[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f81oiqct0V_t_pLfCtgZPfvjsZ86OE_0KoMGI8SvpbtY":3},{"id":4,"source":5,"question":6,"options":7,"answer":12,"related":13,"type":24,"origin":103,"createTime":68},111148509,"v1","在下列选项中可以进行缺失值替换的是",[8,9,10,11],"dropna()方法","fillna()方法","isnull()方法","notnull()方法",[],[14,27,35,42,52,62,69,73,83,93],{"id":15,"source":5,"question":16,"options":17,"answer":22,"related":23,"type":24,"origin":25,"createTime":26},111148503,"在下列选项中,可以进行主键合并的是",[18,19,20,21],"merge","concat","append()","combine_first()",[],[],0,null,"2023-12-05T16:10:27+08:00",{"id":28,"source":5,"question":29,"options":30,"answer":33,"related":34,"type":24,"origin":25,"createTime":26},111148504,"在下列选项中,可以进行横向堆叠的是",[18,19,31,32],"join()","conbine_first()",[],[],{"id":36,"source":5,"question":37,"options":38,"answer":40,"related":41,"type":24,"origin":25,"createTime":26},111148505,"在下列选项中,可以进行重叠合并的是",[18,19,20,39],"conbine_firt()",[],[],{"id":43,"source":5,"question":44,"options":45,"answer":50,"related":51,"type":24,"origin":25,"createTime":26},111148506,"下列关于pandas中drop_duplicates()方法的说法正确的是",[46,47,48,49],"drop_duplicates()是常用的主键合并方法,能够实现左连接和右连接","drop_duplicates()方法只对DataFrame有效","drop_duplicates()方法仅支持单一特征数据去重","drop_duplicates()方法不会改变原数据的排列",[],[],{"id":53,"source":5,"question":54,"options":55,"answer":60,"related":61,"type":24,"origin":25,"createTime":26},111148507,"下列关于特征去重的说法错误的是",[56,57,58,59],"corr()方法可用过相似矩阵去重","可通过equals()方法进行特征去重","相似度矩阵去重可对任意类型的重复特征去重","相似度矩阵去重只能对数值型的重复特征去重",[],[],{"id":63,"source":5,"question":64,"options":65,"answer":66,"related":67,"type":24,"origin":25,"createTime":68},111148508,"在下列选项中可以进行特征删除的是",[8,9,10,11],[],[],"2023-12-05T16:10:28+08:00",{"id":4,"source":5,"question":6,"options":70,"answer":71,"related":72,"type":24,"origin":25,"createTime":68},[8,9,10,11],[],[],{"id":74,"source":5,"question":75,"options":76,"answer":81,"related":82,"type":24,"origin":25,"createTime":68},111148510,"下列关于插值法的说法错误的是",[77,78,79,80],"常见的插值法有线性插值、多项式插值和样条插值","线性插值通过求解线性方程得到缺失值","常见的线性插值有拉格朗日插值和牛顿插值","pandas中interpolate()方法可进行插值操作",[],[],{"id":84,"source":5,"question":85,"options":86,"answer":91,"related":92,"type":24,"origin":25,"createTime":68},111148512,"在下列选项中,可以进行哑变量处理的是",[87,88,89,90],"cut函数","get_cut函数","dummies函数","get_dummies函数",[],[],{"id":94,"source":5,"question":95,"options":96,"answer":101,"related":102,"type":24,"origin":25,"createTime":68},111148514,"在下列选项中不属于检测与处理缺失值的方法的是",[97,98,99,100],"插值法","替换法","哑变量处理","删除法",[],[],{"courseName":104,"courseImg":105,"workName":106,"workId":106,"count":24,"courseId":107},"大数据处理及应用","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F25b30343053994e8940089572d36015b.jpg","","cd4ecb098f671fe108350ce389b63664"]