Final answer:
The correct Python package for 2D graphics is Matplotlib, as it provides various functionalities for creating a wide range of static, interactive, and animated plots and visualizations.
Step-by-step explanation:
The Python package used for 2D graphics is Matplotlib. This package is specifically designed for creating static, interactive, and animated visualizations in Python. Matplotlib is widely used in the scientific and data analysis communities for its robust plotting capabilities that offer a similar user experience to MATLAB's graphical plotting. NumPy is a package for scientific computing that provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays. Pandas is used for data manipulation and analysis, specifically offering data structures and operations for manipulating numerical tables and time series. Scikit-learn is a machine learning library that provides simple and efficient tools for data mining and data analysis. None of these packages are specifically focused on 2D graphics as Matplotlib is. The Python package used for 2D graphics is: b. Matplotlib Matplotlib is a popular and powerful library for creating static, animated, and interactive visualizations in Python. It provides a variety of plotting options, including line plots, scatter plots, bar plots, histograms, and more, making it suitable for a wide range of 2D graphics applications. Matplotlib is often used in combination with other libraries like NumPy (a), which is focused on numerical operations, and Pandas (c), which is used for data manipulation and analysis. Scikit-learn (d) is a machine learning library and is not specifically designed for 2D graphics.