bme280pi: the BME280 Sensor Reader for Raspberry Pi
Project description
bme280pi: the BME280 Sensor Reader for Raspberry Pi
How to Install
Enable the I2C Interface
sudo raspi-config
- Select "Interfacing Options"
- Highlight the "I2C" option, and activate "Select" (use tab)
- Answer the question if you'd like the ARM I2C interface to be enabled with "Yes"
- Select "Ok"
- Reboot
For a walk-through with screenshots see the references below.
Install Utilities
Install python-smbus
and i2ctools
:
sudo apt-get update && sudo apt-get install -y python-smbus i2c-tools
Then, shut down your Raspberry Pi: sudo halt
. Disconnect your Raspberry Pi power supply.
You are now ready to connect the BME280 sensor.
Connect the BME280 sensor
Install This Module
Installing With pip (Recommended)
You can then install this module by running pip install bme280pi
Installing From Source
If you want the latest version, you can check out the sources and install the package yourself:
git clone https://github.com/MarcoAndreaBuchmann/bme280pi.git
cd bme280pi
python setup.py install
Using it in your script
You can initialize the sensor class as follows:
from bme280pi import Sensor
sensor = Sensor()
You can then use the sensor
object to fetch data, sensor.get_data()
, which will return a dictionary
with temperature, humidity, and pressure readings.
You can also just get the temperature (sensor.get_temperature()
),
just the pressure (sensor.get_pressure()
), or
just the humidity (sensor.get_humidity()
).
Note that all commands support user-specified units, e.g. sensor.get_temperature(unit='F')
,
or sensor.get_pressure(unit='mmHg')
.
You can e.g. query the sensor every 10 seconds, and add the results to a dictionary, and then turn that into a pandas DataFrame and plot that (requires matplotlib and pandas):
import time
import datetime
import pandas
import matplotlib.pyplot as plt
from bme280pi import Sensor
measurements = {}
for i in range(20):
measurements[datetime.datetime.now()] = sensor.get_data()
time.sleep(10)
measurements = pd.DataFrame(measurements).transpose()
plt.figure()
plt.subplot(2, 2, 1)
measurements['temperature'].plot()
plt.title("Temperature (C)")
plt.subplot(2, 2, 2)
measurements['pressure'].plot()
plt.title("Pressure (hPa)")
plt.subplot(2, 2, 3)
measurements['humidity'].plot()
plt.title("Relative Humidity (%)")
plt.savefig("Measurements.png")
Reporting Issues
Please feel free to report any issues you encounter at the issue tracker.
References
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