About libraries which are help us with data visualization by Python.
Libraries: (update in progress)
- Matplotlib
- Seaborn
What is matplotlib?
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
(If you want to visit Matplotlib's own page: https://matplotlib.org/)
- Basic: Basic plot types, usually y versus x.
- Plots of arrays and fields: Plotting for arrays of data Z(x, y) and fields U(x, y), V(x, y).
- Statistics plots: Plots for statistical analysis.
- Unstructured coordinates : Sometimes we collect data z at coordinates (x,y) and want to visualize as a contour. Instead of gridding the data and then using contour, we can use a triangulation algorithm and fill the triangles.
- 3D : 3D plots using the mpl_toolkits.mplot3d library.
what is seaborn?
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
(If you want to visit Seaborn's own page: https://seaborn.pydata.org/)
Tutorial of Seaborn: https://seaborn.pydata.org/tutorial.html