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重复造轮子，只是为了熟悉一下DBC格式。
与同类工具的不同点：

1. 能批量转换在同一文件夹下的所有DBC，省时省力。
2. 很多同类工具转换后的excel列宽较小，不能直接显示全部信息。本代码使用了自适应的列宽，看起来更方便。**

# coding=UTF-8
import os
import argparse
import xlsxwriter as xw
import pandas as pd
import re
import openpyxl# DBC信息解码，返回字典
def decode(str1):ans = {}# 报文帧if str1.startswith('BO_'):list1 = re.split(" |: |\n",str1)ans['message_id'],ans['message_name'],ans['message_size'],ans['transmitter'] = list1[1],list1[2],list1[3],list1[4]return ans# 信号帧elif str1.startswith(' SG_'):str1 = str1[5:] # 去掉" SG_ ",共5个字符ans['empty1'],ans['empty2'],ans['empty3'],ans['empty4'] = None,None,None,Nonesub = ':'spt = [sub.start() for sub in re.finditer(sub , str1)]ans['signal_name'],ans['multiplexer_indicator'] = re.split(" ",str1[0:spt[0]])[0], re.split(" ",str1[0:spt[0]])[1]str1 = str1[spt[0]+2:]sub = '@'spt = [sub.start() for sub in re.finditer(sub , str1)]ans['start_bit'],ans['signal_size'],ans['byte_order'],ans['value_type'] = str1[0: str1.find('|',0,spt[0])], str1[str1.find('|',0,spt[0])+1:spt[0]], str1[spt[0]+1], str1[spt[0]+2]if ans['byte_order'] == '0':ans['byte_order'] = 'intel'elif ans['byte_order'] == '1':ans['byte_order'] = 'motorola'if ans['value_type'] == '+':ans['value_type'] = '无符号数'elif ans['value_type'] == '-':ans['value_type'] = '有符号数'str1 = str1[spt[0]+4:]spt = str1.find(' ')ans['factor'],ans['offset'] = re.split(",",str1[1:spt-1])[0], re.split(",",str1[1:spt-1])[1]str1 = str1[spt+1:]sub = ']'spt = [sub.start() for sub in re.finditer(sub , str1)]ans['minimum'],ans['maximum'] = str1[1: str1.find('|',0,spt[0])], str1[str1.find('|',0,spt[0])+1:str1.find(']')]str1 = str1[spt[0]+2:]ans['unit'],ans['receiver'] = str1[0:str1.find(' ')], str1[str1.find(' ')+1:-2]return ansif __name__ == '__main__':parser = argparse.ArgumentParser(description='将文件夹中的所有DBC文件转换为excel')parser.add_argument('dbc_dir', type=str,help='DBC文件所在的文件夹地址')parser.add_argument('excel_dir', type=str,help='excel的保存地址')parser.add_argument('excel_name', type=str,help='excel文件名')args = parser.parse_args()dbc_dir = args.dbc_direxcel_dir = args.excel_direxcel_name = args.excel_nametitle = ['message_id', 'message_name', 'message_size','transmitter', 'signal_name', 'multiplexer_indicator','start_bit', 'signal_size', 'byte_order', 'value_type','factor', 'offset', 'minimum', 'maximum', 'unit', 'receiver']# 遍历指定文件夹下的DBC文件绝对路径，保存为list。dbcfiles = []for filename in os.listdir(dbc_dir):if filename.endswith('.dbc'):dbcfiles.append(filename)df = pd.DataFrame()df.to_excel(excel_name)for dbc in dbcfiles:# 将数据按表头顺序存入listwith open(dbc_dir + '/' + dbc, 'r', encoding='gbk') as f:string = f.readlines()for i in string:data = decode(i)# data = translate(data)if data != None:val = list(data.values())df1 = pd.DataFrame([val])df = pd.concat([df,df1],axis=0)with pd.ExcelWriter(excel_name, mode='a', engine="openpyxl") as writer:df.to_excel(writer, sheet_name=dbc, header=title, index=False)workbook = openpyxl.load_workbook(excel_name)worksheet = workbook['Sheet1']workbook.remove(worksheet)for sheet_name in workbook.sheetnames:sheet = workbook[sheet_name]for column in sheet.columns:max_length = 0column = [cell for cell in column]for cell in column:try:if len(str(cell.value)) > max_length:max_length = len(cell.value)except:passadjusted_width = (max_length + 2)sheet.column_dimensions[column[0].column_letter].width = adjusted_widthworkbook.save(excel_dir+"\\"+excel_name)