Sort and reset

A safe working copy · W06 · 8 MIN

Sort records and give the result a simple index.

Exercises within this concept

FollowFollow the techniqueCurrent exercise
ChangeAdapt a requirement
TransferChoose and combine

Understand the idea

Sorting moves the existing index labels with their rows. Resetting the index creates new labels 0, 1, 2, ….

Illustration · not the exercise output

A small example

After sorting, labels might be [2, 0, 1]. reset_index(drop=True) changes them to [0, 1, 2].

Follow the code

Apply the idea to the supplied table. Read from top to bottom; the final line displays the result.

df = df.sort_values("price").reset_index(drop=True)
df

What each part does

sort_values("price"): order smallest to largest
reset_index(drop=True): a fresh consecutive index
.: chain the next operation on the returned table

Your inputs

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

Candy shop · 6 synthetic rows
candy	flavour	price	rating	shelf
Gummy Bear	fruity	1.2	4.1	A
Choco Pop	chocolate	2.1	4.6	B
Mint Bite	mint	1.5	3.8	A
Berry Loop	fruity	2.8	4.4	B
Cocoa Cube	chocolate	3.4	4.9	A
Lemon Drop	fruity	1.8	4	B

Your task · Follow

Sort df by price, smallest first, then reset its index without adding a column.
Keep the changes in df and display it.
Use: sort_values(), reset_index().

Hint

Sort whole rows before resetting their index; drop=True avoids adding the old labels as a column.

Reveal solution

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

df = df.sort_values("price").reset_index(drop=True)
df

Your task · Follow

Sort df by price, smallest first, then reset its index without adding a column.
Keep the changes in df and display it.
Use: sort_values(), reset_index().

YOUR PYTHON

Tab: indent · Shift+Tab: outdent · Esc, then Tab: leave editor

# Supplied setup — editable
import pandas as pd

data = {
    "candy": [
        "Gummy Bear",
        "Choco Pop",
        "Mint Bite",
        "Berry Loop",
        "Cocoa Cube",
        "Lemon Drop",
    ],
    "flavour": ["fruity", "chocolate", "mint", "fruity", "chocolate", "fruity"],
    "price": [1.2, 2.1, 1.5, 2.8, 3.4, 1.8],
    "rating": [4.1, 4.6, 3.8, 4.4, 4.9, 4],
    "shelf": ["A", "B", "A", "B", "A", "B"],
}

df = pd.DataFrame(data)

# Your work
df = ____
df

Each run executes all editor code in a fresh Python session. Display a value by leaving it on the final line.

Python starts when you open a lesson.

Output

Run your code to see what Python returns.