Fix

openairinterface5g/carlos_mestrado/medicoes/script_plot_mestrado.py

+import pandas as pd
+import matplotlib.pyplot as plt
+import os 
+import numpy as np
+# Leitura do arquivo
+
+main_folder = "./"
+
+scenarios = [name for name in os.listdir(main_folder) if os.path.isdir(os.path.join(main_folder, name))]
+
+print(scenarios)
+
+ue_dataframes = {}
+
+for scenario in scenarios:
+    ue_dataframes[scenario] = {}
+    scenario_path = main_folder + scenario
+    ues = [name for name in os.listdir(scenario_path) if os.path.isdir(os.path.join(scenario_path, name))]
+    for ue in ues: 
+        data = []
+
+        # Caminho de cada usuário
+
+        ue_path = scenario_path + '/' + ue + '/' + 'job_1.txt'
+        
+        print(ue_path)
+        # Organização do dataframe
+
+        with open(ue_path, 'r') as file:
+            count = 0
+            data.append({
+                            "Interval": 0,
+                            "Transfer": 0,
+                            "Bandwidth": 0,
+                            "Jitter": 0,
+                            "Lost/Total Datagrams": 0
+                        })
+            for line in file:
+                if "[  3]" in line and "sec" in line and "MBytes" in line:
+                    parts = line.split()
+                    count += 1
+                    if count < 10: 
+                        data.append({
+                            "Interval": count,
+                            "Transfer": parts[5],
+                            "Bandwidth": float(parts[7]),
+                            "Jitter": parts[9] if len(parts) > 6 else None,
+                            "Lost/Total Datagrams": parts[-2] if '/' in parts [-2] else parts[-3] + parts[-2]
+                        })
+                    elif count <= 60:
+                        data.append({
+                            "Interval": count,
+                            "Transfer": parts[4],
+                            "Bandwidth": float(parts[6]),
+                            "Jitter": parts[8] if len(parts) > 6 else None,
+                            "Lost/Total Datagrams": parts[-2] if '/' in parts [-2] else parts[-3] + parts[-2]
+                        })
+                    else:
+                        break
+        # Criação do DataFrame
+        ue_dataframes[scenario][ue] = pd.DataFrame(data)
+
+print(ue_dataframes['no_slicing']['ue2']["Bandwidth"])
+for scenario in scenarios:
+    plt.plot(ue_dataframes[scenario]['ue2']["Interval"], ue_dataframes[scenario]['ue2']["Bandwidth"], marker="o", label="Bandwidth", color = "blue")
+    plt.plot(ue_dataframes[scenario]['ue1']["Interval"], ue_dataframes[scenario]['ue1']["Bandwidth"], marker="o", label="Bandwidth", color = "red")
+    y_ticks = np.arange(0, max(ue_dataframes[scenario]['ue2']["Bandwidth"].max(),
+                               ue_dataframes[scenario]['ue1']["Bandwidth"].max()) + 10, 2)  # Intervalo de 2 Mbps
+    plt.yticks(y_ticks)  # Define os valores do eixo Y com intervalos mais detalhados  
+    plt.title(scenario)
+    plt.xlabel("Time (s)")
+    plt.ylabel("Bandwidth (Mbps)")
+    plt.grid(True)
+    plt.legend()
+    plt.tight_layout()
+
+    #Exibe o gráfico
+
+    plt.show()
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