4eme courbe

This commit is contained in:
Tr1xt4n 2023-04-04 09:56:16 +02:00
parent 83e4ccdd22
commit 5b695174a6

View File

@ -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()