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docs: Remove ecosystem viz section since there is one in misc already #18408

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Oct 20, 2024
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docs: Remove ecosystem viz section since there is one in misc already #18408

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5eae0cc
Remove ecosystem viz section since there is one in misc already
joelostblom Aug 27, 2024
8dc6fde
Add link to new viz section
joelostblom Sep 8, 2024
38ae4cb
Merge remote-tracking branch 'upstream/main' into rm-dup-viz-docs
MarcoGorelli Sep 23, 2024
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20 changes: 1 addition & 19 deletions docs/source/user-guide/ecosystem.md
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Expand Up @@ -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

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