The correct answer is D. All of the mentioned.
Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.
Some of the features of Pandas include:
- Data structures: Series and DataFrame are two-dimensional labeled array data structures with support for time series, missing data, and multiple index levels.
- GroupBy: An integrated group by engine for aggregating and transforming data sets.
- Moving window statistics: Functions for calculating statistics over a moving window of data.
- Pivot tables: Functions for reshaping and pivoting data.
- Data visualization: Functions for creating charts and graphs.
Pandas is a powerful tool for data analysis and manipulation. It is used by data scientists, engineers, and analysts around the world.