From 5b695174a66cf7a9e82c23831550114b022ded11 Mon Sep 17 00:00:00 2001
From: Tr1xt4n <tristan.minierpro@gmail.com>
Date: Tue, 4 Apr 2023 09:56:16 +0200
Subject: [PATCH] 4eme courbe

---
 plot/main.py | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)

diff --git a/plot/main.py b/plot/main.py
index 8d7118f..c70c541 100644
--- a/plot/main.py
+++ b/plot/main.py
@@ -45,6 +45,20 @@ def delay(arr: list[tuple[int, np.ndarray]]) -> np.ndarray:
         nb += 1
     return delays
 
+def rb_available_distance(arr: list[tuple[int, np.ndarray]], distance) -> np.ndarray:
+    available = np.zeros((size, 2))
+    nb = 0
+    for nb_users, data in arr:
+        n = 0
+        for x in data[:,6]:
+            if int(x) == distance:
+                n+=1
+
+        available[nb, 0] = nb_users
+        available[nb, 1] = n/ (200 * 10000) * 100
+        nb += 1
+    return available
+
 
 np_arr: list[tuple[int, np.ndarray]] = list()
 for i in nb_files:
@@ -52,6 +66,10 @@ for i in nb_files:
 
 averages = mean_mkn(np_arr)
 available = rb_available(np_arr)
+
+available_lp1 = rb_available_distance(np_arr, 200)
+available_lp2 = rb_available_distance(np_arr, 400)
+
 delays = delay(np_arr)
 delays.sort(axis=0)
 # Data for plotting
@@ -70,4 +88,10 @@ ax[1, 0].scatter(delays[:, 0], delays[:, 1])
 ax[1, 0].set(xlabel='number of users', ylabel='delays(ms)', title='Delay')
 ax[1, 0].grid()
 
+#ax[1, 1].scatter(available[:, 0], (available_lp1[:, 1]/available_lp2[:, 1])/available[:, 1] * 100)
+ax[1, 1].scatter(available[:, 0], available_lp1[:, 1])
+ax[1, 1].scatter(available[:, 0], available_lp2[:, 1])
+ax[1, 1].set(xlabel='number of users', ylabel='RB utilisés proche/loin/total', title='RB utilisés distance')
+ax[1, 1].grid()
+
 plt.show()
\ No newline at end of file