Python Challenge: Most Profitable Companies

Find the 3 most profitable companies in the entire world. Output the result along with the corresponding company name. Sort the result based on profits in descending order.

This Python question from Forbes will test your ability to handle data manipulation and analysis. In this exercise, you'll be working with a dataset containing information about global companies. The goal is to find the 3 most profitable companies in the world. This task will enhance your understanding of key data manipulation techniques, including grouping, sorting, ranking, and filtering data in Python.

Approach Hints:?

1. Data Grouping: Use the groupby function to group the data by the 'company' column and sum up the 'profits' for each company.?
2. Resetting Index: After grouping and summing, reset the index to make 'company' a column again.?
3. Sorting Values: Sort the resulting DataFrame by the 'profits' column in descending order to get the most profitable companies at the top.?
4. Ranking: Create a new 'rank' column to rank the companies based on their profits. Use the rank method with the 'min' method to handle ties appropriately.?
5. Filtering Top 3: Filter the DataFrame to include only the top 3 companies by checking where the 'rank' is less than or equal to 3.

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