- Python Graph Gallery - this website displays hundreds of charts while providing the reproducible Python code.
- From Data To Viz - ‘From Data to Viz’ is a classification of chart types based on input data format. It comes in the form of a decision tree leading to a set of potentially appropriate visualizations to represent your dataset.
- 5 Data Visualization Best Practices
- Visualization in Pandas
- Pandas Plotting
- Pandas Plotting Tutorial
- Using Pandas for Analyzing Data - Visualization
- Matplotlib Official Documentation
- Matplotlib Plotting Tutorial
- Plotting with Matplotlib - from Python Graph Gallery.
- Visualization with Matplotlib - a chapter from Python Data Science Handbook.
- Matplotlib Jupyter Notebooks - IPython Notebook(s) demonstrating matplotlib functionality.
- Introduction to Matplotlib - Data Visualization in Python - a blog post with a Matplotlib tutorial.
- 5 Quick and Easy Data Visualizations in Python (Matplotlib)
- Top 50 matplotlib Visualizations – The Master Plots (with full python code) - a compilation of the Top 50 matplotlib plots most useful in data analysis and visualization. This list lets you choose what visualization to show for what situation using python’s Matplotlib and Seaborn library.
- A Better Way To Add Labels To Bar Charts With Matplotlib - a blog post with a great solution to adding labels to bar charts in Maplotlib.
- Seaborn Official Documentation
- Seaborn Tutorial
- Seaborn Plotting - from Python Graph Gallery.
- How to prevent overlapping x-axis labels in sns.countplot - from stackoverflow
- How do I change the figure size for a seaborn plot? - from stackoverflow
- Bokeh Official Documentation
- Bokeh User's Guide
- Bokeh Tutorial
- Introduction and Setup
- Interactive Version - same tutorial as before, except you can edit and play with the code!
- Introduction and Setup
- Bokeh Examples Gallery
- Bokeh Reference Guide
- Bokeh 5-minute Overview
- Bokeh Tutorial
- GA Bokeh Lecture - from Ali Spittel's GitHub page.