feat: removed the generated output and the python scripts to plot the results

1 files changed, 0 insertions, 62 deletions

diff --git a/results/src/experiment3/plots.py b/results/src/experiment3/plots.py
deleted file mode 100644
index 6dcf48f6..00000000
--- a/results/src/experiment3/plots.py
+++ /dev/null
@@ -1,62 +0,0 @@
-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")