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

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.

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

In this post we'll walk through creating stacked bar charts in several of Python's most popular plotting libraries, including Pandas, Matplotlib, Seaborn, Plotnine and Altair.

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

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.

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().

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 …

A tutorial on creating a line chart with confidence intervals in Python using Matplotlib, Seaborn, Altair and Plotly, including interactive versions.

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.