Hi all,
I am reading data from serial and then plot them. Everytime I wan to read from serial I send a char and get required data.
I want to change my code to update both plots automatically.
1) Send char to serial
2) Read 30k samples to array
3) Plot data (time signal and FFT)
4) Send char to serial
5) Read 30k samples to array
6) Update plots with new data without close plot windows
I am thinking about and the best solution for me is to have one window with one plot and 2 buttons to change the auto-update plot.
Could you help me with this please? Thanks!
This is my code:
I am reading data from serial and then plot them. Everytime I wan to read from serial I send a char and get required data.
I want to change my code to update both plots automatically.
1) Send char to serial
2) Read 30k samples to array
3) Plot data (time signal and FFT)
4) Send char to serial
5) Read 30k samples to array
6) Update plots with new data without close plot windows
I am thinking about and the best solution for me is to have one window with one plot and 2 buttons to change the auto-update plot.
Could you help me with this please? Thanks!
This is my code:
import serial import struct import matplotlib.pyplot as plt import scipy.fft import numpy as np from scipy.fftpack import fft ser = serial.Serial(port='COM8', baudrate=2000000) SAMPLES=30000 SPS = 15000 s = struct.Struct('<' + str(SAMPLES) + 'f') T = 1.0 / SPS unpacked_data1 = [] def serial_read(): ser.reset_input_buffer() ser.write("r".encode()) serial_data = ser.read(SAMPLES*4) unpacked_data = s.unpack(serial_data) unpacked_data1[0:SAMPLES] = unpacked_data[0:SAMPLES] ser.close serial_read() plt.plot(unpacked_data1[0:SAMPLES]) x = np.linspace(0.0, SAMPLES*T, SAMPLES) y = unpacked_data1 yf = scipy.fftpack.fft(y) xf = np.linspace(0.0, 1.0/(2.0*T), SAMPLES//2) fig, ax = plt.subplots() ax.plot(xf, 2.0/SAMPLES * np.abs(yf[:SAMPLES//2])) plt.show() 
