[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fg522utd66OZRFEQ2X-joOy1iPskDevOpKoA_Ay4XaJw":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":27,"type":48},[],"2024-03-08 17:05:46",133362643,[8,9,10,11],"datasets.load_*()","datasets.fetch_*()","datasets.make_*()","datasets.obtain_*()",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},14,"0a865512b533dced36d32e69e7c50a99","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F0f2772b83425d69d19f6561a914627d8.jpg","健康医疗大数据挖掘与应用","work_32525783","作业测验--第2章 Python数据挖掘工具","Scikit-Learn的datasets模块中能够获取大规模数据集的函数是( )",[21,29,34,39,49,52,61,70,79,88],{"answer":22,"createTime":23,"id":24,"options":25,"question":26,"source":27,"type":28},[],"2024-03-04 20:39:40",132995041,[],"抗震规范按场地上建筑物震害轻重的程度,把建筑场地划分为对建筑抗震有利、___________、__________的地段","v1",2,{"answer":30,"createTime":23,"id":31,"options":32,"question":33,"source":27,"type":28},[],132995042,[],"选择建筑场地时,应根据工程地质相关资料,对抗震有利、一般、不利和危险地段做出综合评价.对________地段,应提出避开要求.对_______地段,严禁建造甲乙类建筑,不应建造丙类建筑",{"answer":35,"createTime":23,"id":36,"options":37,"question":38,"source":27,"type":28},[],132995043,[],"抗震等级为一级的框架梁、柱、节点核芯区,混凝土不应低于______;构造柱、圈梁,混凝土强度等级不低于______",{"answer":40,"createTime":23,"id":41,"options":42,"question":47,"source":27,"type":48},[],132995044,[43,44,45,46],"软弱地基上的刚性较大的建筑物","软弱地基上的柔性较大的建筑物","覆盖层较厚上的建筑物","自振周期与地基卓越周期接近的建筑物","19. 下面哪类建筑物最易发生破坏( )",0,{"answer":50,"createTime":5,"id":6,"options":51,"question":19,"source":27,"type":48},[],[8,9,10,11],{"answer":53,"createTime":5,"id":54,"options":55,"question":60,"source":27,"type":48},[],133362644,[56,57,58,59],"NumPy能够将序列数据转换为N维数组ndarray","ndarray是个同构数据容器,所有元素具有相同数据类型","NumPy能够利用linspace()创建一维等比数组ndarray","ndarray所有元素在内存中具有相同大小的存储区域","以下关于N维数组ndarray的描述,错误的是( )",{"answer":62,"createTime":5,"id":63,"options":64,"question":69,"source":27,"type":48},[],133362646,[65,66,67,68],"[6 7]","[1 2]","[2 3]","[5 6]","依次执行以下命令后,print(nda[1,2:4])命令结果是( ). import numpy as np nda=np.arange(12).reshape(3,4)",{"answer":71,"createTime":5,"id":72,"options":73,"question":78,"source":27,"type":48},[],133362649,[74,75,76,77],"2和3","2和6","1和6","1和3","依次执行以下命令后,nda.ndim和nda.size结果分别是( ). import numpy as np nda=np.array(([1,2,3], [4,5,6]))",{"answer":80,"createTime":5,"id":81,"options":82,"question":87,"source":27,"type":48},[],133362651,[83,84,85,86],"Pandas数据结构DataFrame只能通过直接传入等长列表或NumPy数组创建","Pandas数据结构Series是一维数组对象,包含一个值序列和数据标签(索引)","Pandas数据结构DataFrame是二维表格对象,包含一组有序的值序列,且包含行索引和列索引","Pandas数据结构Series可以通过列表或字典创建","以下关于Pandas数据结构的描述,错误的是( )",{"answer":89,"createTime":5,"id":90,"options":91,"question":96,"source":27,"type":48},[],133362655,[92,93,94,95],"Pandas重建索引是对索引重新命名,而不是重新排序","Pandas索引对象负责管理轴标签、轴名称等元数据","Pandas索引对象不能修改,但可以重建索引、更新索引或还原索引","Pandas重建索引可能引入缺失值,缺失值可以通过设置参数fill_value填充","以下关于Pandas索引对象的描述,错误的是( )"]