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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。
您有什么问题?只需用'pd.read_sql_query()'执行第二个查询' – Barmar
为什么当你清楚地使用SQL-Server时,你有这个带标签的'mysql'? – Barmar
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