在将Pandas Dataframe插入python的Sql-server DB中时需要帮助 [英] Need help in inserting Pandas Dataframe into Sql-server DB in python

问题描述

我正在尝试使用dataframe.to_SQL将熊猫数据框CAPE插入到SQL Server DB中.我已经提到了以下解决方案来插入行. PyOdbc无法连接到sql服务器实例.但是我在urllib.parse.quote_plus行中遇到了错误.

I am trying to insert pandas dataframe CAPE into SQL Server DB using dataframe.to_SQL. I have referred the following solution to insert rows. PyOdbc fails to connect to a sql server instance .But i am getting error in urllib.parse.quote_plus line.

任何人都可以帮助提供一种在Sql-server DB中插入数据框的解决方案.

Can anyone help provide a solution to insert dataframe in Sql-server DB.

源代码:

   CAPE    # Input dataframe
   connection = pdc.connect('Driver={SQL Server};''Server=GIRSQL.GIRCAPITAL.com;''Database=Tableau;''uid=SQL_User;pwd=Greentableau!')
   connection_string = urllib.parse.quote_plus(connection)
   connection_string = "mssql+pyodbc:///?odbc_connect=%s" % connection_string
   engine = sq.create_engine(connection_string)
   CAPE.to_sql(engine, name='[Tableau].[dbo].[Company_Table]',if_exists='replace')

这是我得到的错误:

    Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "C:\Users\Abhay\Python36-32\lib\urllib\parse.py", line 803, in quote_plus
string = quote(string, safe + space, encoding, errors)
  File "C:\Users\Abhay\Python36-32\lib\urllib\parse.py", line 787, in quote
 return quote_from_bytes(string, safe)
  File "C:\Users\Abhay\Python36-32\lib\urllib\parse.py", line 812, in quote_from_bytes
  raise TypeError("quote_from_bytes() expected bytes")
  TypeError: quote_from_bytes() expected bytes
  connection = pdc.connect('Driver={SQL Server};''Server=GIRSQL.GIRCAPITAL.com;''Database=Tableau;''uid=SQL_User;pwd=Greentableau!')
   connection_string = ur.quote(connection)
  Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "C:\Users\Abhay\Python36-32\lib\urllib\parse.py", line 787, in quote
return quote_from_bytes(string, safe)
  File "C:\Users\Abhay\Python36-32\lib\urllib\parse.py", line 812, in 
 quote_from_bytes
  raise TypeError("quote_from_bytes() expected bytes")
  TypeError: quote_from_bytes() expected bytes

数据框样本值:

        Date Company Value     Category BICS_LEVEL_1_SECTOR_NAME BICS_LEVEL_2_INDUSTRY_GROUP_NAME BICS_LEVEL_3_INDUSTRY_NAME BICS_LEVEL_4_SUB_INDUSTRY_NAME BICS_LEVEL_5_SEGMENT_NAME BICS_REVENUE_LEVEL_ASSIGNED BS_TOT_VAL_OF_SHARES_REPURCHASED COUNTRY COUNTRY_OF_LARGEST_REVENUE EQY_SH_OUT GICS_INDUSTRY_GROUP_NAME        GICS_INDUSTRY_NAME GICS_SECTOR_NAME    GICS_SUB_INDUSTRY_NAME      ICB_SECTOR_NAME            INDUSTRY_GROUP INDUSTRY_SECTOR INDUSTRY_SECTOR_NUM        INDUSTRY_SUBGROUP MARKET_SECTOR_DES Real_Earnings Real_Price  CAPE_10  Percentile_10_CAPE
        0 1975-04-30   3M Co     0          EPS                Materials                        Chemicals        Specialty Chemicals           Adhesives & Sealants                       NaN                       10399                          3635.82      US              United States    596.767            Capital Goods  Industrial Conglomerates      Industrials  Industrial Conglomerates  General Industrials  Miscellaneous Manufactur      Industrial               10011  Diversified Manufact Op            Equity             0          0      NaN                 NaN
        1 1975-04-30   3M Co     0  Stock Price                Materials                        Chemicals        Specialty Chemicals           Adhesives & Sealants                       NaN                       10399                          3635.82      US              United States    596.767            Capital Goods  Industrial Conglomerates      Industrials  Industrial Conglomerates  General Industrials  Miscellaneous Manufactur      Industrial               10011  Diversified Manufact Op            Equity             0          0      NaN                 NaN
        2 1975-04-30   3M Co     0    Cash Flow                Materials                        Chemicals        Specialty Chemicals           Adhesives & Sealants                       NaN                       10399                          3635.82      US              United States    596.767            Capital Goods  Industrial Conglomerates      Industrials  Industrial Conglomerates  General Industrials  Miscellaneous Manufactur      Industrial               10011  Diversified Manufact Op            Equity             0          0      NaN                 NaN

我正在使用SQL Server 13.0.4版

I am using SQL server version 13.0.4

版本2:

我已经更新了我的代码.现在给出sqlalchemy.exc.DBAPIError:

I have updated my code. Now its giving sqlalchemy.exc.DBAPIError:

代码:

  import pyodbc
  import sqlalchemy

   CAFE # sample dataframe
   engine = sqlalchemy.create_engine("mssql+pyodbc://SQL_User:Greentableau!@GIRSQL.GIRCAPITAL.com/Tableau?driver=SQL+Server+Native+Client+11.0")
   engine.connect()
   CAPE.to_sql(name='[Tableau].[dbo].[Test_table]',con=engine, if_exists='replace')

错误:

     sqlalchemy.exc.DBAPIError: (pyodbc.Error) ('IM002', '[IM002] [Microsoft][ODBC Driver Manager] Data source name not found and no default driver specified (0) (SQLDriverConnect)')

推荐答案

AFAIK不需要引用连接字符串.

AFAIK there is no need to quote a connection string.

以下是 SQL Alchemy在线文档:

engine = create_engine("mssql+pyodbc://scott:tiger@myhost:port/databasename?driver=SQL+Server+Native+Client+10.0")

即我们不必直接调用/使用PyODBC-SQL Alchemy将为我们做到这一点...

I.e. we don't have to call/use PyODBC directly - SQL Alchemy will do it for us...

PS 驱动程序名称将取决于您的SQL Server版本...

更新:感谢 查看全文