For time series data manipulation in Pandas, which method is best suited for resampling data at different frequencies?
- aggregate()
- groupby()
- pivot_table()
- resample()
The resample() method in Pandas is specifically designed for time series data manipulation, allowing you to resample data at different frequencies (e.g., daily to monthly) efficiently. The groupby(), aggregate(), and pivot_table() methods serve different purposes in data manipulation.
Loading...
Related Quiz
- git _______' is used to undo changes by creating a new commit with the opposite changes.
- In a scenario where an organization is transitioning to a cloud-based data warehouse, what aspect of ETL would be most impacted?
- For a recommendation system in an e-commerce platform, which machine learning technique would be most effective?
- In a collaborative project, if you need to ensure that your local repository is up-to-date with the remote before pushing changes, which Git command(s) would you use?
- _______ is a critical skill for interpreting data and making informed decisions based on that data.