1 files changed, 62 insertions, 0 deletions
diff --git a/results/src/experiment3/plots.py b/results/src/experiment3/plots.py
new file mode 100644
index 00000000..6dcf48f6
--- /dev/null
+++ b/results/src/experiment3/plots.py
@@ -0,0 +1,62 @@
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib.pyplot import figure
+import time
+from time import strftime, gmtime
+
+
+def get_name() -> str:
+
+    curr = time.time()
+    s = strftime("%d_%b_%Y_%H%M%S", gmtime(curr))
+    return s
+
+
+width = 0.4
+
+
+kernels = ["Gmail", "WhatsApp", "Youtube", "Twitter", "Facebook"]
+
+x = np.arange(5)
+values = (8.13, 4.15, 10.06, 16.75, 18.84)
+
+print(values)
+
+# Standard deviations (error values)
+# errors = [np.std(poly), np.std(rbf), np.std(sigmoid)]
+# errors2 = [np.std(baseline_poly), np.std(baseline_rbf), np.std(baseline_sigmoid)]
+# print(errors)
+# print(errors2)
+
+# Create bar chart with error bars
+fig, ax = plt.subplots()
+# plt.bar(x-0.22, values, width, yerr=errors, capsize=8, color='moccasin', edgecolor='black', label='Sunfish')
+# plt.bar(x+0.22,values2, width, yerr=errors2, capsize=8, color='slategrey', edgecolor='black', label='OpenDC')
+
+
+plt.bar(
+    x,
+    values,
+    width,
+    capsize=8,
+    color="thistle",
+    edgecolor="black",
+    label="Red + Yellow Alarms / Total Failures",
+)
+
+# Add labels and title
+plt.xlabel("Mean Failure Intensity (Trace)", fontweight="bold", size=10)
+plt.ylabel("Failures Detection Rate", fontweight="bold", size=10)
+loc = range(len(kernels))
+labels = kernels
+plt.xticks(loc, kernels, size=10)
+plt.grid(True, color="lightgray", linewidth=1, linestyle="-.")
+
+
+plt.legend(fontsize=10, loc="upper left")
+plt.yticks(size=10)
+# ax.set_yscale("log")
+
+# Show plot
+location: str = "figures/%s.pdf" % get_name()
+plt.savefig(location, dpi=300, bbox_inches="tight")