Uniden UBC-125XLT USB serial port support 128 000 bps speed. 230 400 bps setting can be also used, it seems maybe a bit faster than 115 200 bps.
import serial
import pandas as pd
import matplotlib.pyplot as plt
import csv
from datetime import datetime
ser = serial.Serial('COM11', '128000', timeout = 0.5)
print(ser.name)
serialCmd = b'PWR\r'
readSize = 19
loop = True
freq = ""
win = 0
data = []
log_data = []
cols = ['Frequency', 'RSSI', 'Timestamp']
plt.xlabel("Frequency")
plt.ylabel("RSSI")
try:
while (loop == True):
ser.write(serialCmd)
result = ser.read(readSize)
res = str(result)
if (len(res) > 15):
i = res.find(",")
j = res.find(",", i + 1)
if ((i != -1) and (j != -1)):
freq = res[j + 1:j + 9]
win = int(res[i + 1:i + (j - i)])
log_data.append([freq, win, datetime.now().strftime("%Y%m%d%H%M%S")])
i = -1
b = False
for x in data:
i = i + 1
if (x[0] == freq):
data[i][1] = win
b = True
break
if (b == False):
data.append([freq, win])
df = pd.DataFrame(data, columns = ['Frequency', 'RSSI'])
df = df.sort_values("Frequency")
plt.clf()
plt.xticks(rotation = 90)
plt.bar('Frequency', 'RSSI', data = df)
plt.pause(0.03)
except KeyboardInterrupt:
loop = False
plt.close()
ser.close()
with open("c:\\temp\\unidenscope.csv", 'w', newline = '') as csvfile:
csvwriter = csv.writer(csvfile)
csvwriter.writerow(cols)
csvwriter.writerows(log_data)
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