Python 对大量数据进行分析统计 项目实战
摘要：
随着互联网技术的发展，人们的日常生活已经离不开大数据。未来社会人们的生活和工作将越来越依赖于数字技术的发展，越来越数字化、网络化、数据可使化、服务虚拟化。大数据的发展历程以及目前的应用状况和发展趋势，可以充分地相信数据分析将极大的改变我们的生活和工作方式，甚至社会的价值观也会发生某种变化。
本设计尝试用Python对世界气象组织的海洋观测数据进行处理，以便世界气象组织志愿观测船计划顺利实施。本文从理论和实践两个角度出发，对一段数据进行处理与可视化分析。论文首先较为详尽地介绍了Python对大数据处理与数据可视化的有关概念与技术，特别深入介绍了在本设计中运用到的知识，如：数据分割、产生随机数、函数的调用等；接着对数据的可行性进行了分析，对设计的设计思想、设计目标与系统的整体结构进行了明确的规划。
本设计是在Python3.7 平台上来实现的,用到的插件有matplotlib、pandas等。其中matplotlib用来进行绘制二维折线图和柱状图，pandas用来对大量数据进行存储和排序等操作。
关键词：Python，大数据，数据可视化
一、课程设计的目的与要求
通过该课程设计的实践训练，进一步掌握Python的语法和编程技术，提高项目设计的实际能力，培养工程设计能力和综合分析、解决问题的能力。
具体如下：
- 学习和实践在分析和设计程序所需要的知识,包括面向对象的数据分析与设计,编码和测试方面的知识；
- 熟悉较为新颖的数据可视化工具matplotlib，并将其运用于课程设计的全过程；
- 进一步加强和提高Python项目工程文档的编写能力；
- 培养协作能力和团队精神。
二、设计正文
1． 概述
1.1课题题目：Python数据处理
1.2设计的主要目标：
本设计目标是实现课程题目中所要求的各种功能，能够很好的实现对数据的可视化，直观明了的把大量数据呈现在眼前，还可以实现对所需数据的保存和管理，对出现异常的数据进行常规的处理等功能。
1.3 系统的开发环境及运行环境：
操作系统： Windows 10
开发工具： Python 3.7.1
数据可视化工具：matplotlib
数据处理工具： pandas
2． 系统需求分析
数据分析是指用适当的统计分析方法对收集来的大量数据进行分析，提取有用信息和形成结论而对数据加以详细研究和概括总结的过程。这一过程也是质量管理体系的支持过程。在实用中，数据分析可帮助人们作出判断，以便采取适当行动。数据分析的数学基础在20世纪早期就已确立，但直到计算机的出现才使得实际操作成为可能，并使得数据分析得以推广。数据分析是数学与计算机科学相结合的产物。
VOS是由世界气象组织的一个志愿观测船计划，通过向全球招募志愿船提供连续时间序列的海洋观测数据，因此该数据中包含有时间、经纬度、船名、以及该时刻位置处的气象信息，用于模拟海洋气象变化。该设计能把数据通过图表的方式直观的展示出来。
读取该数据，并拆分出不同属性信息（数据说明见表1），形成列表、元组、字典或集合，再利用Matplotlib库实现船舶信息的可视化。
表1 VOS轨迹数据每行数据组成
|
序号. |
长度. |
全称 |
最小值. |
最大值 |
单位 |
|
1 |
4 |
年 |
1600 |
2024 |
(AAAA) |
|
2 |
2 |
月 |
1 |
12 |
(MM) |
|
3 |
2 |
日 |
1 |
31 |
(YY) |
|
4 |
4 |
时 |
0 |
23.99 |
0.01 hour |
|
5 |
5 |
纬度 |
–90.00 |
90.00 |
0.01°N |
|
6 |
6 |
经度 |
–179.99 |
359.99 |
0.01°E |
|
7 |
2 |
IMMA数据版本 |
0 |
99 |
(Δ•65) |
|
8 |
1 |
attm数量 |
0 |
9 |
|
|
9 |
1 |
时间指示 |
0 |
3 |
|
|
10 |
1 |
位置指示 |
0 |
6 |
|
|
11 |
1 |
航向 |
0 |
9 |
(Ds) |
|
12 |
1 |
航速 |
0 |
9 |
(Δvs) |
|
13 |
2 |
国家编号 |
0 |
99 |
|
|
14 |
2 |
船名指示 |
0 |
10 |
|
|
15 |
9 |
船名 |
c |
c |
(Δ•42) |
|
16 |
2 |
国家 |
b |
b |
(Δ•43) |
2.1 对数据的操作流程如图2-1所示。
3 系统总体设计
3.1 文件读取。Python编码实现对表1中黄色背景字段的读取，并存入Python序列或Numpy、Pandas；DataProcessing函数对数据进行处理
源码如下：
#打开文件
x = open('VOSClim_GTS_nov_2018.txt')
def DataProcessing(f):
year = []#年
mouth = []#月
day = []#日
hour = []#时
latitude = []#纬度
longitude = []#经度
name = []#船名
#一行一行读取数据
while True:
tmpText = f.readline()
if not tmpText:
图2-1 实验数据操作
break
#删除每一行末尾的回车符
tmpText = tmpText.strip('\n')
#从数据中取出“年”并删除空格
year.append(int(tmpText[0:4].strip()))
#从数据中取出“月”并删除空格
mouth.append(int(tmpText[4:6].strip()))
#处理日，对异常的数据置为0
try:
day.append(int(tmpText[6:8].strip()))
except:
day.append(0)
#处理时，数据异常则设置为最小值0
try:
hour.append(float(tmpText[8:10].strip())+float('0.'+tmpText[10:12].strip()))
except:
hour.append(0)
#处理纬度，数据异常则设置为0.00，数据处理为正负数浮点型
try:
if int(tmpText[12:15].strip()) < 0:
latitude.append(float(tmpText[12:15].strip())-float('0.'+tmpText[15:17].strip()))
else:
latitude.append(float(tmpText[12:15].strip())+float('0.'+tmpText[15:17].strip()))
except:
latitude.append(0.00)
#处理经度，数据异常则设置为90，经度原始数据范围为0-360，为方便处理，按照标准东西经度表示，则原始数据减去180
#数据处理为正负数浮点型
try:
if int(tmpText[17:21].strip()) < 0:
longitude.append((float(tmpText[17:21].strip())-float('0.'+ tmpText[21:23].strip()))-180.0)
else:
longitude.append((float(tmpText[17:21].strip())+float('0.'+ tmpText[21:23].strip()))-180.0)
except:
longitude.append(90)
#处理船名，数据异常则设置为c0000
try:
name.append(tmpText[34:43].strip())
except:
name.append("c0000")
#数据分割并保存到pandas
year = pd.Series(year)
mouth = pd.Series(mouth)
day = pd.Series(day)
hour = pd.Series(hour)
latitude = pd.Series(latitude)
longitude = pd.Series(longitude)
name = pd.Series(name)
vosData = pd.DataFrame({'年':year,'月':mouth,'日':day,'时':hour,'纬度':latitude,'经度':longitude,'船名':name})
return(vosData)
在main函数中调用该函数，并执行print(vosData)，结果如图2-2所示，从而把需要的数据中分离出来。
图2- 2 数据信息
3.2 轨迹显示。Python编码实现任2条船舶的轨迹显示，即按时间顺序连接成折线图。（用经度作为横坐标，纬度作为纵坐标）；调用First函数。
源码如下：
#随机生成两条船的轨迹在图中显示出来
def First(vosData):
vosData = vosData.sort_values(by=["船名","年","月","日","时"])
A=random.choice(['2AKI2', '2AKI3', '2AKI4', '2ARS4', '2FGX5', '2HCH5','2HFZ6', '2HFZ7', '2HHG5', '2ICH7', 'C6YR6', 'VRPJ7', 'VRYO3', 'WDG75', 'ZCDN2', 'ZDLS1', 'WDG75', 'VRFO7', 'VRDW2', 'TCMO2', 'MAQK9', 'J8PE3', 'DFGN2'])
B=random.choice(['2AKI2', '2AKI3', '2AKI4', '2ARS4', '2FGX5', '2HCH5','2HFZ6', '2HFZ7', '2HHG5', '2ICH7', 'C6YR6', 'VRPJ7', 'VRYO3', 'WDG75', 'ZCDN2', 'ZDLS1', 'WDG75', 'VRFO7', 'VRDW2', 'TCMO2', 'MAQK9', 'J8PE3', 'DFGN2'])
ax = vosData[vosData["船名"] == A].plot(x="经度",y="纬度",color="deepskyblue",label= A )
vosData[vosData["船名"] == B ].plot(ax=ax,x="经度",y="纬度",color="deeppink",label= B )
plt.title("随机选取 "+A+" "+B+" 两条船的航行轨迹")
plt.xlabel("经度")
plt.ylabel("纬度")
plt.show()
随机生成两条船的轨迹显示，其显示结果如图2-3所示。
图2- 4 随机生成两条船的轨迹显示
3.3 时序统计。Python编码实现不同时段轨迹点数的统计，用折线图展示出来，时段划分设定为了每1个小时为一个时段；调用Second函数。
源码如下：
def Second(vosData):
#时段划分0-1,2-3,4-11,12-15,16-19,20-23
h1 = vosData[(vosData["时"] >= 0) &
(vosData["时"] < 1)].shape[0]
h2 = vosData[(vosData["时"] >= 1) &
(vosData["时"] < 2)].shape[0]
h3 = vosData[(vosData["时"] >= 2) &
(vosData["时"] < 3)].shape[0]
h4 = vosData[(vosData["时"] >= 3) &
(vosData["时"] < 4)].shape[0]
h5 = vosData[(vosData["时"] >= 4) &
(vosData["时"] < 5)].shape[0]
h6 = vosData[(vosData["时"] >= 5) &
(vosData["时"] < 6)].shape[0]
h7 = vosData[(vosData["时"] >= 6) &
(vosData["时"] < 7)].shape[0]
h8 = vosData[(vosData["时"] >= 7) &
(vosData["时"] < 8)].shape[0]
h9 = vosData[(vosData["时"] >= 8) &
(vosData["时"] < 9)].shape[0]
h10 = vosData[(vosData["时"] >= 9) &
(vosData["时"] < 10)].shape[0]
h11 = vosData[(vosData["时"] >= 10) &
(vosData["时"] < 11)].shape[0]
h12 = vosData[(vosData["时"] >= 11) &
(vosData["时"] < 12)].shape[0]
h13 = vosData[(vosData["时"] >= 12) &
(vosData["时"] < 13)].shape[0]
h14 = vosData[(vosData["时"] >= 13) &
(vosData["时"] < 14)].shape[0]
h15 = vosData[(vosData["时"] >= 14) &
(vosData["时"] < 15)].shape[0]
h16 = vosData[(vosData["时"] >= 15) &
(vosData["时"] < 16)].shape[0]
h17 = vosData[(vosData["时"] >= 16) &
(vosData["时"] < 17)].shape[0]
h18 = vosData[(vosData["时"] >= 17) &
(vosData["时"] < 18)].shape[0]
h19 = vosData[(vosData["时"] >= 18) &
(vosData["时"] < 19)].shape[0]
h20 = vosData[(vosData["时"] >= 19) &
(vosData["时"] < 20)].shape[0]
h21 = vosData[(vosData["时"] >= 20) &
(vosData["时"] < 21)].shape[0]
h22 = vosData[(vosData["时"] >= 21) &
(vosData["时"] < 22)].shape[0]
h23 = vosData[(vosData["时"] >= 22) &
(vosData["时"] < 23)].shape[0]
h24 = vosData[(vosData["时"] >= 23) &
(vosData["时"] < 24)].shape[0]
vosData=(h1,h2,h3,h4,h5,h6,h7,h8,h9,h10,h11,h12,h13,h14,h15,h16,h17,h18,h19,h20,h21,h22,h23,h24)
plt.plot(vosData,color= "deeppink" )
plt.xticks(np.arange(24), ('0-1', '1-2', '2-3', '3-4', '4-5', '5-6','6-7', '7-8', '8-9', '9-10', '10-11', '11-12', '12-13', '13-14', '15-16', '16-17', '17-18','18-19', '19-20', '20-21', '21-22', '22-23', '23-24', '24-0'))
plt.title("不同时段轨迹点数统计")
plt.xlabel("不同时段")
plt.ylabel("通过次数")
plt.show()
不同时段轨迹点数的统计如图2-4所示。
图2- 4 不同时段轨迹点数统计
3.4 区域统计。Python编码实现不同经纬度区域轨迹点数统计，用直方图展示出来。区域的划分参照了国际标准时区的划分；调用Third函数。
源码如下：
def Third(vosData):
T1 = vosData[(vosData["经度"] >= -7.5) &
(vosData["经度"] < 7.5)].shape[0]
T2 = vosData[(vosData["经度"] >= 7.5) &
(vosData["经度"] < 22.5)].shape[0]
T3 = vosData[(vosData["经度"] >= 22.5) &
(vosData["经度"] < 37.5)].shape[0]
T4 = vosData[(vosData["经度"] >= 37.5) &
(vosData["经度"] < 52.5)].shape[0]
T5 = vosData[(vosData["经度"] >= 52.5) &
(vosData["经度"] < 67.5)].shape[0]
T6 = vosData[(vosData["经度"] >= 67.5) &
(vosData["经度"] < 82.5)].shape[0]
T7 = vosData[(vosData["经度"] >= 82.5) &
(vosData["经度"] < 97.5)].shape[0]
T8 = vosData[(vosData["经度"] >= 97.5) &
(vosData["经度"] < 112.5)].shape[0]
T9 = vosData[(vosData["经度"] >= 112.5) &
(vosData["经度"] < 127.5)].shape[0]
T10 = vosData[(vosData["经度"] >= 127.5) &
(vosData["经度"] < 142.5)].shape[0]
T11 = vosData[(vosData["经度"] >= 142.5) &
(vosData["经度"] < 157.5)].shape[0]
T12 = vosData[(vosData["经度"] >= 157.5) &
(vosData["经度"] < 172.5)].shape[0]
T13 = vosData[(vosData["经度"] >= 172.5) &
(vosData["经度"] < 180)].shape[0]
T13 += vosData[(vosData["经度"] > -180) &
(vosData["经度"] <= -172.5)].shape[0]
T14 = vosData[(vosData["经度"] >= -172.5) &
(vosData["经度"] < -157.5)].shape[0]
T15 = vosData[(vosData["经度"] >= -157.5) &
(vosData["经度"] < -142.5)].shape[0]
T16 = vosData[(vosData["经度"] >= -142.5) &
(vosData["经度"] < -127.5)].shape[0]
T17 = vosData[(vosData["经度"] >= -127.5) &
(vosData["经度"] < -112.5)].shape[0]
T18 = vosData[(vosData["经度"] >= -112.5) &
(vosData["经度"] < -97.5)].shape[0]
T19 = vosData[(vosData["经度"] >= -97.5) &
(vosData["经度"] < -82.5)].shape[0]
T20 = vosData[(vosData["经度"] >= -82.5) &
(vosData["经度"] < -67.5)].shape[0]
T21 = vosData[(vosData["经度"] >= -67.5) &
(vosData["经度"] < -52.5)].shape[0]
T22 = vosData[(vosData["经度"] >= -52.5) &
(vosData["经度"] < -37.5)].shape[0]
T23 = vosData[(vosData["经度"] >= -37.5) &
(vosData["经度"] < -22.5)].shape[0]
T24 = vosData[(vosData["经度"] >= -22.5) &
(vosData["经度"] < -7.5)].shape[0]
vosData=(T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15,T16,T17,T18,T19,T20,T21,T22,T23,T24)
plt.barh(range(24),vosData,height=0.7,color=(A1,B1,C1,D1,E1,F1,G1,H1,I1,J1,A1,B1,C1,D1,E1,F1,G1,H1,I1,J1,A1,B1,C1,D1,E1), alpha=0.8)
plt.yticks(np.arange(24), ('UTC', 'UTC+1', 'UTC+2', 'UTC+3', 'UTC+4', 'UTC+5', 'UTC+6', 'UTC+7', 'UTC+8', 'UTC+9', 'UTC+10', 'UTC+11', 'UTC±12', 'UTC-11','UTC-10', 'UTC-9', 'UTC-8', 'UTC-7', 'UTC-6', 'UTC-5', 'UTC-4', 'UTC-3', 'UTC-2', 'UTC-1'))
plt.title("不同经纬度区域轨迹点数统计(通过时区划分)")
plt.ylabel("各个时区")
plt.xlabel("通过次数")
plt.show()
不同经纬度区域轨迹点数统计(通过时区划分)如图2-5所示，直方图采用横向式让理解更加方便，直方图颜色采用了随机颜色生成，每次运行产生的颜色都会不一样。
图2- 5 不同经纬度区域轨迹点数统计（通过时区划分）
3.5 按船统计。Python编码按船名随机统计十条船的轨迹数量，用直方图展示出来，在直方图顶显示出该直方图的数据，直方图颜色随机生成；调用Fourth函数。
源码如下：
def Fourth(vosData):
vosData = vosData.sort_values(by=["船名"])
#从数据中随机选取10条船分别为s1-D\s2-C\s3-E\s4-F\s5-G\s6-H\s7-I\s8-J\s9-K\s10-M，并进行轨迹数量统计
A=['2AKI2', '2AKI3', '2AKI4', '2ARS4', '2FGX5', '2HCH5','2HFZ6', '2HFZ7', '2HHG5', '2ICH7', 'C6YR6', 'CG302', 'VRPJ7', 'VRYO3', 'WDG75', 'ZCDN2', 'ZDLS1', 'WDG75', 'WDC66', 'VRFO7', 'VRDW2', 'TCMO2', 'MAQK9', 'J8PE3', 'DFGN2']
D=random.choice(A)
E=random.choice(A)
F=random.choice(A)
G=random.choice(A)
H=random.choice(A)
I=random.choice(A)
J=random.choice(A)
K=random.choice(A)
L=random.choice(A)
M=random.choice(A)
s1 = vosData[vosData["船名"] == D].shape[0]
s2 = vosData[vosData["船名"] == E].shape[0]
s3 = vosData[vosData["船名"] == F].shape[0]
s4 = vosData[vosData["船名"] == G].shape[0]
s5 = vosData[vosData["船名"] == H].shape[0]
s6 = vosData[vosData["船名"] == I].shape[0]
s7 = vosData[vosData["船名"] == J].shape[0]
s8 = vosData[vosData["船名"] == K].shape[0]
s9 = vosData[vosData["船名"] == L].shape[0]
s10 = vosData[vosData["船名"] == M].shape[0]
vosData = (s1,s2,s3,s4,s5,s6,s7,s8,s9,s10)
#柱状图颜色随机产生
rects=plt.bar(range(10),vosData,color=(A1,B1,C1,D1,E1,F1,G1,H1,I1,J1))
plt.xticks(np.arange(10),(D,E,F,G,H,I,J,K,L,M))
plt.title("随机选取十条船在不同经纬度区域轨迹点数统计")
plt.xlabel("船名")
plt.ylabel("通过次数")
#柱状图顶端显示数据
for rect in rects:
height = rect.get_height()
plt.text(rect.get_x() + rect.get_width() / 2, height, str(height), ha='center', va='bottom')
plt.show()
随机选取十条船在不同经纬度区域轨迹点数统计如图2-6所示。
图2- 6随机选取十条船在不同经纬度区域轨迹点数统计
3.6 头文件和main函数的构
头文件源码如下：
import random #引入随机函数
import numpy as np #引入numy
import pandas as pd #引入pandas
import matplotlib.pyplot as plt #引入matplotlib画图插件
plt.rcParams['font.sans-serif'] = ['SimHei'] #设置在matplotlib上的中文字体
plt.rcParams['axes.unicode_minus'] = False #在matplotlib绘图正常显示符号
main函数源码如下：
if __name__ == '__main__':
#打开文件
x = open('VOSClim_GTS_nov_2018.txt')
vosData = DataProcessing(x)
#打印数据信息
print(vosData)
#调用函数绘图
First(vosData)
Second(vosData)
Third(vosData)
Fourth(vosData)
#关闭文件
x.close()
三、课程设计总结或结论
1． 通过这次Python课程设计的实践训练，进一步掌握Python编程的方法和技术，提高Python编程的实际能力，培养Python设计能力和综合分析、解决问题的能力。
1．1 学习和实践分析、设计Python编程的各种知识,包括面向对象的数据分析与设计,编码和测试方面的知识。
1．2 熟悉较为新颖的数据可视化工具matplotlib，并将其运用于课程设计的全过程；
1．3 进一步加强和提高Python项目工程文档的编写能力；
1．4 培养了查阅资料和参看文献解决问题的能力。
2． 本设计基本实现了要求的功能，在功能上基本满足了用户的需求，但是由于时间较紧，有些模块以及整个系统还有许多不完善的地方，比如在处理异常数据方面做得还不到位，导致某些异常数据直接被抛出，影响最终结果。
四、参考文献
[1] 董付国．Python程序设计基础[M]．北京：清华大学出版社，2015
[2] 杨颖，赖勇浩．改善Pythond 91个建议[M]．北京：机械工业出版社，2014
[3] 张若愚．Python科学计算[M]. 北京：人民邮电出版社，2012
[4] Wes Mckinney著．机器学习实战．北京：机械工业出版社，2014
import random import numpy as np import pandas as pd import matplotlib.pyplot as plt plt.rcParams['font.sans-serif'] = ['SimHei'] #设置在matplotlib上的中文字体 plt.rcParams['axes.unicode_minus'] = False #在matplotlib绘图正常显示符号 #随机颜色 N=['black', 'darkorange', 'orange', 'lightcoral', 'red','khaki', 'aqua', 'g', 'navy', 'yellow', 'gold', 'lime', 'green', 'cyan', 'deepskyblue', 'dodgerblue', 'deeppink', 'purple', 'b', 'indigo', 'pink', 'indigo'] A1=random.choice(N);B1=random.choice(N);C1=random.choice(N); D1=random.choice(N);E1=random.choice(N);F1=random.choice(N) G1=random.choice(N);H1=random.choice(N);I1=random.choice(N); J1=random.choice(N) #随机生成两条船的轨迹在图中显示出来 def First(vosData): vosData = vosData.sort_values(by=["船名","年","月","日","时"]) A=random.choice(['2AKI2', '2AKI3', '2AKI4', '2ARS4', '2FGX5', '2HCH5','2HFZ6', '2HFZ7', '2HHG5', '2ICH7', 'C6YR6', 'VRPJ7', 'VRYO3', 'WDG75', 'ZCDN2', 'ZDLS1', 'WDG75', 'VRFO7', 'VRDW2', 'TCMO2', 'MAQK9', 'J8PE3', 'DFGN2']) B=random.choice(['2AKI2', '2AKI3', '2AKI4', '2ARS4', '2FGX5', '2HCH5','2HFZ6', '2HFZ7', '2HHG5', '2ICH7', 'C6YR6', 'VRPJ7', 'VRYO3', 'WDG75', 'ZCDN2', 'ZDLS1', 'WDG75', 'VRFO7', 'VRDW2', 'TCMO2', 'MAQK9', 'J8PE3', 'DFGN2']) ax = vosData[vosData["船名"] == A].plot(x="经度",y="纬度",color="deepskyblue",label= A ) vosData[vosData["船名"] == B ].plot(ax=ax,x="经度",y="纬度",color="deeppink",label= B ) plt.title("随机选取 "+A+" "+B+" 两条船的航行轨迹") plt.xlabel("经度") plt.ylabel("纬度") plt.show() #不同时段船的轨迹点数统计 def Second(vosData): #时段划分0-1,2-3,4-11,12-15,16-19,20-23 h1 = vosData[(vosData["时"] >= 0) & (vosData["时"] < 1)].shape[0] h2 = vosData[(vosData["时"] >= 1) & (vosData["时"] < 2)].shape[0] h3 = vosData[(vosData["时"] >= 2) & (vosData["时"] < 3)].shape[0] h4 = vosData[(vosData["时"] >= 3) & (vosData["时"] < 4)].shape[0] h5 = vosData[(vosData["时"] >= 4) & (vosData["时"] < 5)].shape[0] h6 = vosData[(vosData["时"] >= 5) & (vosData["时"] < 6)].shape[0] h7 = vosData[(vosData["时"] >= 6) & (vosData["时"] < 7)].shape[0] h8 = vosData[(vosData["时"] >= 7) & (vosData["时"] < 8)].shape[0] h9 = vosData[(vosData["时"] >= 8) & (vosData["时"] < 9)].shape[0] h10 = vosData[(vosData["时"] >= 9) & (vosData["时"] < 10)].shape[0] h11 = vosData[(vosData["时"] >= 10) & (vosData["时"] < 11)].shape[0] h12 = vosData[(vosData["时"] >= 11) & (vosData["时"] < 12)].shape[0] h13 = vosData[(vosData["时"] >= 12) & (vosData["时"] < 13)].shape[0] h14 = vosData[(vosData["时"] >= 13) & (vosData["时"] < 14)].shape[0] h15 = vosData[(vosData["时"] >= 14) & (vosData["时"] < 15)].shape[0] h16 = vosData[(vosData["时"] >= 15) & (vosData["时"] < 16)].shape[0] h17 = vosData[(vosData["时"] >= 16) & (vosData["时"] < 17)].shape[0] h18 = vosData[(vosData["时"] >= 17) & (vosData["时"] < 18)].shape[0] h19 = vosData[(vosData["时"] >= 18) & (vosData["时"] < 19)].shape[0] h20 = vosData[(vosData["时"] >= 19) & (vosData["时"] < 20)].shape[0] h21 = vosData[(vosData["时"] >= 20) & (vosData["时"] < 21)].shape[0] h22 = vosData[(vosData["时"] >= 21) & (vosData["时"] < 22)].shape[0] h23 = vosData[(vosData["时"] >= 22) & (vosData["时"] < 23)].shape[0] h24 = vosData[(vosData["时"] >= 23) & (vosData["时"] < 24)].shape[0] vosData = (h1,h2,h3,h4,h5,h6,h7,h8,h9,h10,h11,h12,h13,h14,h15,h16,h17,h18,h19,h20,h21,h22,h23,h24) plt.plot(vosData,color= "deeppink" ) plt.xticks(np.arange(24), ('0-1', '1-2', '2-3', '3-4', '4-5', '5-6','6-7', '7-8', '8-9', '9-10', '10-11', '11-12', '12-13', '13-14', '15-16', '16-17', '17-18','18-19', '19-20', '20-21', '21-22', '22-23', '23-24', '24-0')) plt.title("不同时段轨迹点数统计") plt.xlabel("不同时段") plt.ylabel("通过次数") plt.show() #区域的划分（参照了国际标准时区的划分） def Third(vosData): T1 = vosData[(vosData["经度"] >= -7.5) & (vosData["经度"] < 7.5)].shape[0] T2 = vosData[(vosData["经度"] >= 7.5) & (vosData["经度"] < 22.5)].shape[0] T3 = vosData[(vosData["经度"] >= 22.5) & (vosData["经度"] < 37.5)].shape[0] T4 = vosData[(vosData["经度"] >= 37.5) & (vosData["经度"] < 52.5)].shape[0] T5 = vosData[(vosData["经度"] >= 52.5) & (vosData["经度"] < 67.5)].shape[0] T6 = vosData[(vosData["经度"] >= 67.5) & (vosData["经度"] < 82.5)].shape[0] T7 = vosData[(vosData["经度"] >= 82.5) & (vosData["经度"] < 97.5)].shape[0] T8 = vosData[(vosData["经度"] >= 97.5) & (vosData["经度"] < 112.5)].shape[0] T9 = vosData[(vosData["经度"] >= 112.5) & (vosData["经度"] < 127.5)].shape[0] T10 = vosData[(vosData["经度"] >= 127.5) & (vosData["经度"] < 142.5)].shape[0] T11 = vosData[(vosData["经度"] >= 142.5) & (vosData["经度"] < 157.5)].shape[0] T12 = vosData[(vosData["经度"] >= 157.5) & (vosData["经度"] < 172.5)].shape[0] T13 = vosData[(vosData["经度"] >= 172.5) & (vosData["经度"] < 180)].shape[0] T13 += vosData[(vosData["经度"] > -180) & (vosData["经度"] <= -172.5)].shape[0] T14 = vosData[(vosData["经度"] >= -172.5) & (vosData["经度"] < -157.5)].shape[0] T15 = vosData[(vosData["经度"] >= -157.5) & (vosData["经度"] < -142.5)].shape[0] T16 = vosData[(vosData["经度"] >= -142.5) & (vosData["经度"] < -127.5)].shape[0] T17 = vosData[(vosData["经度"] >= -127.5) & (vosData["经度"] < -112.5)].shape[0] T18 = vosData[(vosData["经度"] >= -112.5) & (vosData["经度"] < -97.5)].shape[0] T19 = vosData[(vosData["经度"] >= -97.5) & (vosData["经度"] < -82.5)].shape[0] T20 = vosData[(vosData["经度"] >= -82.5) & (vosData["经度"] < -67.5)].shape[0] T21 = vosData[(vosData["经度"] >= -67.5) & (vosData["经度"] < -52.5)].shape[0] T22 = vosData[(vosData["经度"] >= -52.5) & (vosData["经度"] < -37.5)].shape[0] T23 = vosData[(vosData["经度"] >= -37.5) & (vosData["经度"] < -22.5)].shape[0] T24 = vosData[(vosData["经度"] >= -22.5) & (vosData["经度"] < -7.5)].shape[0] vosData = (T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12, T13,T14,T15,T16,T17,T18,T19,T20,T21,T22,T23,T24) plt.barh(range(24), vosData, height=0.7, color=(A1,B1,C1,D1,E1,F1,G1,H1,I1,J1,A1,B1,C1, D1,E1,F1,G1,H1,I1,J1,A1,B1,C1,D1,E1), alpha=0.8) plt.yticks(np.arange(24), ('UTC', 'UTC+1', 'UTC+2', 'UTC+3', 'UTC+4', 'UTC+5', 'UTC+6', 'UTC+7', 'UTC+8', 'UTC+9', 'UTC+10', 'UTC+11', 'UTC±12', 'UTC-11','UTC-10', 'UTC-9', 'UTC-8', 'UTC-7', 'UTC-6', 'UTC-5', 'UTC-4', 'UTC-3', 'UTC-2', 'UTC-1')) plt.title("不同经纬度区域轨迹点数统计(通过时区划分)") plt.ylabel("各个时区") plt.xlabel("通过次数") plt.show() #随机选取10条船在不同经纬度区域轨迹点数统计 def Fourth(vosData): vosData = vosData.sort_values(by=["船名"]) #从数据中随机选取10条船分别为s1-D\s2-C\s3-E\s4-F\s5-G\s6-H\s7-I\s8-J\s9-K\s10-M，并进行轨迹数量统计 A=['2AKI2', '2AKI3', '2AKI4', '2ARS4', '2FGX5', '2HCH5','2HFZ6', '2HFZ7', '2HHG5', '2ICH7', 'C6YR6', 'CG302', 'VRPJ7', 'VRYO3', 'WDG75', 'ZCDN2', 'ZDLS1', 'WDG75', 'WDC66', 'VRFO7', 'VRDW2', 'TCMO2', 'MAQK9', 'J8PE3', 'DFGN2'] D=random.choice(A) E=random.choice(A) F=random.choice(A) G=random.choice(A) H=random.choice(A) I=random.choice(A) J=random.choice(A) K=random.choice(A) L=random.choice(A) M=random.choice(A) s1 = vosData[vosData["船名"] == D].shape[0] s2 = vosData[vosData["船名"] == E].shape[0] s3 = vosData[vosData["船名"] == F].shape[0] s4 = vosData[vosData["船名"] == G].shape[0] s5 = vosData[vosData["船名"] == H].shape[0] s6 = vosData[vosData["船名"] == I].shape[0] s7 = vosData[vosData["船名"] == J].shape[0] s8 = vosData[vosData["船名"] == K].shape[0] s9 = vosData[vosData["船名"] == L].shape[0] s10 = vosData[vosData["船名"] == M].shape[0] vosData = (s1,s2,s3,s4,s5,s6,s7,s8,s9,s10) rects=plt.bar(range(10),vosData,color=(A1,B1,C1,D1,E1,F1,G1,H1,I1,J1)) plt.xticks(np.arange(10),(D,E,F,G,H,I,J,K,L,M)) plt.title("随机选取十条船在不同经纬度区域轨迹点数统计") plt.xlabel("船名") plt.ylabel("通过次数") for rect in rects: height = rect.get_height() plt.text(rect.get_x() + rect.get_width() / 2, height, str(height), ha='center', va='bottom') plt.show() #处理数据（对异常数据进行处理） def DataProcessing(x): year = []#年 mouth = []#月 day = []#日 hour = []#时 latitude = []#纬度 longitude = []#经度 name = []#船名 #一行一行读取数据 while True: tmpText = x.readline() if not tmpText: break #删除每一行末尾的回车符 tmpText = tmpText.strip('\n') #从数据中取出“年”并删除空格 year.append(int(tmpText[0:4].strip())) #从数据中取出“月”并删除空格 mouth.append(int(tmpText[4:6].strip())) #处理日，对异常的数据置为0 try: day.append(int(tmpText[6:8].strip())) except: day.append(0) #处理时，数据异常则设置为最小值0 try: hour.append(float(tmpText[8:10].strip()) + float('0.' + tmpText[10:12].strip())) except: hour.append(0) #处理纬度，数据异常则设置为0.00，数据处理为正负数浮点型 try: if int(tmpText[12:15].strip()) < 0: latitude.append(float(tmpText[12:15].strip()) - float('0.' + tmpText[15:17].strip())) else: latitude.append(float(tmpText[12:15].strip()) + float('0.' + tmpText[15:17].strip())) except: latitude.append(0.00) #处理经度，数据异常则设置为90，经度原始数据范围为0-360，为方便处理，按照标准东西经度表示，则原始数据减去180 #数据处理为正负数浮点型 try: if int(tmpText[17:21].strip()) < 0: longitude.append((float(tmpText[17:21].strip()) - float('0.' + tmpText[21:23].strip()))-180.0) else: longitude.append((float(tmpText[17:21].strip()) + float('0.' + tmpText[21:23].strip()))-180.0) except: longitude.append(90) #处理船名，数据异常则设置为c0000 try: name.append(tmpText[34:43].strip()) except: name.append("c0000") #数据分割并保存到pandas year = pd.Series(year) mouth = pd.Series(mouth) day = pd.Series(day) hour = pd.Series(hour) latitude = pd.Series(latitude) longitude = pd.Series(longitude) name = pd.Series(name) vosData = pd.DataFrame({'年':year,'月':mouth,'日':day,'时':hour,'纬度':latitude,'经度':longitude,'船名':name}) return(vosData) if __name__ == '__main__': #打开文件 x = open('VOSClim_GTS_nov_2018.txt') vosData = DataProcessing(x) #打印数据信息 print(vosData) #调用函数绘图 First(vosData) Second(vosData) Third(vosData) Fourth(vosData) x.close()
txt文档信息如下，注意文件名
201811 1 500-2690 1390 130042 1 12AKI2 201811 1 900-2760 1420 130032 1 12AKI2 201811 11800-2910 1490 130043 1 12AKI2 201811 21000-3230 1620 130043 1 12AKI2 201811 21800-3410 1710 130044 1 12AKI2 201811 3 500-3520 2010 130024 1 12AKI2 201811 41700-3390 2940 130023 1 12AKI2 201811 5 400-3300 3260 130023 1 12AKI2 201811 5 900-3270 3350 130013 1 12AKI2 201811 51700-3210 3510 130023 1 12AKI2 201811 71200-2870 4300 130053 1 12AKI2 201811 71600-2860 4310 130013 1 12AKI2 201811 81600-2700 4630 130013 1 12AKI2 201811 91600-2540 4930 130083 1 12AKI2 20181110 300-2470 5050 130013 1 12AKI2 201811101600-2380 5210 130013 1 12AKI2 201811111200-2180 5550 130013 1 12AKI2 201811111600-2140 5600 130013 1 12AKI2 201811122000-1980 5700 130013 1 12AKI2 20181113 300-1980 5710 130013 1 12AKI2 201811131600-1940 5840 130014 1 12AKI2 201811132000-1890 5970 130014 1 12AKI2 20181114 600-1750 6290 130014 1 12AKI2 201811141500-1630 6550 130014 1 12AKI2 201811141900-1580 6660 130014 1 12AKI2 20181115 200-1480 6860 130014 1 12AKI2 20181115 700-1420 6990 130014 1 12AKI2 201811151500-1310 7210 130014 1 12AKI2 20181116 200-1140 7540 130014 1 12AKI2 20181116 700-1070 7680 130014 1 12AKI2 201811161000-1020 7760 130014 1 12AKI2 201811161800 -870 7940 130013 1 12AKI2 20181117 600 -630 8190 130013 1 12AKI2 201811171400 -460 8360 130014 1 12AKI2 20181118 600 -100 8720 130013 1 12AKI2 201811181300 60 8890 130014 1 12AKI2 201811181700 150 8980 130014 1 12AKI2 20181119 500 410 9250 130014 1 12AKI2 20181123 400 850 10930 130000 1 12AKI2 20181123 800 840 10980 130024 1 12AKI2 201811231300 930 11090 130014 1 12AKI2 20181124 400 1310 11420 130014 1 12AKI2 20181124 700 1400 11510 130014 1 12AKI2 20181126 400 1790 11490 130024 1 12AKI2 20181127 400 1810 11470 130064 1 12AKI2 20181128 400 1800 11460 130064 1 12AKI2 20181129 400 1800 11460 130064 1 12AKI2 201811291600 1800 11580 130064 1 12AKI2 20181130 300 1810 11660 130024 1 12AKI2 201811 11100 130 10530 130023 1 12AKI3 201811 11500 120 10600 130022 1 12AKI3 201811 11800 120 10650 130022 1 12AKI3 201811 12100 150 10690 130012 1 12AKI3 201811 2 300 220 10750 130012 1 12AKI3 201811 2 600 270 10800 130013 1 12AKI3 201811 21100 360 10900 130014 1 12AKI3 201811 21500 440 10990 130014 1 12AKI3 201811 21800 510 11040 130014 1 12AKI3 201811 22100 570 11090 130014 1 12AKI3 201811 22200 590 11100 130014 1 12AKI3 201811 3 300 600 11090 130063 1 12AKI3 201811 3 700 620 11030 130063 1 12AKI3 201811 31100 650 11110 130014 1 12AKI3 201811 31500 670 11110 130054 1 12AKI3 201811 31900 630 11050 130014 1 12AKI3 201811 32300 650 11140 130014 1 12AKI3 201811 4 300 630 11030 130064 1 12AKI3 201811 4 600 630 11100 130023 1 12AKI3 201811 41000 610 11150 130044 1 12AKI3 201811 41500 700 11140 130064 1 12AKI3 201811 41800 670 11070 130054 1 12AKI3 201811 42100 620 11080 130034 1 12AKI3 201811 5 300 680 11120 130052 1 12AKI3 201811 5 600 650 11080 130053 1 12AKI3 201811 51000 630 11090 130024 1 12AKI3 201811 51500 660 11120 130054 1 12AKI3 201811 51800 620 11100 130014 1 12AKI3 201811 52300 530 11040 130054 1 12AKI3 201811 6 300 450 10980 130053 1 12AKI3 201811 6 700 370 10900 130054 1 12AKI3 201811 61000 320 10830 130054 1 12AKI3 201811 61500 210 10730 130054 1 12AKI3 201811 61800 150 10670 130054 1 12AKI3 201811 62100 130 10580 130064 1 12AKI3 201811 7 600 140 10470 130000 1 12AKI3 201811 71800 240 10470 130000 1 12AKI3 201811 72300 140 10470 130000 1 12AKI3 201811 8 300 140 10470 130000 1 12AKI3 201811 8 600 140 10470 130000 1 12AKI3 201811 81200 140 10470 130000 1 12AKI3 201811 81500 140 10470 130000 1 12AKI3 201811 81800 140 10470 130000 1 12AKI3 201811 82100 140 10470 130000 1 12AKI3 201811 9 300 140 10470 130000 1 12AKI3 201811 9 600 140 10470 130000 1 12AKI3 201811 91200 140 10470 130000 1 12AKI3 201811 91500 140 10470 130000 1 12AKI3 201811 91700 140 10470 130000 1 12AKI3 201811 91800 140 10470 130000 1 12AKI3 201811 91900 140 10470 130000 1 12AKI3 201811 92300 140 10470 130000 1 12AKI3 20181110 300 140 10470 130000 1 12AKI3 20181110 600 140 10470 130000 1 12AKI3 201811101100 140 10470 130000 1 12AKI3 201811101200 140 10470 130000 1 12AKI3 201811101500 140 10470 130000 1 12AKI3 201811101800 140 10470 130000 1 12AKI3 201811102200 140 10470 130000 1 12AKI3 201811102300 140 10470 130000 1 12AKI3 20181111 300 140 10470 130000 1 12AKI3 20181111 600 140 10470 130000 1 12AKI3 20181111 900 140 10470 130000 1 12AKI3 201811111000 140 10470 130000 1 12AKI3 201811111500 140 10470 130000 1 12AKI3 201811111800 140 10470 130000 1 12AKI3 201811112200 140 10470 130000 1 12AKI3 20181112 300 140 10470 130000 1 12AKI3 20181112 600 140 10470 130000 1 12AKI3 201811121200 140 10470 130000 1 12AKI3 201811121500 140 10470 130000 1 12AKI3 201811122000 140 10470 130000 1 12AKI3 201811122300 140 10470 130000 1 12AKI3 20181113 800 140 10470 130000 1 12AKI3 201811131200 140 10470 130000 1 12AKI3 201811131500 140 10470 130000 1 12AKI3 201811131900 140 10470 130000 1 12AKI3 201811132300 140 10470 130000 1 12AKI3 20181114 300 140 10470 130000 1 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20181115 0 4350 15040 130063 1 1DDVK2 20181115 300 4330 14950 130063 1 1DDVK2 201811151200 4260 14680 130063 1 1DDVK2 20181116 0 4170 14290 130063 1 1DDVK2 20181117 0 3920 13650 130053 1 1DDVK2 201811171200 3740 13330 130053 1 1DDVK2 20181118 0 3610 13100 130052 1 1DDVK2 20181120 0 3410 12850 130054 1 1DDVK2 201811 7 0 310 10440 130084 1 1DDYL2 201811 8 0 980 10250 130084 1 1DDYL2 20181113 0 1300 11120 130014 1 1DDYL2 20181114 0 1810 11580 130014 1 1DDYL2 201811181800 2970 12450 130014 1 1DDYL2 201811191200 3320 12850 130014 1 1DDYL2 20181120 0 3540 13140 130014 1 1DDYL2 201811201200 3740 13430 130014 1 1DDYL2 20181121 0 3940 13740 130014 1 1DDYL2 201811211200 3990 13850 130031 1 1DDYL2 20181122 0 3980 13880 130031 1 1DDYL2 201811221200 4000 13920 130081 1 1DDYL2 20181123 0 4170 14200 130023 1 1DDYL2 201811231200 4280 14550 130014 1 1DDYL2 201811231800 4360 14720 130013 1 1DDYL2 20181124 0 4440 14890 130014 1 1DDYL2 201811241200 4590 15230 130013 1 1DDYL2 20181125 600 4790 15790 130013 1 1DDYL2 201811251200 4860 15990 130013 1 1DDYL2 201811251800 4920 16200 130013 1 1DDYL2 20181126 0 4970 16400 130013 1 1DDYL2 201811261800 5120 17060 130023 1 1DDYL2 201811281800 5420 18980 130023 1 1DDYL2 201811291800 5390 19980 130023 1 1DDYL2 201811 6 600 1300 4870 130024 1 1DFDG2 201811 9 600 940 6890 130024 1 1DFDG2 20181110 600 720 7570 130024 1 1DFDG2 201811 1 0 4210 13320 130012 1 1DFGN2 201811 2 0 4170 13370 130000 1 1DFGN2 201811 41800 4170 13260 130043 1 1DFGN2 201811 5 0 4010 13190 130044 1 1DFGN2 201811 5 600 3870 13120 130043 1 1DFGN2 201811 51200 3720 13050 130043 1 1DFGN2 201811 51800 3580 12990 130043 1 1DFGN2 201811 71500 3420 12520 130063 1 1DFGN2 201811 71800 3450 12440 130074 1 1DFGN2 201811 8 0 3530 12260 130073 1 1DFGN2 201811 8 300 3550 12190 130073 1 1DFGN2 201811 81200 3570 12110 130000 1 1DFGN2 20181110 0 3440 12210 130034 1 1DFGN2 20181110 300 3340 12270 130034 1 1DFGN2 201811101200 3080 12310 130043 1 1DFGN2 20181112 0 2990 12270 130044 1 1DFGN2 20181112 300 2970 12260 130000 1 1DFGN2 201811121200 2970 12260 130000 1 1DFGN2 20181114 600 2920 12270 130034 1 1DFGN2 201811141200 2760 12160 130054 1 1DFGN2 20181115 0 2430 11880 130054 1 1DFGN2 201811151200 2240 11560 130064 1 1DFGN2 201811161200 2150 11410 130054 1 1DFGN2 201811161800 1990 11360 130044 1 1DFGN2 20181117 0 1820 11300 130044 1 1DFGN2 20181117 300 1730 11270 130044 1 1DFGN2 20181117 600 1660 11240 130054 1 1DFGN2 201811171200 1500 11170 130044 1 1DFGN2 201811171800 1330 11110 130054 1 1DFGN2 20181118 300 1090 11020 130044 1 1DFGN2 20181118 600 1010 10980 130054 1 1DFGN2 201811181800 730 10800 130054 1 1DFGN2 20181119 0 590 10710 130054 1 1DFGN2 20181119 300 510 10660 130054 1 1DFGN2 20181119 600 440 10610 130054 1 1DFGN2 201811191200 300 10520 130054 1 1DFGN2 20181121 300 190 10220 130073 1 1DFGN2 20181123 300 360 10000 130074 1 1DFGN2 20181123 600 400 9940 130073 1 1DFGN2 201811231500 530 9740 130074 1 1DFGN2 20181124 300 590 9400 130064 1 1DFGN2 20181124 600 590 9320 130064 1 1DFGN2 201811241500 590 9070 130064 1 1DFGN2 20181125 0 590 8840 130063 1 1DFGN2 20181125 300 590 8750 130064 1 1DFGN2 20181125 600 590 8680 130064 1 1DFGN2 201811251800 580 8360 130064 1 1DFGN2 20181126 0 580 8180 130064 1 1DFGN2 201811261200 660 7880 130074 1 1DFGN2 201811271800 1200 7250 130074 1 1DFGN2 20181128 600 1420 7010 130074 1 1DFGN2 201811281200 1540 6880 130074 1 1DFGN2 20181129 600 1900 6460 130074 1 1DFGN2 201811 1 600 1520 28340 130014 1 1DFGX2 201811 11200 1700 28440 130014 1 1DFGX2 201811 11800 1870 28530 130014 1 1DFGX2 201811 2 600 2240 28670 130084 1 1DFGX2 201811 21200 2430 28700 130084 1 1DFGX2 201811 3 600 3020 28780 130084 1 1DFGX2 201811 4 600 3750 28790 130073 1 1DFGX2 201811 41800 4020 28630 130082 1 1DFGX2 201811 7 600 4030 28710 130023 1 1DFGX2 201811 71800 4050 29100 130013 1 1DFGX2 201811 91800 3940 28980 130054 1 1DFGX2 20181110 600 3670 28660 130054 1 1DFGX2 201811101800 3420 28340 130054 1 1DFGX2 20181112 600 3360 28190 130052 1 1DFGX2 201811161800 3160 28140 130033 1 1DFGX2 20181117 600 2870 28340 130044 1 1DFGX2 201811171800 2520 28480 130044 1 1DFGX2 201811181800 1880 28540 130054 1 1DFGX2 20181119 600 1600 28380 130054 1 1DFGX2 201811191800 1320 28220 130054 1 1DFGX2 20181120 600 1050 28070 130053 1 1DFGX2 20181122 600 730 28020 130054 1 1DFGX2 201811221800 770 27660 130074 1 1DFGX2 20181123 900 970 27270 130074 1 1DFGX2 201811231800 1100 27010 130074 1 1DFGX2 20181124 600 1270 26660 130074 1 1DFGX2 20181126 0 1860 25440 130064 1 1DFGX2 201811271200 2260 24330 130064 1 1DFGX2 20181128 0 2390 23960 130064 1 1DFGX2 201811281200 2530 23570 130064 1 1DFGX2 201811281800 2600 23380 130064 1 1DFGX2 20181129 0 2620 23180 130064 1 1DFGX2 201811291200 2650 22780 130064 1 1DFGX2 20181130 0 2670 22370 130064 1 1DFGX2 201811302100 2720 21610 130064 1 1DFGX2 201811 1 0 2750 3400 130034 1 1DFKM2 201811 1 600 2610 3510 130034 1 1DFKM2 201811 11200 2470 3620 130034 1 1DFKM2 201811 2 0 2190 3840 130034 1 1DFKM2 201811 41200 1630 4100 130033 1 1DFKM2 201811 51200 1190 4460 130033 1 1DFKM2 201811 6 600 1320 4930 130024 1 1DFKM2 201811 7 600 1340 5580 130024 1 1DFKM2 201811 9 600 950 6840 130024 1 1DFKM2 20181113 600 600 9440 130024 1 1DFKM2 20181114 600 410 9930 130033 1 1DFKM2 20181117 600 390 10580 130014 1 1DFKM2 20181118 600 970 11080 130014 1 1DFKM2 20181119 600 1630 11550 130014 1 1DFKM2 20181122 600 2790 12310 130013 1 1DFKM2 20181123 0 3090 12570 130013 1 1DFKM2 201811 12100 3890 20 130034 1 1DFNB2 201811 2 0 3810 0 130054 1 1DFNB2 201811 2 900 3630 35750 130064 1 1DFNB2 201811 21200 3620 35650 130064 1 1DFNB2 201811 21500 3610 35560 130063 1 1DFNB2 201811 31800 3600 35560 130024 1 1DFNB2 201811 32100 3620 35660 130024 1 1DFNB2 201811 4 900 3820 0 130062 1 1DFNB2 201811 5 0 4100 410 130014 1 1DFNB2 201811 5 600 4210 590 130014 1 1DFNB2 201811 5 900 4260 690 130014 1 1DFNB2 201811 51500 4380 870 130014 1 1DFNB2 201811 62100 4130 1130 130034 1 1DFNB2 201811 7 600 3950 1380 130034 1 1DFNB2 201811 7 900 3890 1480 130034 1 1DFNB2 201811 71200 3840 1560 130034 1 1DFNB2 201811 8 900 3580 2140 130034 1 1DFNB2 201811 81200 3530 2280 130034 1 1DFNB2 201811 82100 3420 2580 130034 1 1DFNB2 201811 9 0 3380 2680 130034 1 1DFNB2 201811 9 600 3300 2870 130034 1 1DFNB2 201811 91200 3230 3040 1300 1 1DFNB2 20181113 0 2130 3780 130034 1 1DFNB2 20181113 300 2040 3820 130034 1 1DFNB2 20181113 600 1960 3860 130044 1 1DFNB2 20181114 0 1550 4150 130034 1 1DFNB2 20181114 300 1480 4190 130034 1 1DFNB2 20181114 600 1400 4230 130034 1 1DFNB2 201811141200 1280 4320 130033 1 1DFNB2 20181115 0 1220 4620 130024 1 1DFNB2 20181115 300 1250 4710 130024 1 1DFNB2 20181115 600 1270 4800 130024 1 1DFNB2 20181116 600 1370 5500 130023 1 1DFNB2 201811161800 1260 5830 130023 1 1DFNB2 20181117 600 1160 6170 130023 1 1DFNB2 20181119 0 770 7400 130023 1 1DFNB2 20181119 300 740 7480 130024 1 1DFNB2 20181119 600 720 7570 130023 1 1DFNB2 201811191200 660 7750 130023 1 1DFNB2 201811191800 610 7920 130023 1 1DFNB2 20181120 300 470 8140 130024 1 1DFNB2 20181120 600 570 8220 130023 1 1DFNB2 201811201200 580 8400 130024 1 1DFNB2 20181122 600 580 9620 130024 1 1DFNB2 201811221200 520 9790 130034 1 1DFNB2 201811221500 460 9870 130034 1 1DFNB2 201811221800 400 9940 130084 1 1DFNB2 20181123 300 240 10160 130034 1 1DFNB2 201811251800 660 10770 130013 1 1DFNB2 20181126 0 770 10840 130013 1 1DFNB2 20181126 300 850 10890 130013 1 1DFNB2 20181126 600 860 10900 130013 1 1DFNB2 201811261200 1000 10980 130013 1 1DFNB2 201811261800 1120 11030 130013 1 1DFNB2 20181127 300 1310 11100 130013 1 1DFNB2 20181127 600 1380 11120 130013 1 1DFNB2 201811271200 1510 11170 130013 1 1DFNB2 201811271800 1630 11220 130013 1 1DFNB2 20181128 0 1760 11280 130013 1 1DFNB2 20181128 300 1820 11310 130013 1 1DFNB2 20181128 600 1880 11330 130083 1 1DFNB2 201811281800 2130 11420 130083 1 1DFNB2 201811291500 2210 11480 130023 1 1DFNB2 201811291800 2220 11550 130023 1 1DFNB2 201811 11800 1860 25590 130034 1 1DGAF 201811 2 0 1760 25720 130034 1 1DGAF 201811 21200 1610 26040 130034 1 1DGAF 201811 21800 1530 26190 130034 1 1DGAF 201811 3 0 1450 26350 130034 1 1DGAF 201811 31200 1300 26650 130034 1 1DGAF 201811 31800 1230 26800 130034 1 1DGAF 201811 4 0 1150 26950 130034 1 1DGAF 201811 41200 1000 27250 130034 1 1DGAF 201811 41800 930 27400 130034 1 1DGAF 201811 5 0 850 27540 130034 1 1DGAF 201811 51200 690 27830 130034 1 1DGAF 201811 6 0 810 28070 130024 1 1DGAF 201811 7 600 980 28120 130022 1 1DGAF 201811 71200 990 28200 130022 1 1DGAF 201811 71800 1000 28270 130022 1 1DGAF 201811 8 0 1010 28340 130022 1 1DGAF 201811 91200 1260 28590 130014 1 1DGAF 201811 91800 1410 28610 130014 1 1DGAF 20181110 0 1560 28820 130014 1 1DGAF 20181110 600 1700 28940 130014 1 1DGAF 201811101200 1820 29030 130014 1 1DGAF 20181112 0 1860 29210 130014 1 1DGAF 20181112 600 1970 29340 130014 1 1DGAF 20181112 900 2020 29410 130014 1 1DGAF 201811121800 2160 29630 130014 1 1DGAF 201811122100 2180 29720 130024 1 1DGAF 20181113 900 2230 30120 130024 1 1DGAF 201811131200 2250 30220 130024 1 1DGAF 201811131800 2270 30430 130024 1 1DGAF 201811132100 2280 30520 130024 1 1DGAF 20181114 600 2320 30830 130024 1 1DGAF 201811141200 2340 31030 130024 1 1DGAF 201811151200 2490 31290 130012 1 1DGAF 201811151800 2530 31360 130012 1 1DGAF 20181116 600 2600 31490 130012 1 1DGAF 201811161200 2650 31580 130012 1 1DGAF 201811171200 2790 31860 130012 1 1DGAF 201811181200 3050 32590 130024 1 1DGAF 20181119 600 3220 33190 130024 1 1DGAF 201811191800 3320 33600 130024 1 1DGAF 20181120 600 3400 34000 130024 1 1DGAF 201811201200 3430 34190 130023 1 1DGAF 20181121 600 3510 34750 130024 1 1DGAF 201811211200 3540 34910 130023 1 1DGAF 201811211800 3540 34940 130000 1 1DGAF 20181122 600 3530 34960 130000 1 1DGAF 201811221800 3580 35220 130022 1 1DGAF 20181124 600 3590 35490 130022 1 1DGAF 201811241200 3620 35710 130024 1 1DGAF 20181125 0 3850 30 130014 1 1DGAF 20181126 600 3900 290 130024 1 1DGAF 201811261200 3890 470 130023 1 1DGAF 20181128 600 4260 990 130083 1 1DGAF 20181128 800 4310 1000 130013 1 1DGAF 201811 61800 2010 25350 130074 1 1DGTX 201811 7 600 2190 25050 130074 1 1DGTX 201811 71800 2380 24770 130074 1 1DGTX 201811 8 600 2640 24550 130074 1 1DGTX 201811 81800 2910 24360 130084 1 1DGTX 201811 6 0 3230 13460 130024 1 1DGWD2 201811 61200 3430 13850 130024 1 1DGWD2 201811 7 0 3620 14250 130014 1 1DGWD2 201811 71200 3840 14620 130014 1 1DGWD2 201811 8 0 4060 15020 130014 1 1DGWD2 201811101800 3790 17690 130024 1 1DGWD2 20181111 900 3680 18210 130024 1 1DGWD2 201811131800 3550 20160 130024 1 1DGWD2 201811151800 4220 21930 130024 1 1DGWD2 20181116 600 4380 22410 130024 1 1DGWD2 20181117 600 4740 23310 130014 1 1DGWD2 20181128 600 5270 21190 130064 1 1DGWD2 201811281800 5350 20590 130064 1 1DGWD2 201811282100 5360 20430 130064 1 1DGWD2 20181129 600 5400 19940 130064 1 1DGWD2 201811291800 5440 19340 130064 1 1DGWD2 20181130 600 5420 18720 130064 1 1DGWD2 201811301800 5410 18060 130064 1 1DGWD2 201811 1 600 3470 28520 130043 1 1DGWE2 201811 11800 3160 28570 130043 1 1DGWE2 201811 2 600 2860 28610 130043 1 1DGWE2 201811 21800 2550 28640 130043 1 1DGWE2 201811 3 600 2250 28670 130043 1 1DGWE2 201811 31800 1950 28570 130054 1 1DGWE2 201811 41200 1530 28330 130054 1 1DGWE2 201811 41800 1370 28250 130054 1 1DGWE2 201811 8 600 690 27910 130064 1 1DGWE2 201811 81200 740 27720 130074 1 1DGWE2 201811 9 0 920 27380 130074 1 1DGWE2 201811 9 600 1010 27210 130074 1 1DGWE2 201811 91800 1190 26850 130074 1 1DGWE2 20181110 600 1360 26510 130074 1 1DGWE2 201811101800 1540 26150 130074 1 1DGWE2 20181111 600 1710 25810 130074 1 1DGWE2 201811111800 1890 25410 130074 1 1DGWE2 20181112 0 1990 25270 130074 1 1DGWE2 20181112 600 2100 25120 130074 1 1DGWE2 201811121200 2220 24960 130074 1 1DGWE2 201811121800 2330 24800 130074 1 1DGWE2 20181113 0 2450 24640 130074 1 1DGWE2 20181113 600 2570 24480 130074 1 1DGWE2 201811131200 2690 24300 130074 1 1DGWE2 201811131800 2820 24120 130074 1 1DGWE2 20181114 0 2940 23950 130074 1 1DGWE2 20181114 600 3060 23770 130074 1 1DGWE2 201811141200 3180 23600 130074 1 1DGWE2 201811141800 3290 23420 130074 1 1DGWE2 20181115 0 3410 23230 130074 1 1DGWE2 20181115 600 3510 23050 130074 1 1DGWE2 201811151200 3620 22860 130074 1 1DGWE2 20181116 0 3820 22470 130074 1 1DGWE2 201811161200 4020 22040 130074 1 1DGWE2 20181117 0 4180 21600 130074 1 1DGWE2 20181118 0 4480 20630 130064 1 1DGWE2 201811181200 4480 20100 130064 1 1DGWE2 201811181800 4470 19840 130064 1 1DGWE2 20181119 0 4450 19620 130064 1 1DGWE2 201811191200 4420 19090 130064 1 1DGWE2 201811191800 4410 18820 130064 1 1DGWE2 20181120 0 4380 18670 130064 1 1DGWE2 20181120 600 4350 18430 130064 1 1DGWE2 201811201800 4600 18040 130074 1 1DGWE2 20181121 0 4720 17830 130074 1 1DGWE2 201811211200 4970 17390 130074 1 1DGWE2 201811211800 5090 17180 130074 1 1DGWE2 20181122 0 5110 16900 130064 1 1DGWE2 201811221200 5020 16380 130054 1 1DGWE2 20181123 0 4840 15950 130054 1 1DGWE2 20181123 600 4740 15710 130054 1 1DGWE2 201811231200 4640 15490 130054 1 1DGWE2 201811231800 4550 15250 130054 1 1DGWE2 20181124 0 4450 15040 130054 1 1DGWE2 20181124 600 4360 14830 130054 1 1DGWE2 201811241200 4270 14600 130054 1 1DGWE2 201811241800 4170 14380 130054 1 1DGWE2 201811251200 3990 13760 130054 1 1DGWE2 20181126 0 3760 13380 130054 1 1DGWE2 20181126 600 3660 13220 130053 1 1DGWE2 201811261200 3590 13110 130053 1 1DGWE2 201811261800 3530 12990 130053 1 1DGWE2 20181129 600 3000 12500 130094 1 1DGWE2 201811 1 0 4580 17160 130024 1 1DGWF2 201811 1 600 4560 17430 130024 1 1DGWF2 201811 11800 4430 17970 130024 1 1DGWF2 201811 12300 4370 18230 130024 1 1DGWF2 201811 21800 4180 19040 130024 1 1DGWF2 201811 3 0 4140 19240 130024 1 1DGWF2 201811 3 600 4100 19510 130024 1 1DGWF2 201811 4 600 4010 20520 130024 1 1DGWF2 201811 41800 3920 21040 130024 1 1DGWF2 201811 5 0 3880 21290 130024 1 1DGWF2 201811 51800 3700 22020 130024 1 1DGWF2 201811 61800 3410 22920 130034 1 1DGWF2 201811 71200 3150 23530 130034 1 1DGWF2 201811 71800 3050 23740 130034 1 1DGWF2 201811 8 0 2940 23920 130034 1 1DGWF2 201811 81200 2710 24280 130034 1 1DGWF2 201811 81800 2580 24460 130034 1 1DGWF2 201811 9 0 2460 24640 130034 1 1DGWF2 201811 91800 2100 25180 130034 1 1DGWF2 201811101800 1680 25880 130034 1 1DGWF2 20181111 0 1590 26070 130034 1 1DGWF2 201811111200 1410 26440 130033 1 1DGWF2 201811111800 1330 26610 130034 1 1DGWF2 20181112 0 1230 26800 130034 1 1DGWF2 201811121200 1060 27140 130034 1 1DGWF2 201811121800 990 27300 130034 1 1DGWF2 20181113 0 890 27470 130034 1 1DGWF2 201811131200 690 27830 130034 1 1DGWF2 20181116 0 1250 28190 130013 1 1DGWF2 201811161200 1520 28350 130013 1 1DGWF2 20181117 0 1800 28500 130013 1 1DGWF2 20181127 0 3520 28510 130043 1 1DGWF2 201811271200 3260 28550 130043 1 1DGWF2 201811281200 2700 28620 130044 1 1DGWF2 20181129 0 2400 28660 130044 1 1DGWF2 201811291800 1950 28570 130053 1 1DGWF2 201811 11800 3710 28560 130044 1 1DGXS 201811 2 600 3410 28350 130054 1 1DGXS 201811 21800 3200 28000 130054 1 1DGXS 20181111 600 4390 29850 130024 1 1DGXS 201811111800 4290 30330 130024 1 1DGXS 201811121800 4090 31280 130024 1 1DGXS 20181113 0 4040 31500 130024 1 1DGXS 20181113 600 3990 31730 130024 1 1DGXS 201811131200 3940 31960 130024 1 1DGXS 201811131800 3880 32190 130024 1 1DGXS 20181114 0 3850 32370 130024 1 1DGXS 20181114 600 3790 32590 130024 1 1DGXS 201811141200 3730 32800 130024 1 1DGXS 20181115 900 3670 33570 130024 1 1DGXS 201811151200 3660 33690 130024 1 1DGXS 201811151800 3650 33900 130024 1 1DGXS 201811161200 3630 34530 130024 1 1DGXS 201811161800 3610 34760 130024 1 1DGXS 201811171800 3620 35680 130024 1 1DGXS 20181118 600 3680 150 130024 1 1DGXS 201811181800 3730 590 130024 1 1DGXS 20181119 0 3730 830 130024 1 1DGXS 201811191200 3680 1300 130024 1 1DGXS 20181120 0 3580 1750 130024 1 1DGXS 20181120 600 3530 1960 130024 1 1DGXS 201811201200 3480 2170 130024 1 1DGXS 20181121 0 3370 2600 130024 1 1DGXS 201811211200 3230 3010 130024 1 1DGXS 20181123 0 2740 3410 130034 1 1DGXS 201811231200 2420 3610 130034 1 1DGXS 20181124 0 2120 3780 130034 1 1DGXS 20181124 300 2050 3820 130034 1 1DGXS 20181124 600 1970 3870 130034 1 1DGXS 201811241200 1810 3950 130034 1 1DGXS 20181125 0 1540 4150 130034 1 1DGXS 20181125 600 1390 4230 130034 1 1DGXS 201811251200 1270 4320 130034 1 1DGXS 20181126 0 1230 4650 130024 1 1DGXS 20181126 300 1260 4730 130024 1 1DGXS 20181126 600 1280 4820 130024 1 1DGXS 201811261200 1340 5000 130024 1 1DGXS 20181127 0 1460 5340 130014 1 1DGXS 20181127 300 1510 5410 130014 1 1DGXS 20181127 600 1560 5480 130014 1 1DGXS 201811271200 1670 5630 130014 1 1DGXS 20181128 0 1940 5860 130014 1 1DGXS 20181128 600 2110 5960 130014 1 1DGXS 201811281200 2260 6000 130073 1 1DGXS 201811291200 2570 5690 130084 1 1DGXS 201811 1 0 570 8190 130024 1 1DGZL 201811 1 100 570 8230 130024 1 1DGZL 201811 1 200 570 8250 130024 1 1DGZL 201811 11100 590 8530 130024 1 1DGZL 201811 11200 590 8550 130024 1 1DGZL 201811 12300 600 8840 130024 1 1DGZL 201811 2 0 600 8870 130024 1 1DGZL 201811 2 100 600 8900 130023 1 1DGZL 201811 21100 610 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20181120 900 2860 30660 130014 1 1DJPZ2 201811201200 2910 30750 130014 1 1DJPZ2 201811201500 2960 30840 130014 1 1DJPZ2 201811201800 3010 30930 130014 1 1DJPZ2 201811202100 3060 31020 130014 1 1DJPZ2 20181121 0 3110 31110 130014 1 1DJPZ2 20181121 600 3200 31310 130014 1 1DJPZ2 20181121 900 3250 31400 130014 1 1DJPZ2 201811211200 3290 31490 130014 1 1DJPZ2 201811211500 3340 31600 130014 1 1DJPZ2 201811211800 3380 31690 130014 1 1DJPZ2 201811212100 3430 31790 130014 1 1DJPZ2 20181122 0 3460 31880 130014 1 1DJPZ2 20181122 300 3510 32000 130014 1 1DJPZ2 20181122 600 3550 32100 130014 1 1DJPZ2 20181122 900 3560 32200 130014 1 1DJPZ2 201811221200 3630 32300 130014 1 1DJPZ2 201811221800 3710 32530 130014 1 1DJPZ2 201811222100 3740 32630 130014 1 1DJPZ2 20181123 300 3810 32850 130014 1 1DJPZ2 20181123 600 3840 32960 130024 1 1DJPZ2 20181123 900 3870 33070 130024 1 1DJPZ2 201811231200 3880 33170 130014 1 1DJPZ2 201811231500 3940 33250 130014 1 1DJPZ2 201811232100 4050 33430 130014 1 1DJPZ2 20181124 0 4110 33530 130014 1 1DJPZ2 20181124 300 4170 33630 130014 1 1DJPZ2 20181124 600 4220 33730 130014 1 1DJPZ2 20181124 900 4270 33820 130014 1 1DJPZ2 201811241200 4320 33920 130014 1 1DJPZ2 201811241500 4380 34040 130014 1 1DJPZ2 201811241800 4430 34140 130014 1 1DJPZ2 201811242100 4480 34240 130014 1 1DJPZ2 20181125 0 4530 34350 130014 1 1DJPZ2 20181125 300 4580 34470 130014 1 1DJPZ2 20181125 600 4630 34580 130014 1 1DJPZ2 20181125 900 4670 34700 130014 1 1DJPZ2 201811251200 4720 34820 130014 1 1DJPZ2 201811251800 4800 35060 130014 1 1DJPZ2 201811252100 4840 35180 130014 1 1DJPZ2 20181126 300 4910 35400 130014 1 1DJPZ2 20181126 600 4940 35520 130024 1 1DJPZ2 20181126 900 4970 35650 130024 1 1DJPZ2 201811261200 4990 35780 130024 1 1DJPZ2 201811261500 5010 35900 130013 1 1DJPZ2 201811261800 5030 0 130024 1 1DJPZ2 201811262100 5060 110 130024 1 1DJPZ2 20181127 0 5120 190 130014 1 1DJPZ2 20181127 300 5180 290 130014 1 1DJPZ2 201811281800 5200 330 130062 1 1DJPZ2 201811282100 5170 220 130053 1 1DJPZ2 20181129 0 5170 180 130083 1 1DJPZ2 201811301800 5250 360 130013 1 1DJPZ2 201811302100 5300 430 130013 1 1DJPZ2 201811 1 600 1020 28360 130064 1 1DJQA2 201811 3 600 760 28060 130043 1 1DJQA2 201811 31800 470 28210 130032 1 1DJQA2 201811 5 600 340 28230 130054 1 1DJQA2 201811 51800 90 27990 130054 1 1DJQA2 201811 6 600 -150 27890 130043 1 1DJQA2 201811 61200 -260 27870 130043 1 1DJQA2 201811 61800 -370 27870 130043 1 1DJQA2 201811 7 600 -590 27870 130043 1 1DJQA2 201811 71200 -700 27930 130033 1 1DJQA2 201811 71800 -800 27990 130033 1 1DJQA2 201811 8 0 -890 28050 130033 1 1DJQA2 201811 8 600 -990 28110 130033 1 1DJQA2 20181111 600-1400 28320 130044 1 1DJQA2 201811111800-1720 28410 130044 1 1DJQA2 20181112 600-2040 28490 130044 1 1DJQA2 201811121200-2150 28520 130043 1 1DJQA2 201811121800-2280 28560 130043 1 1DJQA2 20181113 600-2510 28620 130043 1 1DJQA2 201811131200-2620 28650 130043 1 1DJQA2 201811131800-2740 28680 130043 1 1DJQA2 20181114 0-2850 28710 130043 1 1DJQA2 20181114 600-2970 28750 130043 1 1DJQA2 201811141200-3080 28780 130043 1 1DJQA2 201811141800-3200 28810 130043 1 1DJQA2 20181117 600-3090 28780 130084 1 1DJQA2 201811171200-2920 28730 130084 1 1DJQA2 201811171800-2720 28680 130084 1 1DJQA2 20181118 0-2510 28620 130084 1 1DJQA2 20181118 600-2330 28570 130084 1 1DJQA2 201811181800-2000 28480 130084 1 1DJQA2 20181119 600-1690 28400 130084 1 1DJQA2 201811191200-1530 28360 130084 1 1DJQA2 201811191800-1380 28320 130083 1 1DJQA2 201811211200-1130 28210 130074 1 1DJQA2 201811211900 -960 28090 130074 1 1DJQA2 20181122 600 -630 27890 130074 1 1DJQA2 201811221200 -450 27870 130084 1 1DJQA2 201811221800 -240 27880 130084 1 1DJQA2 20181123 600 100 28000 130014 1 1DJQA2 201811231800 360 28260 130014 1 1DJQA2 20181125 600 440 28220 130074 1 1DJQA2 201811251800 790 28070 130074 1 1DJQA2 20181126 600 880 28060 130000 1 1DJQA2 201811271800 980 28090 130024 1 1DJQA2 20181128 600 1020 28390 130023 1 1DJQA2 201811291200 1100 28470 130014 1 1DJQA2 201811291800 1260 28590 130014 1 1DJQA2 201811 1 0 -630 27880 130074 1 1DJQB2 201811 11200 -250 27850 130084 1 1DJQB2 201811 2 0 110 27980 130014 1 1DJQB2 201811 21200 360 28230 130014 1 1DJQB2 201811 41200 590 28150 130074 1 1DJQB2 201811 9 0 1340 28660 130014 1 1DJQB2 201811111200 1990 29350 130014 1 1DJQB2 201811111800 2110 29510 130014 1 1DJQB2 20181112 0 2230 29670 130014 1 1DJQB2 20181112 600 2310 29860 130014 1 1DJQB2 20181112 900 2350 29950 130014 1 1DJQB2 201811121200 2390 30040 130014 1 1DJQB2 201811121800 2470 30230 130014 1 1DJQB2 20181113 600 2630 30610 130014 1 1DJQB2 20181113 900 2670 30710 130014 1 1DJQB2 201811131200 2700 30820 130024 1 1DJQB2 201811131800 2760 31030 130024 1 1DJQB2 201811132100 2790 31140 130024 1 1DJQB2 20181114 0 2820 31250 130024 1 1DJQB2 20181114 600 2870 31470 130024 1 1DJQB2 20181114 900 2900 31590 130024 1 1DJQB2 201811141200 2930 31690 130024 1 1DJQB2 20181115 900 3130 32470 130024 1 1DJQB2 201811151200 3150 32590 130024 1 1DJQB2 20181116 0 3240 33060 130024 1 1DJQB2 20181116 600 3270 33310 130025 1 1DJQB2 201811161200 3300 33550 130025 1 1DJQB2 20181117 0 3360 34050 130025 1 1DJQB2 20181117 600 3390 34300 130025 1 1DJQB2 201811191800 4790 35370 130014 1 1DJQB2 20181120 600 5000 35810 130024 1 1DJQB2 201811201800 5120 190 130013 1 1DJQB2 20181127 600 5320 440 130053 1 1DJQB2 20181129 600 5130 190 130052 1 1DJQB2 201811291200 5070 90 130052 1 1DJQB2 201811291800 4990 35970 130043 1 1DJQB2 20181130 0 4960 35980 130000 1 1DJQB2 201811301200 4960 35980 130000 1 1DJQB2 201811 6 900 5380 700 130023 1 1DJQC2 201811 9 900 5380 650 130064 1 1DJQC2 201811112100 5060 80 130053 1 1DJQC2 201811121800 4890 35420 130052 1 1DJQC2 201811122100 4870 35360 130052 1 1DJQC2 20181113 600 4740 35240 130053 1 1DJQC2 20181113 900 4680 35180 130053 1 1DJQC2 201811131800 4530 34930 130053 1 1DJQC2 20181114 0 4430 34780 130053 1 1DJQC2 20181114 600 4330 34640 130053 1 1DJQC2 201811141200 4230 34500 130053 1 1DJQC2 201811141800 4120 34360 130053 1 1DJQC2 20181115 0 4010 34220 130054 1 1DJQC2 20181115 600 3880 34080 130054 1 1DJQC2 201811151200 3760 33950 130054 1 1DJQC2 201811151800 3620 33810 130054 1 1DJQC2 20181116 0 3510 33690 130053 1 1DJQC2 20181116 600 3390 33570 130053 1 1DJQC2 201811161200 3290 33480 130053 1 1DJQC2 201811161800 3140 33480 130043 1 1DJQC2 20181117 0 3000 33410 130054 1 1DJQC2 201811171200 2750 33180 130064 1 1DJQC2 20181118 0 2650 32840 130064 1 1DJQC2 20181118 600 2600 32670 130064 1 1DJQC2 201811181800 2480 32320 130064 1 1DJQC2 201811182100 2450 32230 130064 1 1DJQC2 20181119 0 2430 32140 130064 1 1DJQC2 20181119 300 2400 32050 130064 1 1DJQC2 20181119 600 2370 31960 130064 1 1DJQC2 20181119 900 2340 31870 130064 1 1DJQC2 201811191200 2310 31790 130064 1 1DJQC2 201811191800 2260 31610 130064 1 1DJQC2 201811192100 2230 31520 130064 1 1DJQC2 20181120 0 2200 31440 130064 1 1DJQC2 20181120 300 2170 31350 130064 1 1DJQC2 20181120 600 2150 31270 130064 1 1DJQC2 201811201500 2060 31010 130064 1 1DJQC2 201811201800 2030 30920 130064 1 1DJQC2 20181121 300 1940 30660 130064 1 1DJQC2 20181121 600 1920 30570 130064 1 1DJQC2 201811211500 1830 30320 130064 1 1DJQC2 20181122 300 1720 29990 130064 1 1DJQC2 20181122 600 1690 29910 130064 1 1DJQC2 201811221500 1610 29660 130064 1 1DJQC2 20181123 300 1470 29280 130064 1 1DJQC2 20181123 600 1430 29260 130054 1 1DJQC2 201811231500 1330 29020 130054 1 1DJQC2 201811231800 1300 28930 130054 1 1DJQC2 20181124 300 1200 28690 130054 1 1DJQC2 20181126 600 1020 28380 130063 1 1DJQC2 201811261800 980 28110 130064 1 1DJQC2 20181128 300 830 28060 130043 1 1DJQC2 20181128 600 770 28060 130043 1 1DJQC2 201811281500 540 28170 130034 1 1DJQC2 20181130 300 180 28070 130054 1 1DJQC2 20181130 600 120 28010 130054 1 1DJQC2 201811301500 -80 27910 130053 1 1DJQC2 20181125 0-2500 31970 130033 1 1DJQD2 201811251200-2660 32270 130034 1 1DJQD2 20181126 0-2810 32590 130034 1 1DJQD2 201811211500 1920 25440 130000 1 1DMRX 20181129 300 990 28170 130024 1 1DMRX 201811 81200 1310 5790 130024 1 1DPCK 20181110 0 1030 6860 130024 1 1DPCK 201811101200 930 7210 130024 1 1DPCK 20181130 0 3250 12740 130000 1 1DPCK 201811 21800-2400 31600 130024 1 1ELQQ4 201811 3 600-2350 31940 130024 1 1ELQQ4 201811 31200-2220 32060 130014 1 1ELQQ4 201811 31800-2080 32130 130084 1 1ELQQ4 201811 41800-1470 32340 130084 1 1ELQQ4 201811 5 600-1160 32440 130084 1 1ELQQ4 201811 51800 -850 32540 130084 1 1ELQQ4 201811 6 600 -510 32520 130084 1 1ELQQ4 201811 61800 -300 32260 130074 1 1ELQQ4 201811 7 600 -100 31980 130074 1 1ELQQ4 201811 71800 90 31700 130074 1 1ELQQ4 201811 8 600 300 31410 130074 1 1ELQQ4 201811 81900 510 31110 130074 1 1ELQQ4 201811 9 600 690 30850 130074 1 1ELQQ4 201811 91800 890 30560 130074 1 1ELQQ4 20181110 600 1080 30290 130074 1 1ELQQ4 201811101800 1280 30010 130074 1 1ELQQ4 20181111 600 1460 29710 130074 1 1ELQQ4 201811111800 1640 29400 130074 1 1ELQQ4 20181112 600 1870 29170 130074 1 1ELQQ4 201811121800 2020 28860 130064 1 1ELQQ4 20181113 600 2120 28510 130064 1 1ELQQ4 201811131800 2250 28200 130074 1 1ELQQ4 20181114 600 2360 27860 130064 1 1ELQQ4 201811141800 2490 27690 130082 1 1ELQQ4 20181119 600 2420 27770 130024 1 1ELQQ4 201811191800 2640 28030 130084 1 1ELQQ4 20181120 600 3010 28050 130084 1 1ELQQ4 201811201800 3290 28310 130014 1 1ELQQ4 20181121 600 3580 28540 130084 1 1ELQQ4 20181129 600 3460 29050 130034 1 1ELQQ4 201811291800 3180 29320 130034 1 1ELQQ4 201811301800 2610 29860 130034 1 1ELQQ4 201811 1 0 4770 35660 130000 1 1FVNM 201811 1 100 4770 35660 130000 1 1FVNM 201811 1 200 4770 35660 130000 1 1FVNM 201811 1 300 4770 35660 130000 1 1FVNM 201811 1 400 4770 35660 130000 1 1FVNM 201811 1 500 4770 35660 130000 1 1FVNM 201811 1 600 4770 35660 130000 1 1FVNM 201811 1 700 4770 35660 130000 1 1FVNM 201811 1 800 4770 35660 130000 1 1FVNM 201811 1 900 4770 35660 130000 1 1FVNM 201811 11000 4770 35660 130000 1 1FVNM 201811 11100 4770 35660 130000 1 1FVNM 201811 11200 4770 35660 130000 1 1FVNM 201811 11300 4770 35660 130000 1 1FVNM 201811 11400 4770 35660 130000 1 1FVNM 201811 11500 4770 35660 130000 1 1FVNM 201811 11600 4770 35660 130000 1 1FVNM 201811 11700 4770 35660 130000 1 1FVNM 201811 11800 4770 35660 130000 1 1FVNM 201811 11900 4770 35660 130000 1 1FVNM 201811 12000 4770 35660 130000 1 1FVNM 201811 12100 4770 35660 130000 1 1FVNM 201811 12200 4770 35660 130000 1 1FVNM 201811 12300 4770 35660 130000 1 1FVNM 201811 2 0 4770 35660 130000 1 1FVNM 201811 2 100 4770 35660 130000 1 1FVNM 201811 2 200 4770 35660 130000 1 1FVNM 201811 2 300 4770 35660 130000 1 1FVNM 201811 2 400 4770 35660 130000 1 1FVNM 201811 2 500 4770 35660 130000 1 1FVNM 201811 2 600 4770 35660 130000 1 1FVNM 201811 2 700 4770 35660 130000 1 1FVNM 201811 2 800 4770 35660 130000 1 1FVNM 201811 2 900 4770 35660 130000 1 1FVNM 201811 21000 4770 35660 130000 1 1FVNM 201811 21100 4770 35660 130000 1 1FVNM 201811 21200 4770 35660 130000 1 1FVNM 201811 21300 4770 35660 130000 1 1FVNM 201811152300 5060 35940 130061 1 1GHJV 201811161100 5050 35820 130052 1 1GHJV 20181117 500 5010 35730 130052 1 1GHJV 201811172100 4920 35490 130052 1 1GHJV 201811181000 4830 35340 130051 1 1GHJV 201811182200 4690 35290 130042 1 1GHJV 201811191300 4510 35230 130042 1 1GHJV 201811192000 4440 35180 130052 1 1GHJV 201811201100 4300 35060 130042 1 1GHJV 201811211100 4220 35130 130000 1 1GHJV 201811211500 4220 35130 130011 1 1GHJV 20181122 700 4220 35130 130000 1 1GHJV 201811231500 4210 35080 130061 1 1GHJV 201811232000 4160 35070 130042 1 1GHJV 201811241100 4060 35010 130052 1 1GHJV 201811242200 4030 35010 130051 1 1GHJV 20181125 400 3990 34960 130022 1 1GHJV 20181125 700 3950 34930 130052 1 1GHJV 201811251100 3930 34900 130051 1 1GHJV 201811252000 3860 34900 130032 1 1GHJV 20181126 900 3720 34970 130042 1 1GHJV 201811262100 3630 35070 130022 1 1GHJV 20181127 300 3620 35120 130021 1 1GHJV 201811271000 3610 35220 130022 1 1GHJV 201811271500 3600 35270 130022 1 1GHJV 201811272200 3590 35370 130022 1 1GHJV 201811 1 400 1650 27270 130063 1 1H3VS 201811 2 300 1820 27300 130014 1 1H3VS 201811 2 600 1900 27310 130084 1 1H3VS 201811 21000 2010 27290 130084 1 1H3VS 201811 22300 2080 27330 130013 1 1H3VS 201811 3 300 2160 27380 130013 1 1H3VS 201811 31100 2350 27490 130014 1 1H3VS 201811 31200 2400 27510 130084 1 1H3VS 201811 4 400 2670 27660 130013 1 1H3VS 201811 5 800 2560 27630 130044 1 1H3VS 201811 51000 2500 27610 130043 1 1H3VS 201811 51600 2370 27570 130043 1 1H3VS 201811 6 0 2220 27490 130054 1 1H3VS 201811 6 400 2130 27430 130054 1 1H3VS 201811 61100 2060 27320 130053 1 1H3VS 201811 7 400 1870 27310 130044 1 1H3VS 201811 8 400 1670 27280 130033 1 1H3VS 201811 9 400 1750 27580 130014 1 1H3VS 201811 91200 1890 27800 130014 1 1H3VS 20181110 400 2020 27720 130074 1 1H3VS 201811101100 2180 27500 130084 1 1H3VS 20181111 400 2650 27650 130014 1 1H3VS 201811121600 2370 27620 130043 1 1H3VS 20181113 400 2140 27430 130054 1 1H3VS 20181113 800 2070 27370 130063 1 1H3VS 201811131100 2060 27310 130063 1 1H3VS 20181114 500 1860 27310 130044 1 1H3VS 201811141000 1760 27210 130054 1 1H3VS 20181115 300 1790 27250 130013 1 1H3VS 201811151000 1880 27270 130053 1 1H3VS 20181116 400 2020 27340 130014 1 1H3VS 201811161000 2200 27430 130014 1 1H3VS 201811181200 2490 27610 130043 1 1H3VS 201811191000 2060 27320 130063 1 1H3VS 201811231100 1860 27750 130014 1 1H3VS 201811261300 2390 27560 130044 1 1H3VS 201811 1 600 2020 27520 130064 1 1H3WI 201811 1 600 2020 28360 130064 1 1H3WI 201811 1 700 2030 27510 130065 1 1H3WI 201811 1 900 2050 27420 130065 1 1H3WI 201811 1 900 2060 27410 130064 1 1H3WI 201811 12300 2050 27310 130014 1 1H3WI 201811 2 100 2100 27340 130014 1 1H3WI 201811 2 700 2220 27480 130014 1 1H3WI 201811 2 700 2230 27490 130014 1 1H3WI 201811 21000 2280 27560 130014 1 1H3WI 201811 21200 2310 27610 130014 1 1H3WI 201811 21500 2340 27700 130024 1 1H3WI 201811 21700 2350 27770 130024 1 1H3WI 201811 21700 2350 27780 130024 1 1H3WI 201811 22100 2370 27870 130024 1 1H3WI 201811 22200 2400 27910 130014 1 1H3WI 201811 3 100 2450 27980 130014 1 1H3WI 201811 3 600 2550 28020 130083 1 1H3WI 201811 3 600 2560 28010 130073 1 1H3WI 201811 32200 2580 28020 130024 1 1H3WI 201811 32300 2600 28050 130014 1 1H3WI 201811 4 400 2600 28170 130023 1 1H3WI 201811 4 700 2580 28230 130023 1 1H3WI 201811 4 800 2570 28260 130023 1 1H3WI 201811 4 900 2570 28300 130023 1 1H3WI 201811 41200 2560 28370 130033 1 1H3WI 201811 41300 2540 28400 130033 1 1H3WI 201811 41600 2500 28480 130034 1 1H3WI 201811 41900 2450 28550 130034 1 1H3WI 201811 41900 2460 28540 130034 1 1H3WI 201811 42000 2440 28570 130034 1 1H3WI 201811 42100 2420 28600 130034 1 1H3WI 201811 5 0 2360 28660 130034 1 1H3WI 201811 5 0 2360 28670 130034 1 1H3WI 201811 5 600 2250 28780 130034 1 1H3WI 201811 5 700 2230 28810 130034 1 1H3WI 201811 5 800 2220 28830 130034 1 1H3WI 201811 5 900 2190 28850 130034 1 1H3WI 201811 5 900 2190 28860 130033 1 1H3WI 201811 51100 2160 28880 130043 1 1H3WI 201811 52100 2130 28880 130064 1 1H3WI 201811 52200 2110 28870 130054 1 1H3WI 201811 6 0 2070 28910 130034 1 1H3WI 201811 6 100 2060 28920 130034 1 1H3WI 201811 6 200 2030 28970 130034 1 1H3WI 201811 6 600 1990 29070 130034 1 1H3WI 201811 6 700 1970 29110 130034 1 1H3WI 201811 6 700 1980 29090 130034 1 1H3WI 201811 6 800 1950 29150 130034 1 1H3WI 201811 6 800 1960 29130 130034 1 1H3WI 201811 61000 2940 29190 130034 1 1H3WI 201811 61100 1920 29230 130034 1 1H3WI 201811 61200 1900 29270 130034 1 1H3WI 201811 61300 1890 29300 130034 1 1H3WI 201811 7 400 1840 29480 130034 1 1H3WI 201811 7 600 1810 29500 130024 1 1H3WI 201811 7 700 1810 29550 130024 1 1H3WI 201811 7 800 1800 29580 130024 1 1H3WI 201811 7 900 1800 29600 130024 1 1H3WI 201811 71000 1780 29640 130034 1 1H3WI 201811 71000 1790 29630 130024 1 1H3WI 201811 71300 1730 29700 130024 1 1H3WI 201811 8 300 1690 29710 130062 1 1H3WI 201811 82300 1800 29680 130074 1 1H3WI 201811 9 0 1830 29660 130074 1 1H3WI 201811 9 300 1910 29590 130074 1 1H3WI 201811 9 600 1940 29540 130074 1 1H3WI 201811 9 600 1950 29510 130074 1 1H3WI 201811 9 700 1970 29480 130074 1 1H3WI 201811 9 800 1980 29460 130074 1 1H3WI 201811 9 800 1980 29470 130074 1 1H3WI 201811 9 900 1990 29450 130074 1 1H3WI 201811 9 900 2000 29430 130074 1 1H3WI 201811 91000 2010 29410 130074 1 1H3WI 201811 91000 2020 29400 130074 1 1H3WI 201811 91100 2030 29380 130074 1 1H3WI 201811 91200 2040 29350 130074 1 1H3WI 201811 91300 2050 29340 130074 1 1H3WI 201811 91800 2130 29190 130074 1 1H3WI 201811 91900 2140 29170 130074 1 1H3WI 201811 91900 2150 29150 130074 1 1H3WI 201811 92000 2160 29130 130074 1 1H3WI 201811 92000 2170 29120 130074 1 1H3WI 201811 92100 2180 29090 130074 1 1H3WI 201811 92200 2200 29060 130074 1 1H3WI 20181110 100 2230 28990 130074 1 1H3WI 20181110 500 2300 28880 130074 1 1H3WI 20181110 600 2310 28850 130074 1 1H3WI 20181110 700 2340 28790 130074 1 1H3WI 20181110 700 2340 28800 130074 1 1H3WI 20181110 800 2350 28770 130074 1 1H3WI 20181110 900 2070 28730 130074 1 1H3WI 20181110 900 2360 28760 130074 1 1H3WI 201811101000 2370 28720 130074 1 1H3WI 201811101100 2400 28690 130074 1 1H3WI 201811101200 2410 28660 130074 1 1H3WI 201811101800 2500 28480 130074 1 1H3WI 201811101900 2520 28450 130074 1 1H3WI 201811102000 2540 28420 130074 1 1H3WI 201811102000 2550 28400 130074 1 1H3WI 201811102200 2560 28360 130074 1 1H3WI 201811102200 2570 28340 130074 1 1H3WI 201811102200 2570 28350 130064 1 1H3WI 201811102300 2570 28310 130064 1 1H3WI 20181111 0 2570 28270 130064 1 1H3WI 20181111 100 2580 28230 130074 1 1H3WI 20181111 100 2580 28250 130064 1 1H3WI 20181111 200 2590 28200 130074 1 1H3WI 20181111 700 2620 28050 130054 1 1H3WI 20181111 800 2600 28040 130054 1 1H3WI 20181111 900 2580 28010 130064 1 1H3WI 20181111 900 2580 28020 130065 1 1H3WI 201811112200 2570 28000 130023 1 1H3WI 201811112300 2540 28040 130044 1 1H3WI 201811112300 2560 28020 130034 1 1H3WI 20181112 600 2330 28080 130044 1 1H3WI 20181112 600 2340 28080 130044 1 1H3WI 20181112 700 2300 28090 130044 1 1H3WI 20181112 800 2280 28110 130034 1 1H3WI 20181112 800 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20181118 400 2700 24860 1300 1 1KAQP 20181118 500 2700 24860 1300 1 1KAQP 20181118 600 2700 24860 1300 1 1KAQP 20181118 700 2700 24860 1300 1 1KAQP 20181118 800 2700 24860 1300 1 1KAQP 20181118 900 2700 24860 1300 1 1KAQP 201811181000 2700 24860 1300 1 1KAQP 201811181100 2700 24860 1300 1 1KAQP 201811181200 2700 24860 1300 1 1KAQP 201811181300 2700 24860 1300 1 1KAQP 201811181400 2700 24860 1300 1 1KAQP 201811181500 2700 24860 1300 1 1KAQP 201811181600 2700 24860 1300 1 1KAQP 201811181700 2700 24860 1300 1 1KAQP 201811181800 2700 24860 1300 1 1KAQP 201811181900 2700 24860 1300 1 1KAQP 201811182000 2700 24860 1300 1 1KAQP 201811182100 2700 24860 1300 1 1KAQP 201811182200 2700 24860 1300 1 1KAQP 201811182300 2700 24860 1300 1 1KAQP 20181119 0 2700 24860 1300 1 1KAQP 20181119 100 2700 24860 1300 1 1KAQP 20181119 200 2700 24860 1300 1 1KAQP 20181119 300 2700 24860 1300 1 1KAQP 20181119 400 2700 24860 1300 1 1KAQP 20181119 500 2700 24860 1300 1 1KAQP 20181119 600 2700 24860 1300 1 1KAQP 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980 28070 130063 1 1PCHM 20181123 900 970 28050 130064 1 1PCHM 201811231200 930 28010 130042 1 1PCHM 201811231300 920 28010 130000 1 1PCHM 201811231400 920 28010 130000 1 1PCHM 201811231600 910 28020 130092 1 1PCHM 201811232200 880 28050 130093 1 1PCHM 201811232300 870 28060 130042 1 1PCHM 20181124 100 830 28060 130043 1 1PCHM 20181124 700 710 28000 130043 1 1PCHM 20181124 900 690 27950 130064 1 1PCHM 201811241100 690 27900 130063 1 1PCHM 201811241200 690 27870 130063 1 1PCHM 201811241300 690 27850 130063 1 1PCHM 201811241400 690 27850 130063 1 1PCHM 201811241600 710 27780 130063 1 1PCHM 201811241600 780 27790 130073 1 1PCHM 201811241700 800 27680 130073 1 1PCHM 201811241900 750 27730 130073 1 1PCHM 201811242000 770 27710 130073 1 1PCHM 201811242200 800 27680 130073 1 1PCHM 201811242300 810 27660 130073 1 1PCHM 20181125 100 840 27630 130073 1 1PCHM 20181125 200 850 27610 130073 1 1PCHM 20181125 300 870 27600 130073 1 1PCHM 20181125 400 890 27580 130073 1 1PCHM 20181125 500 910 27570 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1PCIH 201811 8 0 1030 28400 130054 1 1PCIH 201811 8 300 950 28350 130054 1 1PCIH 201811 8 600 860 28300 130044 1 1PCIH 201811101500 870 28300 130084 1 1PCIH 201811101800 950 28350 130014 1 1PCIH 201811102100 1030 28400 130014 1 1PCIH 20181111 0 1100 28460 130024 1 1PCIH 20181111 300 1120 28550 130024 1 1PCIH 20181112 300 1190 28570 130084 1 1PCIH 20181112 600 1290 28570 130084 1 1PCIH 20181112 900 1390 28560 130084 1 1PCIH 201811121200 1490 28550 130084 1 1PCIH 201811121500 1590 28540 130084 1 1PCIH 201811121800 1680 28530 130084 1 1PCIH 201811122100 1780 28530 130084 1 1PCIH 20181113 0 1880 28560 130014 1 1PCIH 20181113 300 1960 28620 130014 1 1PCIH 20181113 600 2010 28700 130024 1 1PCIH 20181115 900 2010 28830 130014 1 1PCIH 201811151200 2080 28890 130014 1 1PCIH 201811151500 2160 28950 130014 1 1PCIH 201811151800 2230 29020 130014 1 1PCIH 201811152100 2280 29100 130014 1 1PCIH 20181116 0 2320 29180 130014 1 1PCIH 20181116 300 2360 29270 130014 1 1PCIH 20181116 600 2410 29360 130014 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35740 130024 1 1PCIH 20181124 300 5000 35870 130024 1 1PCIH 20181124 600 5030 0 130024 1 1PCIH 201811 4 200 2640 27640 130014 1 1PDGS 201811271300 2140 27490 130045 1 1PDGS 201811272200 1890 27410 130054 1 1PDGS 201811 1 0 1300 4860 130025 1 1PDHO 201811 11200 1470 5250 130015 1 1PDHO 201811 31800 1930 5840 130014 1 1PDHO 201811 41800 2500 5780 130074 1 1PDHO 201811 91800 2360 6220 130024 1 1PDHO 20181110 0 2290 6390 130024 1 1PDHO 20181117 0 2270 6320 130073 1 1PDHO 20181118 0 2530 5780 130073 1 1PDHO 201811181200 2610 5570 130053 1 1PDHO 20181120 0 2540 5730 130033 1 1PDHO 20181121 0 2060 5930 130053 1 1PDHO 20181123 0 1580 5310 130054 1 1PDHO 201811231200 1390 5120 130064 1 1PDHO 201811 12100 1870 7040 130074 1 1PDHP 201811 2 900 2030 6740 130074 1 1PDHP 201811 3 300 2260 6320 130074 1 1PDHP 20181112 0 1850 3980 130074 1 1PDHP 201811121200 2160 3800 130074 1 1PDHP 20181113 0 2470 3610 130074 1 1PDHP 201811171200 3440 2890 130074 1 1PDHP 20181118 300 3770 2560 130074 1 1PDHP 20181123 0 4310 2980 130033 1 1PDHP 201811261200 4590 3080 130043 1 1PDHP 201811261500 4500 3060 130043 1 1PDHP 201811271500 4410 2880 130000 1 1PDHP 201811272100 4410 2880 130000 1 1PDHP 201811281500 4410 2880 130000 1 1PDHP 20181129 0 4410 2880 130000 1 1PDHP 20181129 300 4410 2880 130000 1 1PDHP 201811 1 0 3610 35460 1300 1 1PDHW 201811 1 100 3610 35460 1300 1 1PDHW 201811 1 200 3610 35460 1300 1 1PDHW 201811 1 300 3610 35460 1300 1 1PDHW 201811 1 400 3610 35460 1300 1 1PDHW 201811 1 500 3610 35460 1300 1 1PDHW 201811 1 600 3610 35460 1300 1 1PDHW 201811 1 700 3610 35460 1300 1 1PDHW 201811 1 800 3610 35460 1300 1 1PDHW 201811 1 900 3610 35460 1300 1 1PDHW 201811 11000 3610 35460 1300 1 1PDHW 201811 11100 3610 35460 1300 1 1PDHW 201811 11600 3610 35460 1300 1 1PDHW 201811 11700 3610 35460 1300 1 1PDHW 201811 11900 3610 35460 1300 1 1PDHW 201811 12300 3610 35460 1300 1 1PDHW 201811 2 0 3610 35460 1300 1 1PDHW 201811 2 100 3610 35460 1300 1 1PDHW 201811 2 200 3610 35460 1300 1 1PDHW 201811 2 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130000 1 1VCJM 201811 5 800 4840 27080 130000 1 1VCJM 201811 5 900 4840 27080 130000 1 1VCJM 201811 51000 4840 27080 130000 1 1VCJM 201811 51100 4840 27080 130000 1 1VCJM 201811 51200 4840 27080 130000 1 1VCJM 201811 51300 4840 27080 130000 1 1VCJM 201811 51400 4840 27080 130000 1 1VCJM 201811 51500 4840 27080 130000 1 1VCJM 201811 51600 4840 27080 130000 1 1VCJM 201811 51700 4840 27080 130000 1 1VCJM 201811 51800 4840 27090 130021 1 1VCJM 201811 51900 4830 27110 130031 1 1VCJM 201811 52000 4820 27140 130022 1 1VCJM 201811 52100 4820 27170 130022 1 1VCJM 201811 52200 4810 27190 130022 1 1VCJM 201811 52300 4790 27210 130032 1 1VCJM 201811 6 0 4790 27240 130033 1 1VCJM 201811 6 100 4770 27260 130033 1 1VCJM 201811 6 200 4760 27280 130033 1 1VCJM 201811 6 300 4760 27310 130033 1 1VCJM 201811 6 400 4750 27330 130033 1 1VCJM 201811 6 500 4740 27350 130033 1 1VCJM 201811 6 600 4730 27380 130033 1 1VCJM 201811 6 700 4720 27410 130033 1 1VCJM 201811 6 800 4710 27430 130033 1 1VCJM 201811 6 900 4700 27450 130033 1 1VCJM 201811 61000 4690 27470 130033 1 1VCJM 201811 61100 4680 27500 130033 1 1VCJM 201811 61200 4670 27520 130032 1 1VCJM 201811 61300 4660 27530 130032 1 1VCJM 201811 61400 4650 27550 130032 1 1VCJM 201811 61500 4650 27560 130032 1 1VCJM 201811 61600 4650 27560 130021 1 1VCJM 201811 61700 4650 27570 130021 1 1VCJM 201811 61800 4640 27580 130031 1 1VCJM 201811 61900 4630 27580 130031 1 1VCJM 201811 62000 4620 27590 130032 1 1VCJM 201811 62100 4610 27610 130032 1 1VCJM 201811 62200 4590 27610 130032 1 1VCJM 201811 62300 4580 27630 130032 1 1VCJM 201811 7 0 4560 27640 130032 1 1VCJM 201811 7 200 4530 27680 130033 1 1VCJM 201811 7 300 4510 27690 130033 1 1VCJM 201811 7 400 4490 27680 130042 1 1VCJM 201811 7 500 4490 27670 130042 1 1VCJM 201811 7 600 4490 27670 130051 1 1VCJM 201811 7 700 4470 27680 130041 1 1VCJM 201811 7 800 4450 27680 130042 1 1VCJM 201811 71100 4410 27690 130042 1 1VCJM 201811 71200 4410 27720 130032 1 1VCJM 201811 71300 4390 27730 130032 1 1VCJM 201811 71400 4380 27740 130032 1 1VCJM 201811 71500 4360 27750 130032 1 1VCJM 201811 71600 4350 27750 130042 1 1VCJM 201811 71700 4330 27760 130042 1 1VCJM 201811 71900 4290 27760 130042 1 1VCJM 201811 72000 4280 27750 130042 1 1VCJM 201811 72100 4270 27750 130042 1 1VCJM 201811 72200 4260 27750 130042 1 1VCJM 201811 72300 4260 27740 130041 1 1VCJM 201811 8 0 4260 27740 130051 1 1VCJM 201811 8 100 4250 27730 130051 1 1VCJM 201811 8 200 4240 27710 130052 1 1VCJM 201811 8 300 4230 27700 130052 1 1VCJM 201811 8 400 4230 27690 130052 1 1VCJM 201811 8 500 4230 27690 130051 1 1VCJM 201811 8 600 4230 27690 130051 1 1VCJM 201811 8 700 4230 27690 130000 1 1VCJM 201811 8 800 4230 27690 130000 1 1VCJM 201811 8 900 4230 27690 130000 1 1VCJM 201811 81000 4230 27690 130000 1 1VCJM 201811 81100 4230 27690 130000 1 1VCJM 201811 81200 4230 27690 130000 1 1VCJM 201811 81300 4230 27690 130000 1 1VCJM 201811 81400 4230 27690 130000 1 1VCJM 201811 81500 4230 27690 130000 1 1VCJM 201811 81600 4230 27690 130000 1 1VCJM 201811 81700 4230 27690 130000 1 1VCJM 201811 81800 4230 27690 130000 1 1VCJM 201811 81900 4230 27690 130000 1 1VCJM 201811 82000 4230 27690 130000 1 1VCJM 201811 82100 4230 27690 130000 1 1VCJM 201811 82200 4230 27690 130000 1 1VCJM 201811 82300 4210 27690 130041 1 1VCJM 201811 9 0 4190 27690 130042 1 1VCJM 201811 9 100 4180 27680 130042 1 1VCJM 201811 9 200 4170 27660 130052 1 1VCJM 201811 9 300 4170 27650 130052 1 1VCJM 201811 9 400 4170 27650 130051 1 1VCJM 201811 9 500 4170 27650 130051 1 1VCJM 201811 9 600 4170 27650 130000 1 1VCJM 201811 9 700 4170 27650 130000 1 1VCJM 201811 9 800 4170 27650 130000 1 1VCJM 201811 9 900 4170 27650 130000 1 1VCJM 201811 91000 4170 27650 130000 1 1VCJM 201811 91100 4170 27650 130000 1 1VCJM 201811 91200 4170 27650 130000 1 1VCJM 201811 91300 4170 27660 130000 1 1VCJM 201811 91400 4180 27670 130011 1 1VCJM 201811 91500 4190 27690 130012 1 1VCJM 201811 91600 4190 27710 130012 1 1VCJM 201811 91700 4190 27740 130022 1 1VCJM 201811 91800 4180 27760 130022 1 1VCJM 201811 91900 4190 27780 130022 1 1VCJM 201811 92000 4190 27810 130022 1 1VCJM 201811 92100 4200 27830 130023 1 1VCJM 201811 92200 4210 27850 130023 1 1VCJM 201811101000 4270 27980 130000 1 1VCJM 201811101900 4270 27980 130000 1 1VCJM 201811102100 4270 27980 130000 1 1VCJM 201811102200 4270 27980 130000 1 1VCJM 201811102300 4270 27980 130000 1 1VCJM 20181111 0 4270 27980 130000 1 1VCJM 20181111 100 4270 27980 130000 1 1VCJM 20181111 200 4270 27980 130000 1 1VCJM 20181111 300 4270 27980 130000 1 1VCJM 20181111 400 4270 27980 130000 1 1VCJM 20181111 500 4270 28000 130021 1 1VCJM 20181111 600 4270 28010 130021 1 1VCJM 20181111 700 4270 28030 130022 1 1VCJM 20181111 800 4280 28040 130022 1 1VCJM 20181111 900 4280 28060 130022 1 1VCJM 201811111000 4280 28070 130022 1 1VCJM 201811111100 4290 28080 130011 1 1VCJM 201811111200 4290 28080 130011 1 1VCJM 201811111300 4310 28080 130081 1 1VCJM 201811111400 4310 28080 130081 1 1VCJM 201811111500 4310 28080 130081 1 1VCJM 201811111600 4310 28080 130081 1 1VCJM 201811111700 4310 28080 130000 1 1VCJM 201811111800 4320 28080 130000 1 1VCJM 201811111900 4320 28080 130081 1 1VCJM 201811112000 4320 28080 130081 1 1VCJM 201811112100 4320 28080 130081 1 1VCJM 201811112200 4330 28070 130071 1 1VCJM 201811112300 4330 28040 130062 1 1VCJM 20181112 0 4330 28020 130062 1 1VCJM 20181112 100 4330 28020 130062 1 1VCJM 20181112 200 4330 28020 130061 1 1VCJM 20181112 300 4330 28020 130000 1 1VCJM 20181112 400 4330 28020 130000 1 1VCJM 20181112 500 4330 28020 130000 1 1VCJM 20181112 600 4330 28020 130000 1 1VCJM 20181112 700 4330 28020 130000 1 1VCJM 20181112 800 4330 28020 130000 1 1VCJM 20181112 900 4330 28020 130000 1 1VCJM 201811121000 4330 28030 130011 1 1VCJM 201811121100 4330 28050 130021 1 1VCJM 201811121200 4330 28080 130022 1 1VCJM 201811121300 4320 28080 130022 1 1VCJM 201811121400 4320 28080 130031 1 1VCJM 201811121500 4320 28080 130041 1 1VCJM 201811121600 4310 28080 130041 1 1VCJM 201811121700 4310 28080 130041 1 1VCJM 201811121800 4310 28080 130000 1 1VCJM 201811121900 4300 28080 130041 1 1VCJM 201811122000 4290 28080 130041 1 1VCJM 201811122100 4290 28080 130041 1 1VCJM 201811122200 4290 28080 130041 1 1VCJM 201811122300 4290 28080 130041 1 1VCJM 20181113 0 4290 28080 130000 1 1VCJM 20181113 100 4290 28070 130000 1 1VCJM 20181113 200 4280 28050 130051 1 1VCJM 20181113 300 4260 28030 130052 1 1VCJM 20181113 400 4250 28010 130053 1 1VCJM 20181113 500 4250 27980 130053 1 1VCJM 20181113 600 4240 27950 130053 1 1VCJM 20181113 700 4230 27930 130063 1 1VCJM 20181113 800 4220 27910 130063 1 1VCJM 20181113 900 4220 27880 130063 1 1VCJM 201811131000 4210 27850 130063 1 1VCJM 201811131100 4200 27830 130063 1 1VCJM 201811131200 4190 27810 130063 1 1VCJM 201811131300 4190 27780 130063 1 1VCJM 201811131400 4180 27750 130063 1 1VCJM 201811131500 4190 27730 130062 1 1VCJM 201811131600 4190 27710 130062 1 1VCJM 201811131700 4180 27690 130062 1 1VCJM 201811131800 4180 27670 130062 1 1VCJM 201811131900 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201811142100 4170 27650 130000 1 1VCJM 201811142200 4170 27650 130000 1 1VCJM 201811142300 4170 27650 130000 1 1VCJM 20181115 0 4170 27650 130000 1 1VCJM 20181115 100 4170 27650 130000 1 1VCJM 20181115 200 4170 27650 130000 1 1VCJM 20181115 300 4170 27650 130000 1 1VCJM 20181115 400 4170 27650 130000 1 1VCJM 20181115 500 4170 27650 130000 1 1VCJM 20181115 600 4170 27650 130000 1 1VCJM 20181115 700 4170 27650 130000 1 1VCJM 20181115 800 4170 27650 130000 1 1VCJM 20181115 900 4170 27650 130000 1 1VCJM 201811151000 4170 27650 130000 1 1VCJM 201811151100 4170 27650 130000 1 1VCJM 201811151200 4170 27650 130000 1 1VCJM 201811151300 4170 27650 130000 1 1VCJM 201811151400 4170 27650 130000 1 1VCJM 201811151500 4170 27650 130000 1 1VCJM 201811151600 4170 27650 130000 1 1VCJM 201811151700 4170 27650 130000 1 1VCJM 201811151800 4170 27650 130000 1 1VCJM 201811151900 4170 27650 130000 1 1VCJM 201811152000 4170 27650 130000 1 1VCJM 201811152100 4170 27650 130000 1 1VCJM 201811152200 4170 27650 130000 1 1VCJM 201811152300 4170 27650 130000 1 1VCJM 20181116 0 4170 27650 130000 1 1VCJM 20181116 100 4170 27650 130000 1 1VCJM 20181116 200 4170 27650 130000 1 1VCJM 20181116 300 4170 27650 130000 1 1VCJM 20181116 400 4180 27670 130011 1 1VCJM 20181116 500 4180 27690 130011 1 1VCJM 20181116 600 4190 27710 130012 1 1VCJM 20181116 700 4190 27730 130022 1 1VCJM 20181116 800 4180 27750 130022 1 1VCJM 201811161100 4190 27820 130022 1 1VCJM 201811161500 4230 27910 130023 1 1VCJM 201811162100 4260 27980 130081 1 1VCJM 201811162200 4260 27980 130071 1 1VCJM 201811162300 4260 27980 130000 1 1VCJM 20181117 100 4260 27980 130000 1 1VCJM 20181117 200 4260 27980 130000 1 1VCJM 20181117 300 4260 27980 130000 1 1VCJM 20181117 400 4260 27980 130000 1 1VCJM 20181117 500 4260 27980 130000 1 1VCJM 20181117 600 4260 27980 130000 1 1VCJM 20181117 700 4260 27980 130000 1 1VCJM 20181117 800 4260 27980 130000 1 1VCJM 20181117 900 4260 27980 130000 1 1VCJM 201811171000 4270 27990 130021 1 1VCJM 201811171200 4280 28050 130022 1 1VCJM 201811171300 4280 28070 130023 1 1VCJM 201811171400 4280 28070 130022 1 1VCJM 201811171500 4290 28070 130011 1 1VCJM 201811171600 4290 28080 130011 1 1VCJM 201811171700 4290 28080 130081 1 1VCJM 201811171800 4310 28080 130081 1 1VCJM 201811171900 4310 28080 130081 1 1VCJM 201811172000 4310 28080 130081 1 1VCJM 201811172100 4310 28080 130081 1 1VCJM 201811172200 4310 28080 130000 1 1VCJM 201811172300 4310 28080 130000 1 1VCJM 20181118 0 4320 28080 130000 1 1VCJM 20181118 100 4320 28080 130000 1 1VCJM 20181118 200 4320 28080 130081 1 1VCJM 20181118 300 4320 28080 130081 1 1VCJM 20181118 400 4320 28080 130081 1 1VCJM 20181118 500 4330 28070 130071 1 1VCJM 20181118 600 4330 28040 130061 1 1VCJM 20181118 700 4330 28020 130062 1 1VCJM 20181118 800 4330 28020 130062 1 1VCJM 20181118 900 4330 28020 130061 1 1VCJM 201811181000 4330 28020 130000 1 1VCJM 201811181100 4330 28020 130000 1 1VCJM 201811181200 4330 28020 130000 1 1VCJM 201811181300 4330 28020 130000 1 1VCJM 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130053 1 1VCJM 201811191600 4190 27840 130053 1 1VCJM 201811191700 4180 27820 130053 1 1VCJM 201811191800 4170 27800 130053 1 1VCJM 201811191900 4170 27770 130053 1 1VCJM 201811192000 4160 27750 130053 1 1VCJM 201811192100 4150 27730 130053 1 1VCJM 201811192200 4150 27730 130052 1 1VCJM 201811192300 4150 27730 130051 1 1VCJM 20181120 0 4150 27730 130000 1 1VCJM 20181120 100 4150 27730 130000 1 1VCJM 20181120 200 4150 27730 130000 1 1VCJM 20181120 300 4150 27730 130000 1 1VCJM 20181120 400 4150 27730 130000 1 1VCJM 20181120 500 4150 27730 130000 1 1VCJM 20181120 600 4150 27730 130000 1 1VCJM 20181120 700 4150 27730 130000 1 1VCJM 20181120 800 4150 27730 130000 1 1VCJM 20181120 900 4150 27730 130000 1 1VCJM 201811201000 4150 27730 130000 1 1VCJM 201811201100 4150 27730 130000 1 1VCJM 201811201200 4150 27730 130000 1 1VCJM 201811201300 4150 27730 130000 1 1VCJM 201811201400 4150 27730 130000 1 1VCJM 201811201500 4150 27730 130000 1 1VCJM 201811201600 4150 27730 130000 1 1VCJM 201811201700 4150 27730 130000 1 1VCJM 201811201800 4150 27730 130000 1 1VCJM 201811201900 4160 27750 130011 1 1VCJM 201811202000 4170 27770 130012 1 1VCJM 201811202100 4170 27790 130012 1 1VCJM 201811202200 4180 27810 130013 1 1VCJM 201811202300 4190 27840 130013 1 1VCJM 20181121 0 4190 27860 130012 1 1VCJM 20181121 100 4200 27870 130012 1 1VCJM 20181121 200 4210 27890 130012 1 1VCJM 20181121 300 4220 27910 130012 1 1VCJM 20181121 500 4230 27950 130012 1 1VCJM 20181121 600 4240 27970 130012 1 1VCJM 201811211700 4280 28070 130081 1 1VCJM 201811211800 4290 28080 130081 1 1VCJM 201811211900 4290 28080 130081 1 1VCJM 201811212000 4290 28080 130081 1 1VCJM 201811212100 4310 28080 130081 1 1VCJM 201811212200 4310 28080 130081 1 1VCJM 201811212300 4310 28080 130081 1 1VCJM 20181122 0 4310 28080 130000 1 1VCJM 20181122 100 4320 28080 130000 1 1VCJM 20181122 200 4320 28080 130000 1 1VCJM 20181122 300 4320 28080 130081 1 1VCJM 20181122 400 4320 28080 130081 1 1VCJM 20181122 500 4320 28080 130081 1 1VCJM 20181122 600 4330 28060 130071 1 1VCJM 20181122 700 4330 28030 130062 1 1VCJM 20181122 800 4330 28020 130062 1 1VCJM 20181122 900 4330 28020 130061 1 1VCJM 201811221000 4330 28020 130061 1 1VCJM 201811221100 4330 28020 130000 1 1VCJM 201811221200 4330 28020 130000 1 1VCJM 201811221300 4330 28020 130000 1 1VCJM 201811221400 4330 28020 130000 1 1VCJM 201811221500 4330 28020 130000 1 1VCJM 201811221600 4330 28020 130000 1 1VCJM 201811221700 4330 28020 130000 1 1VCJM 201811221800 4330 28030 130021 1 1VCJM 201811221900 4330 28060 130021 1 1VCJM 201811222000 4320 28080 130022 1 1VCJM 201811222100 4320 28080 130022 1 1VCJM 201811222200 4320 28080 130031 1 1VCJM 201811222300 4320 28080 130041 1 1VCJM 20181123 0 4320 28080 130041 1 1VCJM 20181123 100 4310 28080 130041 1 1VCJM 20181123 200 4310 28080 130041 1 1VCJM 20181123 300 4310 28080 130000 1 1VCJM 20181123 400 4310 28080 130000 1 1VCJM 20181123 500 4310 28080 130000 1 1VCJM 20181123 600 4300 28080 130041 1 1VCJM 20181123 700 4290 28080 130041 1 1VCJM 20181123 800 4290 28080 130041 1 1VCJM 20181123 900 4290 28080 130041 1 1VCJM 201811231000 4280 28050 130051 1 1VCJM 201811231100 4270 28030 130052 1 1VCJM 201811231200 4260 28010 130053 1 1VCJM 201811231300 4250 27990 130053 1 1VCJM 201811231400 4240 27960 130053 1 1VCJM 201811231500 4230 27940 130053 1 1VCJM 201811231600 4220 27920 130053 1 1VCJM 201811231700 4210 27890 130053 1 1VCJM 201811231800 4200 27870 130053 1 1VCJM 201811231900 4190 27840 130053 1 1VCJM 201811232000 4180 27820 130053 1 1VCJM 201811232100 4180 27800 130053 1 1VCJM 201811232200 4170 27770 130053 1 1VCJM 201811232300 4160 27750 130053 1 1VCJM 20181124 0 4150 27730 130053 1 1VCJM 20181124 100 4150 27730 130052 1 1VCJM 20181124 200 4150 27730 130051 1 1VCJM 20181124 300 4150 27730 130000 1 1VCJM 20181124 400 4150 27730 130000 1 1VCJM 20181124 500 4150 27730 130000 1 1VCJM 20181124 600 4150 27730 130000 1 1VCJM 20181124 700 4150 27730 130000 1 1VCJM 20181124 800 4150 27730 130000 1 1VCJM 20181124 900 4150 27730 130000 1 1VCJM 201811241000 4150 27730 130000 1 1VCJM 201811241100 4150 27730 130000 1 1VCJM 201811241200 4150 27730 130000 1 1VCJM 201811241300 4150 27730 130000 1 1VCJM 201811241400 4150 27730 130000 1 1VCJM 201811241500 4150 27730 130011 1 1VCJM 201811241600 4160 27750 130011 1 1VCJM 201811241700 4170 27770 130012 1 1VCJM 201811241800 4180 27800 130012 1 1VCJM 201811241900 4180 27820 130013 1 1VCJM 201811242000 4190 27840 130013 1 1VCJM 201811242100 4200 27870 130013 1 1VCJM 201811242200 4210 27890 130013 1 1VCJM 201811242300 4220 27910 130013 1 1VCJM 20181125 0 4230 27940 130013 1 1VCJM 20181125 100 4230 27960 130013 1 1VCJM 20181125 200 4240 27980 130013 1 1VCJM 20181125 300 4250 28010 130013 1 1VCJM 20181125 400 4260 28030 130013 1 1VCJM 20181125 500 4270 28050 130013 1 1VCJM 20181125 600 4280 28070 130013 1 1VCJM 20181125 700 4290 28080 130012 1 1VCJM 20181125 800 4290 28080 130012 1 1VCJM 20181125 900 4310 28080 130081 1 1VCJM 201811251000 4310 28080 130081 1 1VCJM 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11800 3250 30130 130023 1 1VREX7 201811 2 100 3290 30300 130023 1 1VREX7 201811 2 600 3320 30410 130023 1 1VREX7 201811 21800 3380 30680 130023 1 1VREX7 201811 3 100 3410 30850 130023 1 1VREX7 201811 3 600 3430 30970 130023 1 1VREX7 201811 31800 3470 31260 130023 1 1VREX7 201811 4 600 3530 31540 130023 1 1VREX7 201811 41400 3570 31730 130023 1 1VREX7 201811 41800 3590 31830 130023 1 1VREX7 201811 5 600 3650 32120 130023 1 1VREX7 201811 51800 3670 32370 130023 1 1VREX7 201811 6 600 3660 31730 130023 1 1VREX7 201811 61300 3660 32890 130023 1 1VREX7 201811 7 600 3660 33500 130024 1 1VREX7 201811 71800 3730 33960 130024 1 1VREX7 201811 8 600 3900 34390 130014 1 1VREX7 201811 81800 4090 34810 130024 1 1VREX7 201811 9 600 4340 35050 130084 1 1VREX7 201811 91200 4500 35180 130014 1 1VREX7 201811 91800 4630 35300 130013 1 1VREX7 20181110 600 4890 35490 130013 1 1VREX7 201811 11200 4880 35350 130054 1 1VRFO7 201811 11900 4750 35100 130054 1 1VRFO7 201811 2 0 4660 34930 130054 1 1VRFO7 201811 2 600 4560 34730 130054 1 1VRFO7 201811 21200 4460 34540 130054 1 1VRFO7 201811 3 600 4180 34020 130054 1 1VRFO7 201811 31200 4090 33860 130053 1 1VRFO7 201811 31800 3990 33690 130054 1 1VRFO7 201811 41200 3750 33070 130064 1 1VRFO7 201811 41800 3700 32980 130064 1 1VRFO7 201811 5 0 3650 32790 130064 1 1VRFO7 201811 5 700 3580 32580 130064 1 1VRFO7 201811 51200 3530 32410 130064 1 1VRFO7 201811 52000 3450 32180 130064 1 1VRFO7 201811 6 0 3400 32040 130054 1 1VRFO7 201811 6 600 3330 31860 130054 1 1VRFO7 201811 61200 3250 31670 130054 1 1VRFO7 201811 61800 3180 31490 130054 1 1VRFO7 201811 7 0 3100 31310 130054 1 1VRFO7 201811 7 600 3010 31120 130054 1 1VRFO7 201811 71200 2930 30970 130054 1 1VRFO7 201811 71800 2850 30810 130054 1 1VRFO7 201811 8 100 2760 30630 130054 1 1VRFO7 201811 8 600 2660 30450 130054 1 1VRFO7 201811 81200 2570 30310 130054 1 1VRFO7 201811 81900 2460 30120 130054 1 1VRFO7 201811 9 100 2390 30000 130054 1 1VRFO7 201811 9 600 2290 29840 130054 1 1VRFO7 201811 91200 2190 29690 130054 1 1VRFO7 201811 91900 2090 29520 130054 1 1VRFO7 20181110 0 2010 29400 130054 1 1VRFO7 20181110 600 1920 29250 130054 1 1VRFO7 20181111 0 1520 28900 130054 1 1VRFO7 20181111 600 1400 28780 130054 1 1VRFO7 20181112 0 1050 28420 130044 1 1VRFO7 201811271200 1350 28560 130014 1 1VRFO7 201811272000 1500 28760 130014 1 1VRFO7 20181128 0 1570 28870 130014 1 1VRFO7 20181128 600 1680 29020 130014 1 1VRFO7 201811281800 1950 29330 130024 1 1VRFO7 20181129 0 2000 29520 130024 1 1VRFO7 20181129 600 2060 29710 130024 1 1VRFO7 201811291200 2120 29910 130024 1 1VRFO7 201811291800 2190 30100 130024 1 1VRFO7 20181130 100 2240 30310 130024 1 1VRFO7 20181130 600 2300 30500 130024 1 1VRFO7 201811301200 2360 30710 130024 1 1VRFO7 201811301800 2420 30910 130024 1 1VRFO7 201811261200 3660 200 130044 1 1VRFU9 201811261800 3640 35780 130064 1 1VRFU9 20181127 0 3620 34560 130064 1 1VRFU9 20181127 600 3600 35300 130066 1 1VRFU9 201811271200 3610 35050 130064 1 1VRFU9 20181128 600 3630 34340 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1VRYO3 201811 4 400 5460 660 130073 1 1VRYO3 201811 4 500 5470 630 130073 1 1VRYO3 201811 4 600 5480 590 130073 1 1VRYO3 201811 4 700 5490 560 130073 1 1VRYO3 201811 4 800 5510 530 130073 1 1VRYO3 201811 4 900 5520 490 130073 1 1VRYO3 201811 41000 5540 460 130073 1 1VRYO3 201811 41100 5550 430 130073 1 1VRYO3 201811 41200 5560 390 130073 1 1VRYO3 201811 41300 5570 360 130073 1 1VRYO3 201811 41400 5590 330 130073 1 1VRYO3 201811 41500 5590 290 130073 1 1VRYO3 201811 41600 5610 260 130073 1 1VRYO3 201811 41700 5620 220 130073 1 1VRYO3 201811 41800 5640 190 130073 1 1VRYO3 201811 41900 5650 160 130073 1 1VRYO3 201811 42000 5670 130 130073 1 1VRYO3 201811 42100 5680 90 130073 1 1VRYO3 201811 42200 5690 60 130073 1 1VRYO3 201811 42300 5710 30 130073 1 1VRYO3 201811 5 0 5730 0 130073 1 1VRYO3 201811 5 100 5750 35960 130073 1 1VRYO3 201811 5 200 5760 35930 130073 1 1VRYO3 201811 5 300 5780 35900 130073 1 1VRYO3 201811 5 400 5790 35860 130073 1 1VRYO3 201811 5 500 5810 35830 130073 1 1VRYO3 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201811 71200 3020 27150 1300 1 1WTDO 201811 71300 3030 27140 1300 1 1WTDO 201811 71400 3040 27140 1300 1 1WTDO 201811112000 3040 27140 1300 1 1WTDO 201811112100 3030 27150 1300 1 1WTDO 201811112200 3020 27150 1300 1 1WTDO 201811112300 3010 27170 1300 1 1WTDO 20181112 0 3010 27180 1300 1 1WTDO 20181112 100 3010 27200 1300 1 1WTDO 20181112 200 3010 27220 1300 1 1WTDO 20181112 300 3020 27240 1300 1 1WTDO 20181112 400 3020 27260 1300 1 1WTDO 20181112 500 3020 27280 1300 1 1WTDO 20181112 600 3030 27300 1300 1 1WTDO 20181112 700 3030 27310 1300 1 1WTDO 20181112 900 3030 27350 1300 1 1WTDO 201811121000 3030 27360 1300 1 1WTDO 201811121100 3010 27370 1300 1 1WTDO 201811121200 3000 27380 1300 1 1WTDO 201811121300 2980 27390 1300 1 1WTDO 201811121400 2970 27400 1300 1 1WTDO 201811121500 2970 27410 1300 1 1WTDO 201811121600 2960 27420 1300 1 1WTDO 201811121700 2950 27430 1300 1 1WTDO 201811121800 2940 27440 1300 1 1WTDO 201811121900 2940 27450 1300 1 1WTDO 201811122000 2940 27450 1300 1 1WTDO 201811122100 2940 27450 1300 1 1WTDO 201811122200 2950 27460 1300 1 1WTDO 201811122300 2950 27460 1300 1 1WTDO 20181113 0 2950 27470 1300 1 1WTDO 20181113 100 2940 27480 1300 1 1WTDO 20181113 200 2940 27490 1300 1 1WTDO 20181113 300 2940 27490 1300 1 1WTDO 20181113 400 2940 27490 1300 1 1WTDO 20181113 500 2930 27480 1300 1 1WTDO 20181113 600 2920 27480 1300 1 1WTDO 20181113 700 2930 27480 1300 1 1WTDO 20181113 800 2920 27480 1300 1 1WTDO 20181113 900 2910 27490 1300 1 1WTDO 201811131000 2900 27490 1300 1 1WTDO 201811131100 2900 27490 1300 1 1WTDO 201811131200 2880 27500 1300 1 1WTDO 201811131300 2870 27500 1300 1 1WTDO 201811131400 2860 27510 1300 1 1WTDO 201811131500 2850 27520 1300 1 1WTDO 201811131600 2850 27530 1300 1 1WTDO 201811131700 2850 27530 1300 1 1WTDO 201811131800 2860 27520 1300 1 1WTDO 201811131900 2870 27510 1300 1 1WTDO 201811132000 2870 27510 1300 1 1WTDO 201811132100 2880 27520 1300 1 1WTDO 201811132200 2880 27520 1300 1 1WTDO 20181114 0 2880 27520 1300 1 1WTDO 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201811171300 2860 27660 1300 1 1WTDO 201811171400 2840 27640 1300 1 1WTDO 201811171500 2830 27620 1300 1 1WTDO 201811171600 2830 27620 1300 1 1WTDO 201811171700 2840 27620 1300 1 1WTDO 201811171800 2840 27620 1300 1 1WTDO 201811171900 2830 27630 1300 1 1WTDO 201811172100 2820 27640 1300 1 1WTDO 201811172200 2820 27660 1300 1 1WTDO 201811172300 2810 27670 1300 1 1WTDO 20181118 0 2800 27680 1300 1 1WTDO 20181118 100 2800 27680 1300 1 1WTDO 20181118 200 2800 27680 1300 1 1WTDO 20181118 500 2790 27650 1300 1 1WTDO 20181118 600 2790 27650 1300 1 1WTDO 20181118 700 2790 27650 1300 1 1WTDO 20181118 800 2780 27650 1300 1 1WTDO 20181118 900 2770 27640 1300 1 1WTDO 201811181000 2760 27640 1300 1 1WTDO 201811181100 2760 27640 1300 1 1WTDO 201811181200 2760 27630 1300 1 1WTDO 201811181300 2760 27620 1300 1 1WTDO 201811181400 2770 27600 1300 1 1WTDO 201811181500 2770 27600 1300 1 1WTDO 201811181600 2770 27590 1300 1 1WTDO 201811181700 2770 27590 1300 1 1WTDO 201811181800 2770 27590 1300 1 1WTDO 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