Review · Select with intent · Data Playground

Task 1 · Pet adoption

Create a compact preview of the last two rows of df: show name, then age.

The editable setup on the right creates df. Run executes the setup and your work from top to bottom.

Your requirements

Display a DataFrame.

Your inputs

Pet adoption · 6 synthetic rows
name	species	age	weight	room
Milo	Cat	3	4.2	A
Pepper	Dog	7	18.5	B
Luna	Cat	2	3.6	A
Bean	Rabbit	4	2.4	B
Rex	Dog	5	22	A
Nori	Rabbit	1	1.8	B

Revisit the concept lesson →

Remember the idea

A list of column names keeps a DataFrame, even when the list has just one name. The list also sets the column order.

A small example

df[["age", "name"]] shows age first and name second, with every original row.

What each choice does
Code or choice	Meaning
`df[["age"]]`	Outer brackets select; inner brackets make a list. Result: one-column DataFrame.
`df[["age", "name"]]`	Keep only these fields, in this order.
`df.tail(2)[["name", "age"]]`	Combine a row preview with a column list.

Hint

Combine a row preview with a deliberate column order.

Reveal solution

One way to do it. Keep any supplied setup in the editor and use this in the Your work section.

df.tail(2)[["name", "age"]]

# Supplied setup — editable import pandas as pd data = { "name": ["Milo", "Pepper", "Luna", "Bean", "Rex", "Nori"], "species": ["Cat", "Dog", "Cat", "Rabbit", "Dog", "Rabbit"], "age": [3, 7, 2, 4, 5, 1], "weight": [4.2, 18.5, 3.6, 2.4, 22, 1.8], "room": ["A", "B", "A", "B", "A", "B"], } df = pd.DataFrame(data) # Your work # Retrieve the earlier skill

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