920199115 发表于 2021-3-17 19:38:05

数据分析小白求助



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请问一下这个问题怎么解决呀,这个包我试过安装但还是不管用

私はり 发表于 2021-3-18 09:57:55

你可以把代码发上来
不然别人不是很好给你提建议
页: [1]
查看完整版本: 数据分析小白求助