我正在尝试使用 dataframe.to_SQL 将 pandas 数据框 CAPE 插入 SQL Server DB。我引用了以下解决方案来插入行。
PyOdbc fails to connect to a sql server instance
但我收到如下所示的错误。
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')
这是我收到的错误:
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
示例数据帧值:
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
最佳答案
DataFrame.to_sql()的第一个位置参数是表名，您将 engine (SQLAlchemy 对象)作为第一个参数传递。
所以试试这个:
CAPE.to_sql('[Tableau].[dbo].[Company_Table]',con=engine, if_exists='replace')
关于python - 尝试使用 to_sql 函数插入时，数据库引擎无法连接到 sql-server 实例，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/45646232/