Readable Book Due Dates

PandasEasyJunior level~10 min

Problem

You are given a DataFrame `duedates` with a single column `due_on` holding the date (as a string like `'2023-03-14'`) each borrowed library book must be returned.

Turn each `due_on` date into a human-readable string of the form `'weekday, month day, year'`, for example `'Tuesday, March 14, 2023'`. The weekday and month must be full English names, the day has no leading zero, and the year is the four-digit number.

Return a single column named `due_label`, in any order.

Input data

Example rows — the live problem includes the full dataset.

duedates

due_on
2023-03-14
2023-11-23
2024-02-29

Expected output

Your answer should return 3 rows with the columns due_label.

Starter code (Pandas (Python))

import pandas as pd

def readable_due_dates(duedates) -> pd.DataFrame:
    # Your code here
    return duedates

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