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  1. Python Charts - Python plots, charts, and visualization

    Sep 7, 2025 · Tutorials and examples for creating many common charts and plots in Python, using libraries like Matplotlib, Seaborn, Altair and more.

  2. Python Charts - Waterfall Charts in Matplotlib and Plotly

    Oct 15, 2024 · A quick tutorial of how to create waterfall charts in python, using Matplotlib and Plotly.

  3. Python Charts - Pie Charts and Donut Charts in Plotly

    As mentioned, Plotly has two APIs you can usually use when creating charts - plotly.express and plotly.graph_objects. We'll now demonstrate the same simple pie chart using the graph objects way.

  4. Python Charts - Setting and Customizing Titles and Subtitles in …

    Below we'll show how to do this using very similar techniques we've used above. Let's first get our plot ready. We'll do two bar charts, side by side, using ax.subplots().

  5. Python Charts - Pie Charts with Labels in Matplotlib

    A tutorial on creating pie charts in python with Matplotlib, including adding labels, changing the styles, and using custom colors.

  6. Python Charts - Colors and Color Maps in Matplotlib

    A walk-through of how to set colors in plots in Matplotlib, and how to use Matplotlib colormaps.

  7. Python Charts - Customizing the Grid in Matplotlib

    You could always throw it in a function and call it for every chart, but there is an easier solution - just update Matplotlib's rcParams with the styles we want.

  8. Python Charts - Stacked Bar Charts with Labels in Matplotlib

    This post will go through a few examples of creating stacked bar charts using Matplotlib. We'll look at some styling tweaks (like choosing custom colors) as well as go through how to add labels to the …

  9. Python Charts - Grouped Bar Charts with Labels in Matplotlib

    Learn how to plot grouped bar charts in Matplotlib. We also show how to center bar labels, match bar label color to the bar, and update bar styles.

  10. Python Charts - Matplotlib Subplots

    Sep 3, 2025 · An introduction to creating multiple plots in a single figure using Matplotlib's subplots function.