Optimized no Pandas Python band scope for the Uniden scanners

Works with all Uniden scanners which have PWR remote command.

https://techcoderadio.blogspot.com/2025/05/optimized-python-uniden-pwr-command.html

 

Optimized, Pandas removed

import serial
import matplotlib.pyplot as plt
import csv
import os
import time
from datetime import datetime

SER_PORT = 'COM14'
SER_BAUD = 115200
SER_TIMEOUT = 0.5
SER_CMD = b'PWR\r'
READ_SIZE = 19

OUT_DIR = r"c:\temp"
OUT_FILE = os.path.join(OUT_DIR, 'unidenscope.csv')

def out_dir():
    try:
        os.makedirs(OUT_DIR, exist_ok=True)
    except Exception:
        pass

def main():
    ser = serial.Serial(SER_PORT, SER_BAUD, timeout=SER_TIMEOUT)
    print(ser.name)

    readings = {}
    log_data = []

    plt.ion()
    fig, ax = plt.subplots()
    ax.set_xlabel("Frequency")
    ax.set_ylabel("RSSI")
    fig.set_figwidth(15)
    fig.set_figheight(9)
    fig.canvas.manager.window.move(0,0)

    try:
        while True:
            ser.write(SER_CMD)
            raw = ser.read(READ_SIZE)

            res = raw.decode(errors='ignore').replace('\r', '').strip()

            parts = res.split(',')
            if len(parts) < 3:
                continue

            freq = parts[2]
            rssi = int(parts[1])

            readings[freq] = rssi
            log_data.append([freq, rssi, datetime.now().strftime("%Y%m%d%H%M%S")])

            freqs = sorted(readings.keys(), key=lambda x: float(x))
            values = [readings[f] for f in freqs]

            ax.clear()
            ax.bar(range(len(freqs)), values)
            ax.set_xticks(range(len(freqs)))
            ax.set_xticklabels(freqs, rotation=90)
            ax.set_xlabel("Frequency")
            ax.set_ylabel("RSSI")
            plt.pause(0.03)

    except KeyboardInterrupt:
        plt.close()
    finally:
        try:
            ser.close()
        except Exception:
            pass

    out_dir()
    cols = ['Frequency', 'RSSI', 'Timestamp']
    try:
        with open(OUT_FILE, 'w', newline='') as csvfile:
            csvwriter = csv.writer(csvfile)
            csvwriter.writerow(cols)
            csvwriter.writerows(log_data)
    except Exception as e:
        print('Failed writing CSV:', e)

if __name__ == '__main__':
    main()