#0171

Percent of Group Total

MediumPandas25 min20 XP

Problem

Given category and amount columns, add share_in_category = amount divided by total amount for that category.

Why This Matters

Percent-of-total features are common in sales reporting, customer behavior, and model features.

Function Signature

def add_group_share(df):

Examples

Example 1

Inputcategory A amounts 20 and 80; category B amount 50

OutputA shares 0.2 and 0.8; B share 1.0

transform returns one total per original row, so division aligns naturally.

Constraints

Return the exact requested output.
Handle ordinary edge cases.
Prefer simple, interview-readable code.

CodePython

import pandas as pd

def add_group_share(df):
    """
    Input example: category A amounts 20 and 80; category B amount 50
    Return: A shares 0.2 and 0.8; 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_group_share(df):
    """
    Input example: category A amounts 20 and 80; category B amount 50
    Return: A shares 0.2 and 0.8; 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

Inputcategory A amounts 20 and 80; category B amount 50

ExpectedA shares 0.2 and 0.8; B share 1.0

transform returns one total per original row, so division aligns naturally.

Hidden Test Categories

empty or minimal inputduplicates or tieslarger input