Today I am playing with Python and Matplotlib. In BPQ32 you have the option to save the Most Heard list (MH) when you close BPQ32. This contains a lot of data that you can use. Above I made a plot of the received stations and the number of packets I received at 14.1022Mhz + 1000Hz at 300Baud. Now I am not a world programmer, so this could probably be easier or different. Below the script I have written and used.
#!/usr/bin/python3 import re, csv, zlib import matplotlib.pyplot as plt import numpy as np #First get the data form the right port. 14.1022Mhz 300 Baud HF Packet port4 =  with open("MHSave.txt") as f: found_port4 = False for line in f: if line.startswith("Port:4"): found_port4 = True if found_port4: if line.startswith("Port:5"): break else: mod_string = line.replace('||', '') mod_strings = re.sub("via.*$", "", mod_string) port4.append(mod_strings.rstrip('\n')) with open('port4.txt', 'w') as fout: fout.writelines("\n".join(port4[1:])) #print("\n".join(port4)) # Convert it to a csv file with open('port4.txt', 'r') as in_file: lines = in_file.read().splitlines() stripped = [line.replace(","," ").split() for line in lines] grouped = zip(*[stripped]*1) with open('port4.csv', 'w') as out_file: writer = csv.writer(out_file) writer.writerow(('Epoch', 'Pack-rev', 'Call', 'Month', 'Day', 'Time')) for group in grouped: writer.writerows(group) # Matplotlib create a nice Plot of the received calls filename = 'port4.csv' with open(filename) as f: reader = csv.reader(f) header_row = next(reader) #Get Packets and Calls received packs, calls = ,  for row in reader: pack = int(row) call = str(row) packs.append(pack) calls.append(call) x = np.arange(len(calls)) fig, ax = plt.subplots() ax.barh(x, packs, align='center') ax.set_title("Call and Packets received on PI1LAP") ax.set_xlabel('Received Packets') ax.set_ylabel('Station Callsigns') ax.set_xticks(packs, minor=True) ax.set_yticks(x) ax.set_yticklabels(calls) plt.tight_layout() plt.show()