使用Pandas处理数据的时候，经常会遇到重复值。下列说法中错误的是 A: duplicated()返回值中用1表示重复，0表示不重复 B: duplicated()用于判断某行是否存在重复 C: duplicated()返回一个Series对象 D: duplicated()不能删除重复值

Pandas包中，统计数据框中重复数据的数目的方法是（ ）。 A: sum() B: duplicated() C: count() D: duplicated().sum()

Hisincompetenceinthemanagerialpostisaclearproofofhis______resume. A: formulated B: fabricated C: contemplated D: duplicated

5. Scientists hope the work done ____________ other researchers may be duplicated elsewhere. A. as collaboration with B. by collaboration with C. in collaboration to D. in collaboration with

The fist sentence in this paragraph is______; it can be interpreted in many ways. A: intricate B: B. ambiguous C: C. duplicated D: D. confused

在数据清洗中，下列哪个方法可以填充缺失值( )。 A: dropna B: duplicated C: replace D: fillna

The headquarters of this textile company is in London while its 20 ______ companies are located in different parts of the world. A: duplicated B: subsidiary C: inferior D: inclusive

The headquarters of this textile company is in London while its 20<br/>________companies are located in different parts of the world. A: duplicated B: subsidiary C: inferior D: inclusive

以下方法中可以用于实现数据框中重复数据删除的函数是（ ） A: duplicated B: drop_duplicated C: fillna D: dropna

下列关于重复值处理的说法中，正确的是（）。 A: duplicated()方法可以标记重复数据 B: drop_duplicates()方法用于删除重复数据 C: 重复数据的判断标准是两个数据中所有条目的值都相等 D: duplicated()方法支持从前向后和从后向前两种查找模式