# plot moving avg
def moving_average(interval, window_size):
window = np.ones (int (window_size)) / float (window_size)
return np.convolve (interval, window, 'same')
no_of_slices = 3
no_of_users_list = (10, 10, 10)
# region : Read simulation results
c_algo = 'mcqi'
parent_dir = 'baseline comparison data/variable_distance_02_req/'+c_algo
subfolders = [ f.path for f in os.scandir(parent_dir) if f.is_dir() ]
results_list = []
for tmp_dir in subfolders:
results_list.append(read_sim_data(tmp_dir, no_of_slices=3, no_of_users_list=no_of_users_list))
# endregion
# region : Plot rb distributions
rb_dist = pd.DataFrame()
for tmp_result in results_list:
rb_dist = pd.concat([rb_dist,tmp_result.controller.apply(pd.Series.value_counts)],axis=1)
rb_dist = rb_dist/25 * 100 # (/no of rb * 100)
c = np.nan_to_num(rb_dist.to_numpy())
c1=c.reshape (3, 10, 1000)
c2 = np.mean(c1,axis=2)
pyplot.plot(c2[0],'r--',label="x vs y1") #CONTAINS YOUR 3RD ROW
pyplot.plot(c2[1],'g--',label="x vs y2") #CONTAINS YOUR 4TH ROW
pyplot.plot(c2[2],'b--',label="x vs y3") #CONTAINS YOUR 5TH ROW
filename = parent_dir + "/rb_dist.png"
window = np.ones(int(window_size)) / float(window_size)
return np.convolve(interval, window, 'same')
no_of_slices = 3
no_of_users_list = (10, 10, 10)
# region : Read simulation results
parent_dir = "baseline comparison data/final_results/variable_requirement/req_inc"
subfolders = [f.path for f in os.scandir(parent_dir) if f.is_dir()]
results_list = []
for i in range(len(subfolders)):
tmp_dir = subfolders[i]
results_list.append(
read_sim_data(tmp_dir,
no_of_slices=3,
no_of_users_list=no_of_users_list))
# endregion
# region : reward,slice and score data
# # get data
# data_rewards = []
# data_slice_scores_rr = []
# data_slice_scores_mcqi = []
# data_slice_scores_pf = []
# for tmp_result in results_list:
# data_rewards.append(tmp_result.reward_arr)
# data_slice_scores_rr.append(tmp_result.slice_scores[0] )
# data_slice_scores_mcqi.append(tmp_result.slice_scores[1] )
# data_slice_scores_pf.append (tmp_result.slice_scores[2])
# # plot moving average: rewards
from matplotlib import pyplot
import pandas as pd
from matplotlib.patches import Polygon
from readsimdata import read_sim_data
no_of_slices = 3
no_of_users_per_slice = 10
# Read slice results for plotting comparison
parent_dir = "baseline comparison data/New folder (3)"
dir_MCQI = parent_dir + "/MCQI"
dir_PF = parent_dir + "/PF"
dir_RR = parent_dir + "/RR"
dir_RL = parent_dir + "/RL"
result_MCQI = read_sim_data(dir_MCQI, no_of_slices=3, no_of_users_per_slice=10)
result_PF = read_sim_data(dir_PF, no_of_slices=3, no_of_users_per_slice=10)
result_RR = read_sim_data(dir_RR, no_of_slices=3, no_of_users_per_slice=10)
result_RL = read_sim_data(dir_RL, no_of_slices=3, no_of_users_per_slice=10)
parent_dir = "baseline comparison data/New folder (3)"
subfolders = [f.path for f in os.scandir(parent_dir) if f.is_dir()]
results_list = []
for tmp_dir in subfolders:
results_list.append(
read_sim_data(tmp_dir, no_of_slices=3, no_of_users_per_slice=10))
result_MCQI = results_list[0]
result_PF = results_list[1]
result_RR = results_list[2]
result_RL = results_list[3]