2017-08-10 734 views
-1

我正在Python中使用以下代码模板(使用Atom构建/写入)。如何在Python脚本中执行多个SQL语句?

import pyodbc 
import pandas as pd 
import win32com.client 


cnxn = pyodbc.connect('Trusted_Connection=yes', driver = '{SQL 
Server}',server ='prodserver', database = 'XXXX') 

cnxn.setdecoding(pyodbc.SQL_WCHAR, encoding='utf-8') 
cnxn.setencoding(str, encoding='utf-8') 
cnxn.setencoding(unicode, encoding='utf-8', ctype=pyodbc.SQL_CHAR) 
cursor = cnxn.cursor() 
script ="""SELECT AccountsCount.AccountClass, COUNT(*) as Count 
    FROM 
     (SELECT * 
     FROM XXXX.dbo.table 
     where SubNo='001' 
     AND (DATENAME(WEEKDAY, GETDATE()) = 'Sunday' AND 
    convert(date,AddDate) = DATEADD(DAY, -2, CAST(GETDATE() as DATE)) 
) OR 
    (DATENAME(WEEKDAY, GETDATE()) = 'Monday' AND 
    convert(date,AddDate) = DATEADD(DAY, -3, CAST(GETDATE() as DATE)) 
) OR 
    (DATENAME(WEEKDAY, GETDATE()) = 'Sunday' AND 
    convert(date,AddDate) = DATEADD(DAY, -2, CAST(GETDATE() as DATE)) 
) OR 
    (DATENAME(WEEKDAY, GETDATE()) NOT IN ('Sunday', 'Monday') AND 
    convert(date,AddDate) = DATEADD(DAY, -1, CAST(GETDATE() as DATE)) 
)) AS AccountsCount 
    Group by AccountsCount.AccountClass 
    """ 

df = pd.read_sql_query(script,cnxn) 
writer = pd.ExcelWriter ('ExcelFile.xlsx') 
df.to_excel(writer, sheet_name = 'Data Export') 
writer.save() 

xlApp = win32com.client.DispatchEx('Excel.Application') 
xlsPath = ('OtherExcelFile.xlsm') 
wb = xlApp.Workbooks.Open(Filename=xlsPath) 
xlApp.Run('CopyIntoOutlook') 
wb.Save() 
xlApp.Quit() 

所有我需要做的就是添加第二个和完全独立的SQL命令,这个脚本它运行绝对完美和做什么,我需要做的就是以上。我的其他脚本是这样

script= """ select AccountClass, COUNT(*) as Count 
    FROM XXXX.dbo.table 
    where SubNo='001' 
    AND AddDate >= '1/1/2017' 
    Group by AccountClass """ 

我曾与任何没有运气,据我已经试过如添加到脚本,任何帮助是非常apprecaited!您会注意到第二个脚本使用的是与原始数据库相同的表格,我只需要YTD数据以及前一天查看的顶部查询。

+1

您有什么问题?只需用'pd.read_sql_query()'执行第二个查询' – Barmar

+0

为什么当你清楚地使用SQL-Server时,你有这个带标签的'mysql'? – Barmar

+0

你想要的输出是什么?第二个查询作为新的Excel工作表?运行相同的过程,但更改'SELECT'语句和目标工作表。 – Parfait

回答

0

更新:

我能想出解决办法,下write.save下面写()

script2= """ 
select AccountClass, COUNT(*) as Count 
FROM XXXX.dbo.table 
where SubNo='001' 
AND AddDate >= '1/1/2017' 
Group by AccountClass 
""" 

df2 = pd.read_sql_query(script2,cnxn) 
writer = pd.ExcelWriter ('ExcelFile.xlsx') 
df.to_excel(writer, sheet_name = 'Data Export') 
writer.save()