2 import matplotlib.pyplot
as plt
9 with
open(
"output.log", mode=
"r") as csv_file:
10 csv_reader = csv.reader(csv_file, delimiter=",")
12 for csv_row
in csv_reader:
17 mode = float(csv_row[1])
19 exectime = float(csv_row[3])
38 plt.figure(figsize=(7, 5))
43 [i[0][0]
for i
in np.array(list(muDict.values()))],
45 label=
"$\chi^{2}$<15, $n_{source link} <=10$",
49 [i[1][0]
for i
in np.array(list(muDict.values()))],
51 label=
"$\chi^{2}$<10, $n_{source link}=1$",
53 ax.set_xlabel(
"$<\mu>$")
54 ax.set_ylabel(
"time/event [Sec]")
56 plt.legend(numpoints=1)
58 plt.suptitle(
"CKF timing vs. $<\mu>$")