Total Pages Read per Library Member

PandasEasyJunior level~10 min

Problem

You are given two DataFrames. `members` (from `members.csv`) has columns `member_id` (the primary key) and `full_name`. `loans` (from `loans.csv`) has columns `loan_id` (the primary key), `member_id`, and `pages_read`; each row records how many pages a member read from one borrowed book.

Report the total pages read by every member. A member with no loans must still appear with a total of 0. Output `member_id`, `full_name`, and the total in a column named `pages read`. Order by `member_id`.

Input data

Example rows — the live problem includes the full dataset.

members

member_id	full_name
3	Priya Nair
7	Diego Alves
12	Hannah Berg
20	Omar Said

loans

loan_id	member_id	pages_read
1	3	120
2	3	80
3	7	300
4	12	45
5	12	60

Expected output

Your answer should return 4 rows with the columns member_id, full_name, pages read.

Starter code (Pandas (Python))

import pandas as pd

def total_pages_per_member(members, loans) -> pd.DataFrame:
    # Your code here
    return members

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