init

docu/experiments/results/plot.py

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+from experiments.utils import plot_elapsed_times
+import csv
+
+import csv
+
+labels = []
+elapsed_times = []
+
+def read_csv_add_data(filename, labels, elapsed_times):
+    with open(filename, newline='') as csvfile:
+        reader = csv.reader(csvfile)
+        next(reader)  # skip header
+        times = []
+        current_label = None
+        for row in reader:
+            sim_thresh = float(row[0])
+            label = row[4]
+            elapsed = float(row[5])
+
+            if sim_thresh == 0.5:
+                if current_label != label:
+                    # New label group started
+                    if times:
+                        # Save times of previous label if not empty
+                        elapsed_times.append(times)
+                    times = [elapsed]
+                    current_label = label
+                else:
+                    times.append(elapsed)
+
+                # When 4 times collected, append and reset
+                if len(times) == 4:
+                    elapsed_times.append(times)
+                    times = []
+                    current_label = None
+
+            if label not in labels:
+                labels.append(label)
+
+        # In case last label times were not appended
+        if times:
+            elapsed_times.append(times)
+
+# Read first CSV
+read_csv_add_data('inclusion_dependency/raw_matching_experiment_results.csv', labels, elapsed_times)
+
+# Read second CSV
+read_csv_add_data('inclusion_dependency/inclusion_dependency_filter_experiment_results.csv', labels, elapsed_times)
+
+print("Labels:", labels)
+print("Elapsed Times:", elapsed_times)
+
+# Then plot
+file_name_prefix = "inclusion_dependency_filter_combined_raw"
+folder_path = ""
+
+_ = plot_elapsed_times(
+    related_thresholds=[0.7, 0.75, 0.8, 0.85],
+    elapsed_times_list=elapsed_times,
+    fig_text=f"{file_name_prefix} (α = 0.5)",
+    legend_labels=labels,
+    file_name=f"{folder_path}{file_name_prefix}_experiment_α=0.5.png"
+)
+