plot_delay/plot_delay.py · ericps/server

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server

plot_delay

plot_delay.py

plot_delay.py 5.88 KB

import json
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

def plot_delay(json_list):
 average_interval = np.zeros(2)
 # 读取第一个json
 json_tmp_1 = json_list[0]
 with open('./' + json_tmp_1, 'r') as load_file:
 http_json_1 = json.load(load_file)
 json_len_1 = len(http_json_1)
 count = np.zeros(6)
 quality_0 = []
 quality_1 = []
 quality_2 = []
 quality_3 = []
 quality_4 = []
 quality_5 = []

interval_0 = []
 interval_1 = []
 interval_2 = []
 interval_3 = []
 interval_4 = []
 interval_5 = []

for i in range(json_len_1 - 2):
 face = http_json_1[i]['url'].split('/')[4].strip('face')
 average_interval[0] += http_json_1[i]["interval"]
 if face == '0':
 quality_0.append(http_json_1[i]["_quality"])
 interval_0.append(http_json_1[i]["interval"])
 elif face == '1':
 quality_1.append(http_json_1[i]["_quality"])
 interval_1.append(http_json_1[i]["interval"])
 elif face == '2':
 quality_2.append(http_json_1[i]["_quality"])
 interval_2.append(http_json_1[i]["interval"])
 elif face == '3':
 quality_3.append(http_json_1[i]["_quality"])
 interval_3.append(http_json_1[i]["interval"])
 elif face == '4':
 quality_4.append(http_json_1[i]["_quality"])
 interval_4.append(http_json_1[i]["interval"])
 elif face == '5':
 quality_5.append(http_json_1[i]["_quality"])
 interval_5.append(http_json_1[i]["interval"])
 count[int(face)] += 1

# 读取第二个json
 with open('./' + json_list[1], 'r') as load_file:
 http_json_2 = json.load(load_file)
 json_len_2 = len(http_json_2)
 count2 = np.zeros(6)
 quality_NoABR_0 = []
 quality_NoABR_1 = []
 quality_NoABR_2 = []
 quality_NoABR_3 = []
 quality_NoABR_4 = []
 quality_NoABR_5 = []

interval_NoABR_0 = []
 interval_NoABR_1 = []
 interval_NoABR_2 = []
 interval_NoABR_3 = []
 interval_NoABR_4 = []
 interval_NoABR_5 = []

for i in range(json_len_2 - 2):
 face = http_json_2[i]['url'].split('/')[4].strip('face')
 average_interval[1] += http_json_2[i]["interval"]
 if face == '0':
 quality_NoABR_0.append(http_json_2[i]["_quality"])
 interval_NoABR_0.append(http_json_2[i]["interval"])
 elif face == '1':
 quality_NoABR_1.append(http_json_2[i]["_quality"])
 interval_NoABR_1.append(http_json_2[i]["interval"])
 elif face == '2':
 quality_NoABR_2.append(http_json_2[i]["_quality"])
 interval_NoABR_2.append(http_json_2[i]["interval"])
 elif face == '3':
 quality_NoABR_3.append(http_json_2[i]["_quality"])
 interval_NoABR_3.append(http_json_2[i]["interval"])
 elif face == '4':
 quality_NoABR_4.append(http_json_2[i]["_quality"])
 interval_NoABR_4.append(http_json_2[i]["interval"])
 elif face == '5':
 quality_NoABR_5.append(http_json_2[i]["_quality"])
 interval_NoABR_5.append(http_json_2[i]["interval"])
 count2[int(face)] += 1

# plt.figure()
 # fig1, ax1 = plt.subplots(figsize=(8, 6))
 # ax1.plot(range(int(count[0])), quality_0, label='face_0')
 # ax1.plot(range(int(count[1])), quality_1, label='face_1')
 # ax1.plot(range(int(count[2])), quality_2, label='face_2')
 # ax1.plot(range(int(count[3])), quality_3, label='face_3')
 # ax1.plot(range(int(count[4])), quality_4, label='face_4')
 # ax1.plot(range(int(count[5])), quality_5, label='face_5')
 # ax1.set_xlabel('Request count')
 # ax1.set_ylabel('Quality')
 # # ax1.axis([-(json_len_1 - 2) * 0.05, (json_len_1 - 2) * 1.05, -0.1, np.max(quality_1)*1.1])
 # ax1.spines["top"].set_color("none")
 # ax1.spines["right"].set_color("none")
 # fig1.legend()
 # fig1.show()
 average_interval[0] /= np.sum(count)
 average_interval[1] /= np.sum(count2)

fig1, ax1 = plt.subplots(figsize=(8, 6))
 ax1.plot(range(int(count[0])), interval_0, label='face_0')
 ax1.plot(range(int(count[1])), interval_1, label='face_1')
 ax1.plot(range(int(count[2])), interval_2, label='face_2')
 ax1.plot(range(int(count[3])), interval_3, label='face_3')
 ax1.plot(range(int(count[4])), interval_4, label='face_4')
 ax1.plot(range(int(count[5])), interval_5, label='face_5')
 ax1.set_xlabel('Request count', fontsize=12)
 ax1.set_ylabel('Delay without ABR ', fontsize=12)
 ax1.set_title('Average Delay = ' + "{:.2f}".format(average_interval[0]) + 'ms', fontsize=15)
 # ax1.axis([-(json_len_1 - 2) * 0.05, (json_len_1 - 2) * 1.05, -0.1, np.max(quality_1)*1.1])
 ax1.spines["top"].set_color("none")
 ax1.spines["right"].set_color("none")
 fig1.legend()
 fig1.savefig('./delay_with_ABR.png')
 
 # plt.figure()
 fig2, ax2 = plt.subplots(figsize=(8, 6))
 ax2.plot(range(int(count2[0])), interval_NoABR_0, label='face_0')
 ax2.plot(range(int(count2[1])), interval_NoABR_1, label='face_1')
 ax2.plot(range(int(count2[2])), interval_NoABR_2, label='face_2')
 ax2.plot(range(int(count2[3])), interval_NoABR_3, label='face_3')
 ax2.plot(range(int(count2[4])), interval_NoABR_4, label='face_4')
 ax2.plot(range(int(count2[5])), interval_NoABR_5, label='face_5')
 ax2.set_xlabel('Request count', fontsize=12)
 ax2.set_ylabel('Delay with ABR', fontsize=12)
 ax2.set_title('Average Delay = ' + "{:.2f}".format(average_interval[1]) + 'ms', fontsize=15)
 # ax2.axis([-(json_len_1 - 2) * 0.05, (json_len_1 - 2) * 1.05, -0.1, np.max(quality_1)*1.1])
 ax2.spines["top"].set_color("none")
 ax2.spines["right"].set_color("none")
 fig2.legend()
 fig2.savefig('./delay_without_ABR.png')

fig3, ax3 = plt.subplots(figsize=(3, 4))
 ax3.plot()

if __name__ == '__main__':
 json_list = ['BOLA_httpRequest.json', 'Second_httpRequest.json']
 plot_delay(json_list)

一键复制编辑原始数据按行查看历史

ericps 提交于 2022年01月20日 11:21 +08:00 . rename to "plot_delay" and move

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import json
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt


def plot_delay(json_list):
 average_interval = np.zeros(2)
 # 读取第一个json
 json_tmp_1 = json_list[0]
 with open('./' + json_tmp_1, 'r') as load_file:
 http_json_1 = json.load(load_file)
 json_len_1 = len(http_json_1)
 count = np.zeros(6)
 quality_0 = []
 quality_1 = []
 quality_2 = []
 quality_3 = []
 quality_4 = []
 quality_5 = []

 interval_0 = []
 interval_1 = []
 interval_2 = []
 interval_3 = []
 interval_4 = []
 interval_5 = []

 for i in range(json_len_1 - 2):
 face = http_json_1[i]['url'].split('/')[4].strip('face')
 average_interval[0] += http_json_1[i]["interval"]
 if face == '0':
 quality_0.append(http_json_1[i]["_quality"])
 interval_0.append(http_json_1[i]["interval"])
 elif face == '1':
 quality_1.append(http_json_1[i]["_quality"])
 interval_1.append(http_json_1[i]["interval"])
 elif face == '2':
 quality_2.append(http_json_1[i]["_quality"])
 interval_2.append(http_json_1[i]["interval"])
 elif face == '3':
 quality_3.append(http_json_1[i]["_quality"])
 interval_3.append(http_json_1[i]["interval"])
 elif face == '4':
 quality_4.append(http_json_1[i]["_quality"])
 interval_4.append(http_json_1[i]["interval"])
 elif face == '5':
 quality_5.append(http_json_1[i]["_quality"])
 interval_5.append(http_json_1[i]["interval"])
 count[int(face)] += 1

 # 读取第二个json
 with open('./' + json_list[1], 'r') as load_file:
 http_json_2 = json.load(load_file)
 json_len_2 = len(http_json_2)
 count2 = np.zeros(6)
 quality_NoABR_0 = []
 quality_NoABR_1 = []
 quality_NoABR_2 = []
 quality_NoABR_3 = []
 quality_NoABR_4 = []
 quality_NoABR_5 = []

 interval_NoABR_0 = []
 interval_NoABR_1 = []
 interval_NoABR_2 = []
 interval_NoABR_3 = []
 interval_NoABR_4 = []
 interval_NoABR_5 = []

 for i in range(json_len_2 - 2):
 face = http_json_2[i]['url'].split('/')[4].strip('face')
 average_interval[1] += http_json_2[i]["interval"]
 if face == '0':
 quality_NoABR_0.append(http_json_2[i]["_quality"])
 interval_NoABR_0.append(http_json_2[i]["interval"])
 elif face == '1':
 quality_NoABR_1.append(http_json_2[i]["_quality"])
 interval_NoABR_1.append(http_json_2[i]["interval"])
 elif face == '2':
 quality_NoABR_2.append(http_json_2[i]["_quality"])
 interval_NoABR_2.append(http_json_2[i]["interval"])
 elif face == '3':
 quality_NoABR_3.append(http_json_2[i]["_quality"])
 interval_NoABR_3.append(http_json_2[i]["interval"])
 elif face == '4':
 quality_NoABR_4.append(http_json_2[i]["_quality"])
 interval_NoABR_4.append(http_json_2[i]["interval"])
 elif face == '5':
 quality_NoABR_5.append(http_json_2[i]["_quality"])
 interval_NoABR_5.append(http_json_2[i]["interval"])
 count2[int(face)] += 1

 # plt.figure()
 # fig1, ax1 = plt.subplots(figsize=(8, 6))
 # ax1.plot(range(int(count[0])), quality_0, label='face_0')
 # ax1.plot(range(int(count[1])), quality_1, label='face_1')
 # ax1.plot(range(int(count[2])), quality_2, label='face_2')
 # ax1.plot(range(int(count[3])), quality_3, label='face_3')
 # ax1.plot(range(int(count[4])), quality_4, label='face_4')
 # ax1.plot(range(int(count[5])), quality_5, label='face_5')
 # ax1.set_xlabel('Request count')
 # ax1.set_ylabel('Quality')
 # # ax1.axis([-(json_len_1 - 2) * 0.05, (json_len_1 - 2) * 1.05, -0.1, np.max(quality_1)*1.1])
 # ax1.spines["top"].set_color("none")
 # ax1.spines["right"].set_color("none")
 # fig1.legend()
 # fig1.show()
 average_interval[0] /= np.sum(count)
 average_interval[1] /= np.sum(count2)

 fig1, ax1 = plt.subplots(figsize=(8, 6))
 ax1.plot(range(int(count[0])), interval_0, label='face_0')
 ax1.plot(range(int(count[1])), interval_1, label='face_1')
 ax1.plot(range(int(count[2])), interval_2, label='face_2')
 ax1.plot(range(int(count[3])), interval_3, label='face_3')
 ax1.plot(range(int(count[4])), interval_4, label='face_4')
 ax1.plot(range(int(count[5])), interval_5, label='face_5')
 ax1.set_xlabel('Request count', fontsize=12)
 ax1.set_ylabel('Delay without ABR ', fontsize=12)
 ax1.set_title('Average Delay = ' + "{:.2f}".format(average_interval[0]) + 'ms', fontsize=15)
 # ax1.axis([-(json_len_1 - 2) * 0.05, (json_len_1 - 2) * 1.05, -0.1, np.max(quality_1)*1.1])
 ax1.spines["top"].set_color("none")
 ax1.spines["right"].set_color("none")
 fig1.legend()
 fig1.savefig('./delay_with_ABR.png')
 
 # plt.figure()
 fig2, ax2 = plt.subplots(figsize=(8, 6))
 ax2.plot(range(int(count2[0])), interval_NoABR_0, label='face_0')
 ax2.plot(range(int(count2[1])), interval_NoABR_1, label='face_1')
 ax2.plot(range(int(count2[2])), interval_NoABR_2, label='face_2')
 ax2.plot(range(int(count2[3])), interval_NoABR_3, label='face_3')
 ax2.plot(range(int(count2[4])), interval_NoABR_4, label='face_4')
 ax2.plot(range(int(count2[5])), interval_NoABR_5, label='face_5')
 ax2.set_xlabel('Request count', fontsize=12)
 ax2.set_ylabel('Delay with ABR', fontsize=12)
 ax2.set_title('Average Delay = ' + "{:.2f}".format(average_interval[1]) + 'ms', fontsize=15)
 # ax2.axis([-(json_len_1 - 2) * 0.05, (json_len_1 - 2) * 1.05, -0.1, np.max(quality_1)*1.1])
 ax2.spines["top"].set_color("none")
 ax2.spines["right"].set_color("none")
 fig2.legend()
 fig2.savefig('./delay_without_ABR.png')

 fig3, ax3 = plt.subplots(figsize=(3, 4))
 ax3.plot()


if __name__ == '__main__':
 json_list = ['BOLA_httpRequest.json', 'Second_httpRequest.json']
 plot_delay(json_list)