carsystem-asc-save.rar

import tkinter as tk import filetype import os.path import matplotlib.pyplot as plt#导入绘图库 import numpy as np from tkinter import filedialog #gui库 from sys import argv DATA_ST =7#8; CAN_ID_LINE=3#4# CANid 的列数 TIME_LINE = 2; def t2ms(t):#当前绝对时间转化 #print(t) h,m,s = t.strip().split(':')#第三列为时间#t.strip().split(":") s,ms,mms=s.strip().split('.') if len(ms)<6: ms=ms+'0'*(6-len(ms)) str_time=str(int(h)*3600+int(m)*60+int(s))+'.'+ms return str_time plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签 plt.rcParams['axes.unicode_minus']=False #用来正常显示负号 root = tk.Tk() root.withdraw() file_path = filedialog.askopenfilename(title='打开trc文件', filetypes=[('S2out', '*.xls'),\ ('S2out', '*.txt'),('S2out', '*.csv'),('All Files', '*')]) flie_type = os.path.splitext(file_path)[1] flie_name =os.path.basename(file_path) print('flie_name=>',flie_name,'flie_type=>',flie_type) flie_name1,flie_name2=flie_name.split('.') file_path_dir = os.path.dirname(file_path)#获取原始数据地址 argc =flie_name1+'_ToASC.asc' argc =file_path_dir+'/'+argc; #将数据保存在获取的文件夹地址内 script ,filename = argc,argv fw = open(argc, 'w') string='date Wed Dec 18 09:52:07 AM 2019\nbase hex timestamps absolute\n' fw.write(string) fr = open(argc, 'r') Data_Name=[] line_cnt=0; line_all_data=[] can_id=0; with open(file_path) as src:#,encoding='utf-8' x0 =x1 = x2 =x3=x4=x5=x6=x7=x8=x9=x10=x11=x12=line_cnt=0#计数变量 做x轴 lines = src.readlines() for line_i in range(len(lines)): #按照行读取数据 line_all_data.append(lines[line_i].split(',')) #分裂数据',' line_cnt=line_cnt+1; #行计数器 if line_cnt>1: #print(line_all_data) can_id=line_all_data[line_i][CAN_ID_LINE].lower(); can_id=hex(int(can_id,16)); #print(can_id) if can_id[0:2]=='0x': can_id=can_id[2:] can_id=can_id+'x' can_time=t2ms(line_all_data[line_i][TIME_LINE]);#int(line_all_data[line_i][1])/1000 can_data=line_all_data[line_i][DATA_ST]#.split(); #can_data =str(can_data[0])+' '+str(can_data[1])+' '+str(can_data[2])+' '+str(can_data[3])+' '\ # +str(can_data[4])+' '+str(can_data[5])+' '+str(can_data[6])+' '+str(can_data[7])+'\n' can_data_len='8';#str(len(line_all_data[line_i][DATA_ST].split())); can_ch='1' d='d' Rx='Rx'; can_data_len=str(can_data_len) row_data=can_time+' '+can_ch+' '+can_id+' '+Rx+' '+d+' '+can_data_len+' '+can_data; row_data = row_data+'\n'; fw.write(row_data) if line_cnt<10: print(row_data) print('数据行数',line_cnt) end='End Triggerblock' fw.write(end) print('success') fw.close() fr.close()