pandas 是否支持将多个表中的数据读取到数据框中？

Question

我正在使用 pandas 将 SQLl 输出读入数据帧。我正在调用一个返回表输出的存储过程。以下代码工作正常。如果我的存储过程返回多个表输出 [1]，我如何从数据框中读取这些。我想将不同的表格输出写入不同的excel表格

query='exec [aa].[dbo].[sp_cc]?,?'
        df = pd.read_sql(query, cnxn, params=[start,end)

        writer = pd.ExcelWriter('output.xlsx')
        df.to_excel(writer, index=False, sheet_name='customers')
        writer.save()

[1]

CREATE procedure [dbo].[usp_vvvv] (....)
  BEGIN
  SET NOCOUNT ON
    .....
    select  *
    FROM #_temp_client_details
    select *
    FROM #_temp_address_details
    select *
    FROM #_temp_invoice_details

    drop table #_temp_client_details
    drop table #_temp_address_details
    drop table #_temp_invoice_details
    ....
    END TRY
    BEGIN CATCH
    ..
     END CATCH
    END

Answer 1

为什么你需要 Pandas 来做这件事？您可以通过多种不同方式直接从 SQL Server 转到 Excel。这是一个适合您的概念。给这只猫剥皮的方法有很多...

Sub ADOExcelSQLServer()
     ' Carl SQL Server Connection
     '
     ' FOR THIS CODE TO WORK
     ' In VBE you need to go Tools References and check Microsoft Active X Data Objects 2.x library
     '

    Dim Cn As ADODB.Connection
    Dim Server_Name As String
    Dim Database_Name As String
    Dim User_ID As String
    Dim Password As String
    Dim SQLStr As String
    Dim rs As ADODB.Recordset
    Set rs = New ADODB.Recordset

    Server_Name = "your_server_name" ' Enter your server name here
    Database_Name = "NORTHWND" ' Enter your database name here
    User_ID = "" ' enter your user ID here
    Password = "" ' Enter your password here
    SQLStr = "SELECT * FROM [Customers]" ' Enter your SQL here

    Set Cn = New ADODB.Connection
    Cn.Open "Driver={SQL Server};Server=" & Server_Name & ";Database=" & Database_Name & _
    ";Uid=" & User_ID & ";Pwd=" & Password & ";"

    rs.Open SQLStr, Cn, adOpenStatic
     ' Dump to spreadsheet
    For iCols = 0 To rs.Fields.Count - 1
        Worksheets("Sheet1").Cells(1, iCols + 1).Value = rs.Fields(iCols).Name
    Next
    With Worksheets("sheet1").Range("a2:z500") ' Enter your sheet name and range here
        '.ClearContents
        .CopyFromRecordset rs
    End With
     '            Tidy up
    rs.Close
    Set rs = Nothing
    Cn.Close
    Set Cn = Nothing
End Sub

Answer 2

希望对你有帮助：

import pandas as pd
import pyodbc

conn = pyodbc.connect('driver={SQL Server};server=xxx.xxx.x.xxx;uid=myuser;pwd=mypass;database=mybd;autocommit=True')
cursor = conn.cursor()
cursor.execute('exec usp_with_2_select')

writer = pd.ExcelWriter('pandas_simple.xlsx', engine='xlsxwriter')

column_names = [col[0] for col in cursor.description]

df1_data = []
for row in cursor.fetchall():
    df1_data.append({name: row[i] for i, name in enumerate(column_names)})

df1 = pd.DataFrame(df1_data)
print(df1)
df1.to_excel(writer,'sheet1')

# this for pass the next result
cursor.nextset ()

df2_data = []
for row in cursor.fetchall():
    df2_data.append({name: row[i] for i, name in enumerate(column_names)})

df2 = pd.DataFrame(df2_data)
print(df2)
df2.to_excel(writer,'sheet2')

writer.save()