[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fnpJPRGiDmnUZLLNrA_BGPw5olTnoZfhw5eb4hJ0If9Q":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2026-05-26 13:12:23",195814328,[8,9,10,11],"equal","match","same","equals",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},22,"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","829e79e8147b4b6ca623debaaddda5a4","章节小测","在pandas中,使用哪个方法可以判断两个DataFrame是否完全相同",[21,32,41,49,52,61,71,80,89,98],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],195814290,[25,26,27,28],"drop_duplicates","unique","dropna","remove_duplicates","在pandas中,使用哪个方法可以去除DataFrame中的重复记录","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],195814305,[36,37,38,39],"keep","inplace","subset","ignore_index","在pandas中,如果想要去除DataFrame中所有重复的行,应该设置drop_duplicates()方法的哪个参数",{"answer":42,"createTime":5,"id":43,"options":44,"question":48,"source":30,"type":31},[],195814318,[45,46,47,11],"similarity","corr","compare","在pandas中,使用哪个方法可以计算两个特征之间的相似度",{"answer":50,"createTime":5,"id":6,"options":51,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":53,"createTime":5,"id":54,"options":55,"question":60,"source":30,"type":31},[],195814345,[56,57,58,59],"subset = None","axis = 1","how = 'any'","thresh = 1","在pandas中使用`dropna()`方法时,如果希望删除包含任何缺失值的行,应该设置哪个参数",{"answer":62,"createTime":63,"id":64,"options":65,"question":70,"source":30,"type":31},[],"2025-06-07 14:46:57",195814354,[66,67,68,69],"(&mu;-2&sigma;, &mu;+2&sigma;)","(&mu;-3&sigma;, &mu;+3&sigma;)","(&mu;-4&sigma;, &mu;+4&sigma;)","(&mu;-1&sigma;, &mu;+1&sigma;)","在3&sigma;原则中,数据的数值分布几乎全部集中在哪个区间内",{"answer":72,"createTime":5,"id":73,"options":74,"question":79,"source":30,"type":31},[],195814377,[75,76,77,78],"上四分位数QU与下四分位数QL之积","上四分位数QU与下四分位数QL之差","上四分位数QU与下四分位数QL之和","上四分位数QU与下四分位数QL之商","在箱线图中,IQR是指什么",{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":30,"type":31},[],195814381,[84,85,86,87],"不到0.3%","不到1%","不到0.1%","不到0.5%","在3&sigma;原则中,超出(&mu;-3&sigma;, &mu;+3&sigma;)区间的异常数据占比是多少",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":30,"type":31},[],195814404,[93,94,95,96],"QL是下四分位数,QU是上四分位数","QL是中位数,QU是最大值","QL是最小值,QU是中位数","QL是上四分位数,QU是下四分位数","在箱线图中,QL和QU分别代表什么",{"answer":99,"createTime":5,"id":100,"options":101,"question":106,"source":30,"type":107},[],195814422,[102,103,104,105],"默认情况下,它会使用所有列来判断重复行","它可以依据DataFrame的一个或多个特征进行去重操作","它会改变数据原始排列","它只支持单一特征的数据去重","关于pandas中的drop_duplicates()方法,下列说法正确的是",1]