From 463ed661126439a8e743754060782d29dc4451b8 Mon Sep 17 00:00:00 2001 From: Joel Ostblom Date: Sun, 20 Oct 2024 02:04:30 -0700 Subject: [PATCH] docs: Remove ecosystem viz section since there is one in misc already (#18408) Co-authored-by: Marco Gorelli <33491632+MarcoGorelli@users.noreply.github.com> --- docs/source/user-guide/ecosystem.md | 20 +------------------- 1 file changed, 1 insertion(+), 19 deletions(-) diff --git a/docs/source/user-guide/ecosystem.md b/docs/source/user-guide/ecosystem.md index d6fc8e0c9524..9a8f96c4f72f 100644 --- a/docs/source/user-guide/ecosystem.md +++ b/docs/source/user-guide/ecosystem.md @@ -20,25 +20,7 @@ On this page you can find a non-exhaustive list of libraries and tools that supp ### Data visualisation -#### hvPlot - -[hvPlot](https://hvplot.holoviz.org/) is available as the default plotting backend for Polars making it simple to create interactive and static visualisations. You can use hvPlot by using the feature flag `plot` during installing. - -```python -pip install 'polars[plot]' -``` - -#### Matplotlib - -[Matplotlib](https://matplotlib.org/) is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. - -#### Plotly - -[Plotly](https://plotly.com/python/) is an interactive, open-source, and browser-based graphing library for Python. Built on top of plotly.js, it ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. - -#### [Seaborn](https://seaborn.pydata.org/) - -Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. +See the [dedicated visualization section](misc/visualization.md). ### IO