pandas 添加sql表，检查表是否存在

Question

我有一段代码，它在目录中循环 excel 文件，将文件添加到 sqlite db 中。如果表存在，我设法克服了引发的异常，但我发现这既不优雅又低效，因为循环读取 excel 文件，将其添加到数据框等中......理想情况下我想要的是我测试存在从 excel 创建 df 之前的表。

response = {}
for f in glob('T:\GESTION\toto\titi\tata\file_201*.xlsx'):
    print f
    datereg = re.search('T:\\\\GESTION\\\\toto\\\\titi\\\\tata\\\\file_(\d{4})(\d{2})(\d{2}).xlsx', f)
    if datereg is not None:
        dated = datetime.datetime(int(datereg.group(1)), int(datereg.group(2)), int(datereg.group(3)))
    print dated

    # ideally test if table in db exists here

    xl = pd.ExcelFile(f)
    df = xl.parse(sheetname="Sheet1")
    df = df[extractFields].drop_duplicates(subset='ISIN')
    df = df.set_index('ISIN', verify_integrity=True)
    response[dated] = df
    # print response
    engine = sqlalchemy.create_engine('sqlite:///my_db.sqlite')
    try:
        df.to_sql(dated.__str__(), engine, if_exists='fail')
    except ValueError as err:
        print(err)
        pass

Answer 1

这是我的代码：

engine = create_engine("mysql+mysqlconnector://{user}:{pw}@localhost/{db}".format(user="root",pw="password",db="worker"))
check=engine.has_table(table_name)
            print(check) #boolean
            if check == False:
                df.to_sql(con=engine, name=table_name, if_exists='replace',index=False)