Hi, In this instructable, we’ll see how to use the Pyserial library in Python in order to make a serial connection via a COM Port (in our example COM3) and receive the temperature and humidity values from an MSP430 Microcontroller which is programmed to obtain data from a DHT11 sensor.
In addition to this, we’ll see how to write these serial output to a text file and then we’ll use matplotlib and numpy libraries to process the data from the text file and plot temperature & humidity change by time.
Step 1: Circuit Setup
In order to see how to obtain the value from the MSP430 microcontroller and send them to the serial port you can use the following instructables:
You can also use other microcontroller boards such as Arduino, in that case the only thing you’ll need to pay attention is the COM port that you’re using and the speed (baudrate) of the connection.
Step 2: Installing Pyserial Library
We’ll use the following command in the command prompt (Windows) for installing Pyserial Library:
python -m pip install pyserial
Step 3: Python Code Using Serial Library
In this step, we’ll write the code that opens a serial connection, prints the received messages to the terminal (command prompt) and at the same time to a text file that we specify. You can change the port and baudrate settings with (ser.port and ser.baudrate)
While writing to the text file, the code also puts timestamps in the beginning of the line in order to log when the measurement was received.
from time import localtime, strftime
ser = serial.Serial()
ser.port = ‘COM3’
ser.baudrate = 19200
temp_file = open(‘temp_humid.txt’, ‘a’, encoding = ‘utf-8’)
line = ser.readline()
temp_file.write(strftime(“%d %b %Y %H%M%S “, localtime()))
Step 4: Plotting Temperature and Humidity Change
In this final step, using the log file that we created in the previous step, we’ll plot the temperature and humidity change over time. In order to plot temperature, you need to set the line y = matrix_data[:,6] . In order to plot humidity, you need to set the line y = matrix_data[:,-2] (6 and -2 correspond to the colums representing temperature and humidity values respectively, you can check for the text file, first column having the indice 0)
import numpy as np
import matplotlib.pyplot as plt
read_file=input(‘Please enter file name to read: ‘)
test2_file=open(read_file, ‘r’, encoding = ‘utf-8’)
matrix_data = np.genfromtxt(test2_file)
x = matrix_data[:,3]
y = matrix_data[:,-2]
Thank you for your time..