A comprehensive guide to data visualization, covering Matplotlib, Seaborn, and Plotly. From basic plotting techniques to advanced customization, this workshop helps you tell effective data stories in data science and analysis.

1. Introduction
2. Basic Plotting
3. Styling Plots
4. Sub Plots
5. Work with Images
6. 3D Plotting

• 👨‍💻 Programming Fundamentals
  • Proficiency in Python (data types, control structures, functions, classes, etc.).
    • My Python Workshop: github.com/mr-pylin/python-workshop
• 🔢 Basic Knowledge of NumPy
  • Understanding of NumPy arrays and basic operations.
    • My NumPy Workshop: github.com/mr-pylin/numpy-workshop

This project requires Python v3.10 or higher. It was developed and tested using Python v3.13.1. If you encounter issues running the specified version of dependencies, consider using this version of Python.

Use Poetry for dependency management. It handles dependencies, virtual environments, and locking versions more efficiently than pip.
To install exact dependency versions specified in poetry.lock for consistent environments without installing the current project as a package:

poetry install --no-root

Install all dependencies listed in requirements.txt using pip:

pip install -r requirements.txt

1. Open the root folder with VS Code (Ctrl/Cmd + K followed by Ctrl/Cmd + O).
2. Open .ipynb files using the Jupyter extension integrated with VS Code.
3. Select the correct Python kernel and virtual environment where the dependencies were installed.
4. Allow VS Code to install any recommended dependencies for working with Jupyter Notebooks.

✍️ Notes:

• It is highly recommended to stick with the exact dependency versions specified in poetry.lock or requirements.txt rather than using the latest package versions. The repository has been tested on these versions to ensure compatibility and stability.
• This repository is actively maintained, and dependencies are updated regularly to the latest stable versions.
• The table of contents embedded in the notebooks may not function correctly on GitHub.
• For an improved experience, open the notebooks locally or view them via nbviewer.

• Matplotlib Website:
  • The official website for Matplotlib, providing information, tutorials, and resources for the Matplotlib library
  • Official site: matplotlib.org
• Matplotlib Documentation:
  • Comprehensive guide and reference for all functionalities and features of the Matplotlib library
  • Doc: matplotlib.org/stable/index.html
• Matplotlib Source Code:
  • Over 1000 contributors are currently working on Matplotlib!
  • Link: github.com/matplotlib/matplotlib
• Matplotlib Cheatsheets & Handouts
  • Cheatsheets [pdf]:
    • matplotlib.org/cheatsheets/cheatsheets.pdf
  • Handouts [pdf]:
    • beginner: matplotlib.org/cheatsheets/handout-beginner.pdf
    • intermediate: matplotlib.org/cheatsheets/handout-intermediate.pdf
    • tips: matplotlib.org/cheatsheets/handout-tips.pdf

• Seaborn Website:
  • The official website for Seaborn, providing information, tutorials, and resources for the Seaborn library
  • Official site: seaborn.pydata.org
• Seaborn Documentation:
  • Comprehensive guide and reference for all functionalities and features of the Seaborn library
  • Doc: seaborn.pydata.org/tutorial.html
• Seaborn Source Code:
  • Over 200 contributors are currently working on Seaborn!
  • Link: github.com/mwaskom/seaborn

• Plotly Website:
  • The official website for Plotly, providing information, tutorials, and resources for the Plotly library
  • Official site: plotly.com
• Plotly Documentation:
  • Comprehensive guide and reference for all functionalities and features of the Plotly library
  • Doc: plotly.com/python
• Plotly Source Code:
  • Over 200 contributors are currently working on Plotly!
  • Link: github.com/plotly/plotly.py

Any mistakes, suggestions, or contributions? Feel free to reach out to me at:

• 📍linktr.ee/mr_pylin

I look forward to connecting with you! 🏃‍♂️

This project is licensed under the Apache License 2.0.
You are free to use, modify, and distribute this code, but you must include copies of both the LICENSE and NOTICE files in any distribution of your work.

• Original Images:

  • The images located in the ./assets/images/original/ folder are licensed under the CC BY-ND 4.0.
  • Note: This license restricts derivative works, meaning you may share these images but cannot modify them.

• The images located in the ./assets/images/dip_3rd/ folder are licensed under the table below:

  Image	Copyright Owner	Address
  CH02_Fig0222(b)(cameraman).tif	Massachusetts Institute of Technology	MIT.edu
  CH06_Fig0638(a)(lenna_RGB).tif	Public domain	-

• Miscellaneous assets:

  • The images found in ./assets/images/misc/ are modified versions of the ones listed above.

• Third-Party Assets:

  • Additional images located in ./assets/images/third_party/ are used with permission or according to their original licenses.
  • Attributions and references to the files included in ./assets/images/third_party/ are included in the code where these images are used.