Question

我对python和SQL非常陌生。我在Excel中有一个数据库查询，该查询很大，我试图直接移至Python。目前，我使用read_excel（）从excel中读取了它。

我已经安装了导入pyodbc，并尝试从excel中获取连接字符串并将其放入python中。

我编写的默认代码是：

import pyodbc
conn_str = 'Provider.....'
conn = pyodbc.connect(conn_str)

SQL_Query = pd.read_sql_query(
                '''SELECT  *        
                FROM [MarketData].[Gas].[KplerVesselHistory]''', conn)

excel连接信息如下：

Connection type: OLE DB Query

Connection string: Provider=SQLOLEDB.1;Integrated Security=SSPI;Persist Security Info=True;Initial Catalog=MarketData;Data Source=FOTDAL02PR;Use Procedure for Prepare=1;Auto Translate=True;Packet Size=4096;Workstation ID=[blank];Use Encryption for Data=False;Tag with column collation when possible=False

Command type: SQL

我得到的错误是：

Traceback (most recent call last):
  File "C:\dev\bin\pycharm\helpers\pydev\_pydevd_bundle\pydevd_exec2.py", line 3, in Exec
    exec(exp, global_vars, local_vars)
  File "<string>", line 3, in <module>
pyodbc.InterfaceError: ('IM002', '[IM002] [Microsoft][ODBC Driver Manager] Data source name not found and no default driver specified (0) (SQLDriverConnect)')

Answer 1

类似的事情可能会起作用：

这使用SQL Server的ODBC驱动程序进行连接，运行查询并将其返回到Pandas DataFrame，然后打印输出。

import pyodbc
import pandas


driver = '{ODBC Driver 17 for SQL Server}'
server = 'server_name\instance_name'
database = 'MarketData'
sql = 'SELECT  * FROM [MarketData].[Gas].[KplerVesselHistory]'

conn_str = 'Driver={};Server={};Trusted_Connection=True;Database={}'.format(driver, server, database)
conn = pyodbc.connect(conn_str)
df = pandas.read_sql(sql, conn)
print(df)

将OLE DB SQL连接字符串转换为数据框？

1 个答案: