2017-08-10 225 views
-1

我正在Python中使用以下代碼模板(使用Atom構建/寫入)。如何在Python腳本中執行多個SQL語句?

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個和完全獨立的SQL命令,這個腳本它運行絕對完美和做什麼,我需要做的就是以上。我的其他腳本是這樣

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

我曾與任何沒有運氣,據我已經試過如添加到腳本,任何幫助是非常apprecaited!您會注意到第二個腳本使用的是與原始數據庫相同的表格,我只需要YTD數據以及前一天查看的頂部查詢。

+1

您有什麼問題?只需用'pd.read_sql_query()'執行第二個查詢' – Barmar

+0

爲什麼當你清楚地使用SQL-Server時,你有這個帶標籤的'mysql'? – Barmar

+0

你想要的輸出是什麼?第二個查詢作爲新的Excel工作表?運行相同的過程,但更改'SELECT'語句和目標工作表。 – Parfait

回答

0

更新:

我能想出解決辦法,下write.save下面寫()

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()