[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fqb5zmNLhNTH7BNLS7CjECyIOqoTNzZzBP6MFSAZlacA":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":24,"type":25},[],"2025-11-26 10:30:04",242321694,[8,9,10,11],"df.col_name","df['col_name']","df.get('col_name')","以上三种都可以",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},10,"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","work_48540573","作业三","在pandas的DataFrame对象df中,获取列名为'col_name'的列数据,可行的操作是( )",[21,26,35,44,53,62,71,80,90,99],{"answer":22,"createTime":5,"id":6,"options":23,"question":19,"source":24,"type":25},[],[8,9,10,11],"v1",0,{"answer":27,"createTime":5,"id":28,"options":29,"question":34,"source":24,"type":25},[],242321695,[30,31,32,33],"read_csv()","read_excel()","read_json()","read_html()","在pandas库中,用于读取 Excel 文件数据的函数是( )",{"answer":36,"createTime":5,"id":37,"options":38,"question":43,"source":24,"type":25},[],242321696,[39,40,41,42],"numpy","matplotlib","pandas","scikit-learn","以下哪个库主要用于数据处理和分析,提供了 DataFrame 数据结构",{"answer":45,"createTime":5,"id":46,"options":47,"question":52,"source":24,"type":25},[],242321697,[48,49,50,51],"df [' 列名 ']","df.column (' 列名 ')","df.get_column (' 列名 ')","df.fetch (' 列名 ')","在 pandas 的 DataFrame 中,获取某一列数据的方式是",{"answer":54,"createTime":5,"id":55,"options":56,"question":61,"source":24,"type":25},[],242321698,[57,58,59,60],"df.head()","df.tail()","df.sample(5)","df.drop()","如何查看DataFrame的前5行数据",{"answer":63,"createTime":5,"id":64,"options":65,"question":70,"source":24,"type":25},[],242321699,[66,67,68,69],"df.rename(columns={'old_name':'new_name'})","df.rename({'old_name':'new_name'})","df.columns = ['new_name']","A和C都可以","要重命名DataFrame的列,应该使用",{"answer":72,"createTime":5,"id":73,"options":74,"question":79,"source":24,"type":25},[],242321700,[75,76,77,78],"df.mean()","df.count()","df.describe()","df.info()","要计算某列的描述性统计(均值、标准差、四分位数等),应该使用",{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":24,"type":89},[],242321701,[84,85,86,87],"df['column_name']","df[0:5]","df.loc[]","df.iloc[]","以下哪种方法可以同时选择特定的行和列",1,{"answer":91,"createTime":92,"id":93,"options":94,"question":97,"source":24,"type":98},[],"2025-11-26 10:31:21",242323413,[95,96],"正确","错误","在 pandas 的 DataFrame 中,某一列的数据类型必须保持一致",3,{"answer":100,"createTime":92,"id":101,"options":102,"question":103,"source":24,"type":98},[],242323414,[95,96],"使用 pandas 库读取 Excel 文件时,只能读取第一个工作表的数据.( )"]