Added median rsrp and rsrq functions, removed unused functions
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1fc33eb6f4
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ff16bd3a20
219
plots.py
219
plots.py
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@ -62,6 +62,65 @@ def plot_rsrp(filename):
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plt.show()
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def plot_median_rsrp(filename):
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# Load the JSON file
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with open(filename, "r") as file:
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data = json.load(file)
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# Extract distance and RSRP values (convert RSRP values to integers)
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distances = []
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rsrps = []
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for entry in data:
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try:
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int(float(entry["distance"]))
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antennas = []
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antennas.append(
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-169
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if int(entry["RSRP PRX"].strip()) == -32768
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else int(entry.get("RSRP PRX", -169))
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)
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antennas.append(
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-169
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if int(entry["RSRP DRX"].strip()) == -32768
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else int(entry.get("RSRP DRX", -169))
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)
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antennas.append(
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-169
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if int(entry["RSRP RX2"].strip()) == -32768
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else int(entry.get("RSRP RX2", -169))
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)
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antennas.append(
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-169
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if int(entry["RSRP RX3"].strip()) == -32768
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else int(entry.get("RSRP RX3", -169))
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)
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antennas.remove(max(antennas))
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antennas.remove(min(antennas))
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if min(antennas) == -169 and max(antennas) != -169:
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avg_rsrp = max(antennas)
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else:
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avg_rsrp = sum(antennas)/len(antennas)
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rsrps.append(avg_rsrp)
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distances.append(int(float(entry["distance"])))
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except (ValueError, KeyError):
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continue
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# Plot the data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, rsrps, label="RSRP PRX", marker="o", color="blue",)
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plt.title("RSRP vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("RSRP (dBm)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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def plot_rsrq(filename):
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# Load the JSON file
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with open(filename, "r") as file:
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@ -119,107 +178,57 @@ def plot_rsrq(filename):
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plt.show()
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def plot_iperf(filename):
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def plot_median_rsrq(filename):
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# Load the JSON file
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with open(filename, "r") as file:
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data = json.load(file)
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# Extract distance and RSRQ values (convert RSRQ values to integers)
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distances = []
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sender = []
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receiver = []
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rsrqs = []
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for entry in data:
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try:
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message = entry["iperf_full"]
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bitrates = re.findall(r"(\d+\.\d+) Mbits/sec", message)
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sender.append(float(bitrates[-2]))
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receiver.append(float(bitrates[-1]))
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distances.append(entry["start_distance"])
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antennas = []
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int(float(entry["distance"]))
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antennas.append(
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-20
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if int(entry["RSRQ PRX"].strip()) == -32768
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else int(entry.get("RSRQ PRX", -20))
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)
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antennas.append(
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-20
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if int(entry["RSRQ DRX"].strip()) == -32768
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else int(entry.get("RSRQ DRX", -20))
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)
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antennas.append(
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-20
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if int(entry["RSRQ RX2"].strip()) == -32768
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else int(entry.get("RSRQ RX2", -20))
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)
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antennas.append(
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-20
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if int(entry["RSRQ RX3"].strip()) == -32768
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else int(entry.get("RSRQ RX3", -20))
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)
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antennas.remove(max(antennas))
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antennas.remove(min(antennas))
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if min(antennas) == -169 and max(antennas) != -20:
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avg_rsrq = max(antennas)
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else:
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avg_rsrq = sum(antennas)/len(antennas)
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rsrqs.append(avg_rsrq)
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distances.append(int(float(entry["distance"])))
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except (ValueError, KeyError):
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continue
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# Plot the data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, sender, label="Avg Sender Bitrate", marker="o")
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plt.plot(distances, receiver, label="Avg Receiver Bitrate", marker="s")
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plt.plot(distances, rsrqs, label="RSRQ PRX", marker="o", color="blue")
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plt.title("IPERF vs Distance")
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plt.title("RSRQ vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("Bitrate (Mbits/s)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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def plot_bytes(filename):
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# Load the JSON file
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with open(filename, "r") as file:
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data = json.load(file)
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distances = []
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uplink = []
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downlink = []
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for entry in data:
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try:
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if (
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int(entry["uplink (bytes/s)"].strip()) < 1000000
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and int(entry["downlink (bytes/s)"].strip()) < 1000000
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):
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distances.append(entry["distance"])
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uplink.append(int(entry["uplink (bytes/s)"].strip()))
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downlink.append(int(entry["downlink (bytes/s)"].strip()))
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except (ValueError, KeyError):
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continue
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# Plot the data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, downlink, label="Downlink Bitrate", marker="o")
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plt.plot(distances, uplink, label="Uplink Bitrate", marker="s")
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plt.title("Bitrate vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("Bitrate (bytes/s)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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def plot_manual():
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distances = [0, 100, 200, 300, 400, 500, 600, 700, 800]
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rsrps = [-56, -82, -90, -93, -100, -105, -105, -116, -150]
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sender = [0, 6.06, 6.95, 6.37, 6.96, 8.04, 7.30, 0, 0]
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receiver = [0, 5.20, 6.10, 5.24, 6.08, 6.84, 6.37, 0, 0]
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# Plot the RSRP data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, rsrps, label="RSRP", marker="o")
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plt.title("RSRP vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("RSRP (dBm)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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# Plot the iperf data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, sender, label="Avg Sender Bitrate", marker="o")
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plt.plot(distances, receiver, label="Avg Receiver Bitrate", marker="s")
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plt.title("IPERF vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("Bitrate (Mbits/s)")
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plt.ylabel("RSRQ (dBm)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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@ -241,35 +250,37 @@ def plot_double_iperf(filename):
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reverse_receiver = []
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for entry in data:
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if "iperf_full" in entry:
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if "iperf_full" in entry and entry["start_distance"] != "Unknown":
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if "Reverse mode" in entry["iperf_full"]:
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try:
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reverse_sender.append(float(entry["sender_bitrate"]))
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reverse_receiver.append(float(entry["receiver_bitrate"]))
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reverse_distances.append(entry["start_distance"])
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reverse_distances.append(int(float(entry["start_distance"])))
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except:
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message = entry["iperf_full"]
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bitrates = re.findall(r"(\d+\.\d+) Mbits/sec", message)
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reverse_sender.append(float(bitrates[-2]))
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reverse_receiver.append(float(bitrates[-1]))
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reverse_distances.append(entry["start_distance"])
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reverse_distances.append(int(float(entry["start_distance"])))
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else:
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try:
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sender.append(float(entry["sender_bitrate"]))
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receiver.append(float(entry["receiver_bitrate"]))
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distances.append(entry["start_distance"])
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distances.append(int(float(entry["start_distance"])))
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except:
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message = entry["iperf_full"]
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bitrates = re.findall(r"(\d+\.\d+) Mbits/sec", message)
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sender.append(float(bitrates[-2]))
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receiver.append(float(bitrates[-1]))
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distances.append(entry["start_distance"])
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distances.append(int(float(entry["start_distance"])))
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# Plot the data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, sender, label="Avg Uplink Sender Bitrate", marker="o", color="red")
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plt.plot(
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distances, sender, label="Avg Uplink Sender Bitrate", marker="o", color="red"
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)
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plt.plot(
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distances,
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receiver,
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@ -304,8 +315,26 @@ def plot_double_iperf(filename):
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if __name__ == "__main__":
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filename = '/home/madrigal/repos/range-testing/data/boat_relay_sept_17/test_1758127491_copy.json'
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filename = "/home/madrigal/repos/range-testing/data/boat_relay_sept_18/test_1758215714_copy.json"
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# plot_double_iperf(filename=filename)
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plot_rsrp(filename=filename)
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plot_rsrq(filename=filename)
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# plot_rsrp(filename=filename)
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# plot_rsrq(filename=filename)
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plot_median_rsrp(filename=filename)
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plot_median_rsrq(filename=filename)
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filename = "/home/madrigal/repos/range-testing/data/boat_relay_sept_18/test_1758217711_copy.json"
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# plot_double_iperf(filename=filename)
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# plot_rsrp(filename=filename)
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# plot_rsrq(filename=filename)
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plot_median_rsrp(filename=filename)
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plot_median_rsrq(filename=filename)
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filename = "/home/madrigal/repos/range-testing/data/boat_relay_sept_18/test_1758219350_copy.json"
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# plot_double_iperf(filename=filename)
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# plot_rsrp(filename=filename)
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# plot_rsrq(filename=filename)
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plot_median_rsrp(filename=filename)
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plot_median_rsrq(filename=filename)
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