A DataFrame 'df' has a non-integer index with labels ['alpha', 'beta', 'gamma', 'delta'] and columns ['p', 'q', 'r']. An analyst wants to select rows 'beta' through 'delta' and columns 'p' and 'q'. Which code correctly performs this selection?

df.loc['beta':'delta', ['p', 'q']]

df.iloc['beta':'delta', ['p', 'q']]

Python InstitutePCAD - Certified Associate in Data Analytics with Python

Domain 4Objective 1

Data Analysis with Pandas and NumPy PCAD-31 Practice Questions (Page 6)

Part of the Data Analysis and Modeling domain, which accounts for 18.8% of the PCAD-31 exam. Python Institute does not publish an official question count, but from its 60-minute exam (~25–40 total, ~5–5 in this domain), expect 3–3 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)

26questions here

6free pages

12concepts

18.8%of the exam

Questions 26–26

26application · medium
A DataFrame 'df' has a non-integer index with labels ['alpha', 'beta', 'gamma', 'delta'] and columns ['p', 'q', 'r']. An analyst wants to select rows 'beta' through 'delta' and columns 'p' and 'q'. Which code correctly performs this selection?
Select an answer first

Finished these 1 questions?

Review the revealed explanations, or continue through the curriculum.

No more pagesBack to PCAD-31

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Python Institute. “PCAD-31” is a trademark of its owner, used for identification only.

Data Analysis with Pandas and NumPy PCAD-31 Practice Questions (Page 6)

Questions 26–26

A DataFrame 'df' has a non-integer index with labels ['alpha', 'beta', 'gamma', 'delta'] and columns ['p', 'q', 'r']. An analyst wants to select rows 'beta' through 'delta' and columns 'p' and 'q'. Which code correctly performs this selection?

Keep studying — Data Analysis and Modeling