langspielplatte/measurement-scripts
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Adds compare between multiple folders

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This commit is contained in:
Lukas Prause
2023-02-28 15:54:30 +01:00
parent b95d5202d5
commit 50afb7e4e9
1 changed files with 15 additions and 11 deletions
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26
cdf_compare.py
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@@ -69,10 +69,8 @@ def plot_cdf(dataframe, column_name, axis=None):
if __name__ == "__main__":
parser = ArgumentParser()
parser.add_argument("--serial1", required=True, help="Serial csv file1.")
parser.add_argument("--serial2", required=True, help="Serial csv file2.")
parser.add_argument("--folder1", required=True, help="PCAP csv folder1.")
parser.add_argument("--folder2", required=True, help="PCAP csv folder2.")
parser.add_argument("-s", "--serials", required=True, help="Serial csv files. Comma separated.")
parser.add_argument("-f", "--folders", required=True, help="PCAP csv folders. Comma separated.")
parser.add_argument("--save", default=None, help="Location to save pdf file.")
parser.add_argument(
"-c",
@@ -92,7 +90,7 @@ if __name__ == "__main__":
args = parser.parse_args()
transmission_df_list = list()
for f in [args.folder1, args.folder2]:
for f in args.folders.split(","):
manager = multiprocessing.Manager()
n = manager.Value("i", 0)
frame_list = manager.list()
@@ -189,22 +187,28 @@ if __name__ == "__main__":
))
# Plot sRTT CDF
legend = list()
plot_cdf(transmission_df_list[0]["df"], "srtt")
plot_cdf(transmission_df_list[1]["df"], "srtt", axis=plt.gca())
for i in range(1, len(transmission_df_list)):
plot_cdf(transmission_df_list[i]["df"], "srtt", axis=plt.gca())
legend.append(transmission_df_list[i]["cc_algo"])
plt.xscale("log")
plt.xlabel("sRTT [s]")
plt.ylabel("CDF")
plt.legend([transmission_df_list[0]["cc_algo"], transmission_df_list[1]["cc_algo"]])
plt.title("{}".format(transmission_direction))
plt.legend(legend)
plt.title("{}".format(transmission_df_list[0]["transmission_direction"]))
plt.savefig("{}{}_cdf_compare_plot.pdf".format(args.save, "srtt"))
plt.clf()
# Plot goodput CDF
legend = list()
plot_cdf(transmission_df_list[0]["df"], "goodput")
plot_cdf(transmission_df_list[1]["df"], "goodput", axis=plt.gca())
for i in range(1, len(transmission_df_list)):
plot_cdf(transmission_df_list[i]["df"], "goodput", axis=plt.gca())
legend.append(transmission_df_list[i]["cc_algo"])
plt.xlabel("goodput [mbps]")
plt.ylabel("CDF")
plt.legend([transmission_df_list[0]["cc_algo"], transmission_df_list[1]["cc_algo"]])
plt.title("{}".format(transmission_direction))
plt.legend(legend)
plt.title("{}".format(transmission_df_list[0]["transmission_direction"]))
plt.savefig("{}{}_cdf_compare_plot.pdf".format(args.save, "goodput"))