Coding Question: Which method would you use in Python to drop missing values in a DataFrame?

Question

BlackTom AI · Accepted Answer

We’re asked which Python method would drop missing values from a DataFrame in pandas. 
Option a: DataFrame.dropna() — This is the standard pandas method designed to remove rows (or columns, with axis parameter) that contain missing values. It’s the correct approach for dropping missing data.
Option b: DataFrame.replace() — This method substitutes specified values with other values. It does not automatically remove rows or columns with missing values, so it isn’t appropriate for dropping NaNs by default.
Option c: DataFrame.impute() — There is no built-in DataFrame.impute() method in pandas. Imputation is typically done via external libraries (like sklearn) or manual techniques, but this option does not exist as a pandas DataFrame method.
Option d: DataFrame.fillna() — This method fills in missing values with a specified value or strategy, rather than dropping them. It can be used to replace NaNs, but it does not drop them outright unless combined with filtering, so it’s not the drop operation itself.
In summary, among the given choices, the function specifically designed to remove missing values from a DataFrame is DataFrame.dropna(), while the other options either replace, do not exist, or perform filling rather than dropping. The justification hinges on understanding that dropna() performs the actual removal of missing data, whereas replace() and fillna() handle substitutions, and impute() is not a standard pandas method.

Coding Question: Which method would you use in Python to drop missing values in a DataFrame?单项选择题

类似问题

Which of the following data validation techniques can be used to handle missing values?

Which of the following is NOT a suggested way to address empty fields?

Q36. You are working with two variables: is_local_guide: 1 if the reviewer is a Local Guide, missing otherwise review_text: text of the review, missing if the user did not leave a comment Which of the following correctly handles missing values?

Which of the following trees corresponds to a potential parse of the ambiguous sentence below, with correct syntactic categories? Some diagnostics are provided.

Which of the following sentences contain two non-finite verbs? Select all that apply.

Analyze the following sentence: The sentence contains [ Select ] 8 6 5 7 3 4 functional words, [ Select ] 2 3 1 4 5 count nouns, [ Select ] 4 5 2 1 3 mass nouns, and [ Select ] 1 5 2 3 4 adjectives.

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