Which Python code library is commonly used when developing a program to provide complex data visualization?
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
| Answers Explanation & Hints:
NumPy adds support for arrays, matrices, and other mathematical functions. Pandas adds support for tables, time series, and can be used to manipulate and clean data. Scikit-learn provides machine learning algorithms. Matplotlib supports data visualization, and is capable of creating simple line plots to complicated 3D and contour plots. |