Most Recent 2022 Backup

Problem

A cloud storage app logs every time a device uploads a backup. You are given a DataFrame `backups` loaded from `backups.csv`:

```text
+-----------+----------+
| Column | Type |
+-----------+----------+
| device_id | int |
| run_at | datetime |
+-----------+----------+
(device_id, run_at) is the primary key. Each row records one backup run by a device at a given moment.
```

For every device that ran at least one backup during the year **2022**, report the timestamp of its most recent 2022 backup. Devices with no 2022 backup must not appear.

Return a DataFrame with columns `device_id` and `latest_run`, in any order.

Input data

Example rows — the live problem includes the full dataset.

Expected output

Your answer should return 3 rows with the columns device_id, latest_run.

Starter code (Pandas (Python))

import pandas as pd

def most_recent_2022_backup(backups) -> pd.DataFrame:
    # Your code here
    return backups

Related Pandas questions

• Above-Average CampusesEasy
• Adjacent Open Parking SpotsEasy
• Asset Labels With a Three-Digit CodeEasy
• Average Listening Sessions per ListenerEasy
• Average Nightly Rate Earned per RoomEasy
• Average Reviewer Tenure per GrantEasy