大 pandas 是否支持将多个表中的数据读取到一个数据框中? [英] Does pandas support reading data from multiple tables into a dataframe?

问题描述

我正在使用熊猫将SQLl输出读取到数据帧中.我正在调用一个存储过程，该存储过程返回表输出.以下代码可以正常工作.如果我的存储过程返回多个表输出[1]，那么如何从数据帧中读取这些输出.我想将不同的表输出写入不同的Excel工作表

I'm using pandas to read SQLl output into a dataframe. I'm calling a stored procedure which returns a table output. Following code works fine.If my stored procedure return more than one table outputs[1], How can I read those from dataframe. I want to write different table outputs into different excel sheets

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

推荐答案

我希望这可以为您提供帮助:

I hope this can help you :

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()

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