Monthly Stream Activity Above the Royalty Floor

PandasEasyJunior level~10 min

Problem

You are given a DataFrame `streamplays` with columns `play_id`, `played_on` (a date string), `listener_id`, and `royalty_cents`.

Consider only plays that earned strictly more than 25 royalty cents. For each calendar month (the `YYYY-MM` prefix of `played_on`) that has at least one such play, report:
- `play_count`: how many qualifying plays happened that month
- `listener_count`: how many distinct listeners produced them

Return columns `play_month`, `play_count`, `listener_count`. Months with no qualifying plays are omitted.

Input data

Example rows — the live problem includes the full dataset.

streamplays

play_id	played_on	listener_id	royalty_cents
1	2022-03-04	501	45
2	2022-03-19	502	60
3	2022-04-02	503	30
4	2022-04-22	503	28
5	2022-05-08	501	12

Expected output

Your answer should return 4 rows with the columns play_month, play_count, listener_count.

Starter code (Pandas (Python))

import pandas as pd

def monthly_stream_activity_above_the_royalty_floor(streamplays) -> pd.DataFrame:
    # Your code here
    return streamplays

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