Here are a few resources for plotting scientific data that is accessible and accurate.

• SciencePlots

• Creating publication-quality figures with Matplotlib — A great tutorial on different aspects of plotting, with matplotlib examples.

• Creating Reproducible, Publication-Quality Plots with Matplotlib and Seaborn — Another tutorial, focused on the reproducible aspects of plotting, with Matplotlib and Seaborn examples

• Visualization of Color Palettes using Maps Notice the sequential, divergent and qualitative options as those are crucial.

• YellowBrick — A matplotlib-based library for data-science. It has several templates for evaluating classifiers, exploring data, …

• missingno — A visualization library for understanding missing data in datasets.

• LovelyPlots – A theme for beautiful and TeX-compatible matplotlib themes.