Question15 Which of the following is a key feature of a Pandas Series? Select one alternative: (a) Multidimensional structure (b) Labeled index (c) Mixed types in a single column (d) SQL integration ResetMaximum marks: 3 Flag question undefined单项选择题
A
(a) Multidimensional structure
B
(b) Labeled index
C
(c) Mixed types in a single column
D
(d) SQL integration

Question

Question15 Which of the following is a key feature of a Pandas Series? Select one alternative: (a) Multidimensional structure (b) Labeled index (c) Mixed types in a single column (d) SQL integration ResetMaximum marks: 3 Flag question undefined单项选择题

A

(a) Multidimensional structure

B

(b) Labeled index

C

(c) Mixed types in a single column

D

(d) SQL integration

BlackTom AI · Accepted Answer

In this question, we’re identifying a key feature of a Pandas Series among four options.
Option (a) Multidimensional structure: This is a description more fitting for a Pandas DataFrame, which is a 2D structure, not a 1D Series. Therefore this statement is inaccurate for a Series.
Option (b) Labeled index: This accurately reflects a fundamental property of a Pandas Series. Each element in a Series is associated with a labeled index, allowing for label-based access and alignment during operations. This is the hallmark feature that distinguishes Series from a plain 1D array.
Option (c) Mixed types in a single column: While a Series can hold various dtypes, in practice a Series has a single dtype that applies to all elements, and attempting to store mixed types often results in a common supertype (like object). Thus describing it as inherently supporting mixed types in a single column is misleading.
Option (d) SQL integration: Pandas Series does not inherently provide SQL integration as a core feature; SQL interaction is not a defining characteristic of a Series itself, though Pandas can read from or write to SQL databases via additional methods. Hence this option is not a key feature.
Overall, option (b) correctly identifies the distinguishing feature of a Pandas Series, while the other options describe aspects associated with other data structures or mischaracterize Series capabilities.

Question15 Which of the following is a key feature of a Pandas Series? Select one alternative: (a) Multidimensional structure (b) Labeled index (c) Mixed types in a single column (d) SQL integration ResetMaximum marks: 3 Flag question undefined单项选择题

类似问题

What type of data structure is a Pandas Series exactly?

What type of data structure is a Pandas Series?

Question21 Which of the following correctly describes a Series in Python using the Pandas library? Select one alternative: A table with rows and columns A fixed-size 2D array A 3D matrix holder A one-dimensional labeled array ResetMaximum marks: 2 Flag question undefined

Q11 .apply operation will perform more efficiently when applied to which of the following pandas data structures?

True or False? While Series.head() will return us the first five rows of the Series by default, Series.nlargest() will return us the five rows corresponding to the largest values in the Series by default.

Which of the following can you use to obtain the maximum value in a Pandas Series, s? Assume there are no missing values in s.

Question18 What is the structure of ‘ser3‘ after executing the following Pandas code: Select one alternative: A 5.0B 7.0C 9.0 AD 5BC 7CB 9 A 1.0B 8.0C 8.0D 4.0 A NaNB 8.0C 8.0D NaN None of the above ResetMaximum marks: 3 Flag question undefined

Question7 Pandas automatically aligns Series by index when performing arithmetic. Select one alternative: True False ResetMaximum marks: 2 Flag question undefined

更多留学生实用工具

智能学习助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单