) # eg. 30.62 g

# or obtain a new Mass object
m2 = m.convertTo(Mass.Unit.KG)
kgs_as_str = str(m2) # eg. 0.031 kg

The list of different Mass.Units can be viewed here.

Time-Based Sampling

You can use datetime.timedelta to obtain as many samples as possible within the time period.

from HX711 import *
from datetime import timedelta

with SimpleHX711(2, 3, -370, -367471) as hx:
  while True:
    # eg. obtain as many samples as possible within 1 second
    print(hx.weight(timedelta(seconds=1)))

Options

.weight(), .zero(), and .read() can all take an Options parameter. You can use this to fine tune how you want the scale to behave.

# zero the scale by using the average value of all samples obtained within 1 second
hx.zero(Options(
  timedelta(seconds=1),
  ReadType.Average))

# obtain a raw value from the scale using the median of 100 samples
num = hx.read(Options(
  100,
  ReadType.Median))

# obtain a Mass object using the median of three samples
# all four statements below are equivalent
m = hx.weight()
m = hx.weight(3)
m = hx.weight(Options())
m = hx.weight(Options(
  3,
  ReadType.Median))

# Options can also be created separately
opts = Options()
opts.timeout = timedelta(seconds=5)
opts.stratType = StrategyType.Time
m = hx.weight(opts)

Install

  1. Install libhx711

  2. pip3 install --upgrade 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://raw.githubusercontent.com/endail/hx711-rpi-py/master/src/calibrate.py
pi@raspberrypi:~ $ python3 calibrate.py [data pin] [clock pin]

Substitute [data pin] and [clock pin] with the GPIO pin numbers which are connected to the HX711's data pin and clock pin, respectively.

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. You can check precisely which functionality is accessible through Python in the bindings.cpp file.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hx711-rpi-py-1.65.0.tar.gz (6.7 kB view details)

Uploaded Source

Built Distributions

hx711_rpi_py-1.65.0-cp311-cp311-linux_armv7l.whl (154.6 kB view details)

Uploaded CPython 3.11

hx711_rpi_py-1.65.0-cp311-cp311-linux_armv6l.whl (154.6 kB view details)

Uploaded CPython 3.11

File details

Details for the file hx711-rpi-py-1.65.0.tar.gz.

File metadata

  • Download URL: hx711-rpi-py-1.65.0.tar.gz
  • Upload date:
  • Size: 6.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for hx711-rpi-py-1.65.0.tar.gz
Algorithm Hash digest
SHA256 fafe804a6deda31f5a6476eba59a0f39ee75bafab5c6c158a475a9e8407ed2d6
MD5 31ac42037d7d696e4a1699931646be63
BLAKE2b-256 dbcb7426f6621b9a2ef616e3eb7dbc68073504a9b81658d877158b81233cff3a

See more details on using hashes here.

File details

Details for the file hx711_rpi_py-1.65.0-cp311-cp311-linux_armv7l.whl.

File metadata

File hashes

Hashes for hx711_rpi_py-1.65.0-cp311-cp311-linux_armv7l.whl
Algorithm Hash digest
SHA256 2dd3abe960cb04df5e5ea36d0789db91fbbf6ce4d31df8f0dcd49ce13922d9c6
MD5 d293fe85e3b1eb0e258d57270888f282
BLAKE2b-256 2749f64b71716922ebcd0551dfb1c6a06da222faf2396150a00fecba28c7bff2

See more details on using hashes here.

File details

Details for the file hx711_rpi_py-1.65.0-cp311-cp311-linux_armv6l.whl.

File metadata

File hashes

Hashes for hx711_rpi_py-1.65.0-cp311-cp311-linux_armv6l.whl
Algorithm Hash digest
SHA256 10d15b6f6e7b7480a12cf15cb793fc2e804142fa80ff29927987bd972b7e2ac1
MD5 c72f3a9faa75efefe66dc98501133439
BLAKE2b-256 deb5afe7e5ef662a9aaf07d85b8f04bf02b223a6d19114171661636c7d5cbd09

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page