[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fFnuo43jG6Jqvv-0YlRWV8ADUbyBCfhcRFD-Ld-rZwio":3},{"id":4,"source":5,"question":6,"options":7,"answer":12,"related":13,"type":24,"origin":112,"createTime":26},200001700,"v1","关于pandas库的Series对象,哪个说法是正确的?‪‪‪‪‪‫‪",[8,9,10,11],"Series是一维带索引的数组,索引可由用户自定义","Series是一维数组,与ndarray一样","Series本质上是二维数组","Series可以表示多维数据,可以构造多维索引",[],[14,27,37,47,57,61,71,81,91,101],{"id":15,"source":5,"question":16,"options":17,"answer":22,"related":23,"type":24,"origin":25,"createTime":26},200001681,"pandas库与numpy库,如下哪个说法是不正确的?‪‬‪‬‪‬‪‬‪‬‮‬‭‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‮‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‮‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‮",[18,19,20,21],"pandas库不能表示n维(n>2)数据","pandas库是基于numpy库开发实现的","numpy库更关心数据间关系,pandas库更关心数据与索引间的关系","pandas库的每个维度都有索引与之关联",[],[],0,null,"2025-06-13T16:13:28+08:00",{"id":28,"source":5,"question":29,"options":30,"answer":35,"related":36,"type":24,"origin":25,"createTime":26},200001686,"pandas库中的Series对象最不可能从如下哪个类型创建?‪‬‪‬‪‬‪‬‪‬‮‬‭‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‮‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‮‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‮",[31,32,33,34],"Python的用户自定义对象类型","Python的列表类型","numpy的ndarray类型","Python的字典类型",[],[],{"id":38,"source":5,"question":39,"options":40,"answer":45,"related":46,"type":24,"origin":25,"createTime":26},200001691,"import pandas as pd a=pd.Series([1,2,3,4],['a','b','c','d']) 其中,'a'是什么",[41,42,43,44],"第一维数据","第二维数据","数据","数据对应的索引",[],[],{"id":48,"source":5,"question":49,"options":50,"answer":55,"related":56,"type":24,"origin":25,"createTime":26},200001696,"import pandas as pd a=pd.Series([1,2,3],['b','c','e']) b=pd.Series([5,2,3,4],['a','b','c','d']) 由于a和b中数据个数不同,哪个关于a+b的说法是正确的",[51,52,53,54],"不考虑索引,直接按照左对齐方式运算","根据索引运算,缺项补NaN","根据索引运算,缺项补0","不考虑索引,缺少的元素补NaN",[],[],{"id":4,"source":5,"question":6,"options":58,"answer":59,"related":60,"type":24,"origin":25,"createTime":26},[8,9,10,11],[],[],{"id":62,"source":5,"question":63,"options":64,"answer":69,"related":70,"type":24,"origin":25,"createTime":26},200001707,"a是一个Series对象,共4个元素,请问,a>0的结果是什么?‪‬‪‬‪‬‪‬‪‬‮‬‭‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‮‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‮‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‮",[65,66,67,68],"一个值,0或NaN","一个Series对象,每个值是True或False","一个Series对象,每个值0或者原值","一个布尔值,True或False",[],[],{"id":72,"source":5,"question":73,"options":74,"answer":79,"related":80,"type":24,"origin":25,"createTime":26},200001713,"通过Series的dict创建DataFrame时,dict的键默认作为DataFrame对象的()",[75,76,77,78],"行索引","列索引","值","以上均不对",[],[],{"id":82,"source":5,"question":83,"options":84,"answer":89,"related":90,"type":24,"origin":25,"createTime":26},200001722,"对于DataFrame对象,以下说法错误的是( )",[85,86,87,88],"DataFrame对象是一个表格型的数据结构","DataFrame对象的列是有序的","DataFrame对象列与列之间的数据类型可以互不相同","DataFrame对象每一行不是一个Series对象",[],[],{"id":92,"source":5,"question":93,"options":94,"answer":99,"related":100,"type":24,"origin":25,"createTime":26},200001729,"DataFrame的行索引、列索引与数据分别通过()、()、()这三个属性获取",[95,96,97,98],"columns, rows, data","rows, columns, value","columns, index, data","index, columns, value",[],[],{"id":102,"source":5,"question":103,"options":104,"answer":109,"related":110,"type":24,"origin":25,"createTime":111},200001734,"Series是Pandas中重要的数据类型,如下代码最后一行的输出结果应该为() disc = {'a':1, 'b':2, 'c':3} obj_d = Series(disc, index = ['a', 'b', 'd']) print(obj_d[d])",[105,106,107,108],"2","3","c","NaN",[],[],"2025-06-13T16:13:29+08:00",{"courseName":113,"courseImg":114,"workName":115,"workId":116,"count":117,"courseId":118},"Python程序设计","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fc8edfcda34539cbf01d2000ee9346efe.jpg","项目一 任务六","work_44193751",26,"9b31439cd0384b436c9f6620a5a03f2c"]