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  • pandas 流式导出excel

    1,下载pandas和sqlalchemy

    2,开始利用pandas导出

    import pandas as pd
    from sqlalchemy import create_engine
    from io import BytesIO
    from django.shortcuts import HttpResponse
    outfile = BytesIO()
    engine = create_engine('mysql+pymysql://root:Yimeijian@163.cn@106.75.7.128:3306/channel_statistics') 
    sql
    = 'select name,code,channel_type,pay_type from channel_channel where channel_p_id is not NULL '
    df
    =pd.read_sql_query(sql,engine) #先读取数据库中的数据

    df = df.rename(columns={    #修改数据库中列的名称
    'name':'名字',
    'code':'refer',
    'channel_type':'渠道类型',
    'pay_type':'付款类型',
    })

    response = HttpResponse(content_type='application/vnd.ms-excel')
    execl_name = 'test'
    response['Content-Disposition'] = 'attachment;filename={0}.xlsx'.format(execl_name)
    df.to_excel(outfile,index=False)     #形成流式导出
    response.write(by.getvalue())
    return response
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  • 原文地址:https://www.cnblogs.com/52forjie/p/10438802.html
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