It's easy to use the DPS310 sensor with CircuitPython or Python and the Adafruit CircuitPython DPS310 library.  This library will allow you to easily write Python code that reads the barometric pressure, altitude and more from the sensor.

You can use this sensor with any CircuitPython microcontroller board or with a computer that has GPIO and Python thanks to Adafruit_Blinka, our CircuitPython-for-Python compatibility library.

CircuitPython Microcontroller Wiring

First wire up a DSM310 breakout to your board exactly as shown below. Here's an example of wiring a Feather M4 to the sensor with I2C:

  • Board 3V to sensor VIN (red wire)
  • Board GND to sensor GND (black wire)
  • Board SCL to sensor SCK/SCL (yellow wire)
  • Board SDA to sensor SDI/SDA (blue wire)

Python Computer Wiring

Since there's dozens of Linux computers/boards you can use, we will show wiring for Raspberry Pi. For other platforms, please visit the guide for CircuitPython on Linux to see whether your platform is supported

Here's the Raspberry Pi wired to the sensor using I2C:

  • Pi 3V to sensor VCC (red wire)
  • Pi GND to sensor GND (black wire)
  • Pi SCL to sensor SCK/SCL (yellow wire)
  • Pi SDA to sensor SDI/SDA (blue wire)

CircuitPython Installation of DPS310 Library

You'll need to install the Adafruit CircuitPython DPS310 library on your CircuitPython board.

First make sure you are running the latest version of Adafruit CircuitPython for your board.

Next you'll need to install the necessary libraries to use the hardware--carefully follow the steps to find and install these libraries from Adafruit's CircuitPython library bundle.  Our CircuitPython starter guide has a great page on how to install the library bundle.

For non-express boards like the Trinket M0 or Gemma M0, you'll need to manually install the necessary libraries from the bundle:

  • adafruit_dps310.mpy
  • adafruit_bus_device
  • adafruit_register

Before continuing make sure your board's lib folder has the adafruit_dps310.mpy, adafruit_bus_device, and adafruit_register files and folders copied over.

Next connect to the board's serial REPL so you are at the CircuitPython >>> prompt.

Python Installation of DPS310 Library

You'll need to install the Adafruit_Blinka library that provides the CircuitPython support in Python. This may also require enabling I2C on your platform and verifying you are running Python 3. Since each platform is a little different, and Linux changes often, please visit the CircuitPython on Linux guide to get your computer ready!

Once that's done, from your command line run the following command:

  • sudo pip3 install adafruit-circuitpython-dps310

If your default Python is version 3 you may need to run 'pip' instead. Just make sure you aren't trying to use CircuitPython on Python 2.x, it isn't supported!

CircuitPython & Python Usage

To demonstrate the usage of the sensor we'll initialize it and read the barometric pressure measurements from the board's Python REPL.

Run the following code to import the necessary modules and initialize the I2C connection with the sensor:

Download: file
import time
import board
import busio
import adafruit_dps310

i2c = busio.I2C(board.SCL, board.SDA)

dps310 = adafruit_dps310.DPS310(i2c)

Now you're ready to read values from the sensor using these properties:

  • pressure - The barometric pressure in hPa
  • temperature - The temperature in degrees C

For example to print the pressure and temperature values:

Download: file
print("Temperature = %.2f *C"%dps310.temperature)
print("Pressure = %.2f hPa"%dps310.pressure)

For more details, check out the library documentation.

That's all there is to using the DPS310 Precision Barometric Pressure Sensor with CircuitPython!

Example Code

import time
import board
import busio
import adafruit_dps310

i2c = busio.I2C(board.SCL, board.SDA)

dps310 = adafruit_dps310.DPS310(i2c)

while True:
    print("Temperature = %.2f *C" % dps310.temperature)
    print("Pressure = %.2f hPa" % dps310.pressure)
    print("")
    time.sleep(1.0)
This guide was first published on Feb 03, 2020. It was last updated on Feb 03, 2020.
This page (Python & CircuitPython) was last updated on Oct 25, 2020.