https://explorable-explanations.com/en/categories/library/ Recent content in Libraries on Explorable Explanations Hugo -- gohugo.io en maintained by Yuichi Yazaki https://explorable-explanations.com/en/p/altair/ Sun, 01 Feb 2026 00:00:00 +0000 https://explorable-explanations.com/en/p/altair/ <img src="https://explorable-explanations.com/p/altair/images/cover.png" alt="Featured image of post Vega-Altair" /><p>Vega-Altair is a Python library for creating statistical visualizations declaratively. By combining data, encodings, marks, transforms, and interactions, you can build Vega-Lite-based charts with concise code.</p> <p>It supports not only basic charts such as scatter plots, bar charts, and line charts, but also facets, aggregation, filtering, selections, and tooltips through a consistent grammar. It is a practical way to learn reproducible visualization specifications while doing data analysis in Python.</p> <div class="external-link-card"> <a class="external-link-card__inner" href="https://altair-viz.github.io/" target="_blank" rel="noopener noreferrer"> <div class="external-link-card__media"><img src="images/cover.png" alt="Vega-Altair" loading="lazy" decoding="async" /></div> <div class="external-link-card__body"><div class="external-link-card__site">altair-viz.github.io</div><div class="external-link-card__title">Vega-Altair</div><div class="external-link-card__description">A Vega-Lite-based Python library for creating declarative statistical visualizations.</div><div class="external-link-card__url">altair-viz.github.io</div></div> <span class="external-link-card__icon" aria-hidden="true"> <svg viewBox="0 0 24 24" focusable="false"> <path d="M14 3h7v7m0-7L13 11" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /> <path d="M17 17H5V5h7" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /> </svg> </span> </a> </div>