#0100

Revenue Share Within Group

MediumPandas25 min20 XP

Problem

Given a DataFrame with category and revenue, return a copy with revenue_share equal to row revenue divided by total revenue of its category.

Why This Matters

transform is essential when you need group-level statistics aligned back to original rows.

Function Signature

def add_revenue_share(df):

Examples

Example 1

InputA: 20, A: 30, B: 10

OutputA shares 0.4 and 0.6; B share 1.0

Each row divides by its category total.

Constraints

Return the exact structure requested.
Handle the edge cases mentioned in the prompt.
Prefer clear logic over clever one-liners.

CodePython

import pandas as pd

def add_revenue_share(df):
    """
    Input example: A: 20, A: 30, B: 10
    Return: A shares 0.4 and 0.6; B share 1.0
    Return the value from the function so the tests can compare it. Do not print unless the prompt asks.
    """
    # write your code here
    return df

import pandas as pd

def add_revenue_share(df):
    """
    Input example: A: 20, A: 30, B: 10
    Return: A shares 0.4 and 0.6; B share 1.0
    Return the value from the function so the tests can compare it. Do not print unless the prompt asks.
    """
    # write your code here
    return df

Visible browser tests run here when available.

Testcases1 visible / 3 hidden categories

Core example

InputA: 20, A: 30, B: 10

ExpectedA shares 0.4 and 0.6; B share 1.0

Each row divides by its category total.

Hidden Test Categories

single row groupdecimal revenueinput not mutated