diff --git a/plot/main.py b/plot/main.py
index e4c3667..78b972f 100644
--- a/plot/main.py
+++ b/plot/main.py
@@ -3,7 +3,7 @@ import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
 
-nb_files = os.listdir(".." + os.sep + "export")
+nb_files = os.listdir("PF")
 
 size = len(nb_files)
 
@@ -29,7 +29,7 @@ def rb_available(arr: list[tuple[int, np.ndarray]]) -> np.ndarray:
     nb = 0
     for nb_users, data in arr:
         available[nb, 0] = nb_users
-        available[nb, 1] = (data.shape[0] / (200 * 10000)) * 100
+        available[nb, 1] = (data.shape[0] / (200 * 20000)) * 100
         nb += 1
     return available
 
@@ -64,12 +64,12 @@ def rb_allocate_distance(arr: list[tuple[int, np.ndarray]], distance) -> np.ndar
 
 np_arr: list[tuple[int, np.ndarray]] = list()
 for i in nb_files:
-    np_arr.append((int(i.split(".")[0]), pd.read_csv(".." + os.sep + "export" + os.sep + i, delimiter=';').to_numpy()))
+    np_arr.append((int(i.split(".")[0]), pd.read_csv("PF" + os.sep + i, delimiter=';').to_numpy()))
 
 averages = mean_mkn(np_arr)
 available = rb_available(np_arr)
 
-allocate_lp1 = rb_allocate_distance(np_arr, 150)
+allocate_lp1 = rb_allocate_distance(np_arr, 100)
 allocate_lp2 = rb_allocate_distance(np_arr, 500)
 allocate_total = allocate_lp1[:, 1] + allocate_lp2[:, 1]
 
@@ -83,31 +83,34 @@ del np_arr
 
 fig, ax = plt.subplots(2, 2)
 ax[0, 0].plot(averages[:, 0], averages[:, 1], marker="o")
-ax[0, 0].set(xlabel='number of users', ylabel='Efficacité spectrale', title='Efficacité spectrale')
+ax[0, 0].set(xlabel='number of users', ylabel='% Spectral efficiency', title='Spectral efficiency PF')
 ax[0, 0].grid()
-ax[0, 0].set_ylim([24, 32])
+ax[0, 0].set_ylim([0, 40])
 
 ax[0, 1].plot(available[:, 0], available[:, 1], marker="o")
-ax[0, 1].set(xlabel='number of users', ylabel='RB utilisés', title='Pourcentage de RB utilisés')
+ax[0, 1].set(xlabel='number of users', ylabel=' % RB used', title='Percentage of RB used PF')
 ax[0, 1].grid()
-ax[0, 1].set_ylim([0, 205])
+ax[0, 1].set_ylim([0, 105])
 
 ax[1, 0].plot(delays[:, 0], delays[:, 1], marker="o")
-ax[1, 0].set(xlabel='number of users', ylabel='delays(ms)', title='Delay')
+ax[1, 0].set(xlabel='number of users', ylabel='delay(ms)', title='Delay PF')
 ax[1, 0].grid()
 
 available.sort(axis=0)
 
 #ax[1, 1].scatter(allocate_lp1[:, 0], (allocate_lp1[:, 1]/(allocate_lp1[:, 1])+allocate_lp2[:, 1])*100)
 
-ax[1, 1].plot(available[:, 0], (allocate_lp1[:, 1]/(allocate_lp1[:, 1]+allocate_lp2[:, 1])*100))
+ax[1, 1].plot(available[:, 0], (allocate_lp1[:, 1]/(allocate_lp1[:, 1]+allocate_lp2[:, 1])*100), label="100 meters group")
 
 #ax[1, 1].scatter(allocate_lp2[:, 0], (allocate_lp2[:, 1]/(allocate_lp1[:, 1])+allocate_lp2[:, 1])*100)
 
-ax[1, 1].plot(available[:, 0], (allocate_lp2[:, 1]/(allocate_lp1[:, 1]+allocate_lp2[:, 1])*100))
+#ax[1, 1].plot(available[:, 0], available[:, 1], marker="o", label="RB used")
 
-ax[1, 1].set(xlabel='number of users', ylabel='RB utilisés proche/loin/total', title='RB utilisés distance')
+ax[1, 1].plot(available[:, 0], (allocate_lp2[:, 1]/(allocate_lp1[:, 1]+allocate_lp2[:, 1])*100), label="500 meters group")
+
+ax[1, 1].set(xlabel='number of users', ylabel='% RB used', title='RB used depending on the distance PF')
 ax[1, 1].grid()
-ax[1, 1].set_ylim([0, 100])
+ax[1, 1].set_ylim([0, 105])
+ax[1, 1].legend(loc="upper left")
 
-plt.show()
\ No newline at end of file
+plt.show()