[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fgFir1d8hcuak6Vy5vLeMxcappABdKPuMg9THACkd3SI":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2023-06-05 11:12:16",46784471,[8,9,10,11],"shift()","date_range()","period_range()","asfreq()",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},10,"d75a6abf90f0ed9957f1c224f8f36ebc","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F642cc9de427fbfa5c5a5b485e2794074.jpg","数据分析与可视化","work_28011480","作业16 时间序列分析(2)","下列函数中,用于创建固定频率DatetimeIndex对象的是( )",[21,32,41,49,52,61,70,75,80,85],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],46784468,[25,26,27,28],"Period","DatetimeIndex","PeriodIndex","MultiIndex","下列选项中,不可以用做Pandas对象索引的是( )","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],46784469,[36,37,38,39],"2015-07-18","2015-07-19","2015-07-20","2015-07-21","执行上述程序,最终输出的结果为( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":40,"source":30,"type":31},[],46784470,[45,46,47,48],"2018-08-12 2 2018-08-13 3","2018-08-12 2 2018-08-13 3 2018-08-14 4","2018-08-10 0 2018-08-11 1 2018-08-12 2","2018-08-10 0 2018-08-11 1",{"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},[],46784472,[56,57,58,59],"重采样是将时间序列从一个频率转到另一个频率","升采样的时间颗粒是变小的","时间序列数据在降采样时,总体的数据量是增加的","时间序列数据在降采样时,总体的数据量是减少的","关于重采样的说法中,下列描述错误的是( )",{"answer":62,"createTime":63,"id":64,"options":65,"question":68,"source":30,"type":69},[],"2023-06-05 11:16:15",46790156,[66,67],"正确","错误","任何类型的Pandas对象都可以进行重采样.( )",3,{"answer":71,"createTime":63,"id":72,"options":73,"question":74,"source":30,"type":69},[],46790157,[66,67],"DatetimeIndex是一种用来指代一系列时间戳的索引结构.( )",{"answer":76,"createTime":63,"id":77,"options":78,"question":79,"source":30,"type":69},[],46790158,[66,67],"降采样时可能会导致一些时间戳没有对应的数据.()",{"answer":81,"createTime":63,"id":82,"options":83,"question":84,"source":30,"type":31},[],46790159,[36,37,38,39],"请阅读下面一段程序: import pandas as pd period1 = pd.Period('2015\u002F6\u002F1') print(period1 + 50) 执行上述程序,最终输出的结果为( )",{"answer":86,"createTime":63,"id":87,"options":88,"question":89,"source":30,"type":31},[],46790160,[45,46,47,48],"请阅读下面一段程序: import pandas as pd import numpy as np date_index = pd.date_range(start="2018\u002F08\u002F10", periods=5) date_se = pd.Series(np.arange(5), index=date_index) sorted_se = date_se.sort_index() print(sorted_se.truncate(after='2018-8-11')) 执行上述程序,最终输出的结果为( )"]